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  • 201.
    Golub, Koraljka
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    The Making of an iSchool2018In: Information today, ISSN 8755-6286, E-ISSN 2169-0340, Vol. 35, no 4Article, review/survey (Other academic)
  • 202.
    Golub, Koraljka
    Lunds universitet.
    The role of different thesauri terms in automated subject classification of text2006Conference paper (Refereed)
    Abstract [en]

    The paper aims to explore to what degree different types of terms in engineering information (Ei) thesaurus and classification scheme influence automated subject classification performance. Preferred terms, their synonyms, broader, narrower, related terms, and captions are examined in combination with a stemmer and a stop-word list. The algorithm comprises string-to-string matching between words in the documents to be classified and words in term lists derived from the Ei thesaurus and classification scheme. The data collection for evaluation consists of some 35000 scientific paper abstracts from the compendex database. A subset of the Ei thesaurus and classification scheme is used, comprising 92 classes at up to five hierarchical levels from general engineering. The results show that preferred terms perform best, whereas captions perform worst. Stemming in most cases shows performance improvement, whereas the stop-word list does not have a significant impact.

  • 203.
    Golub, Koraljka
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Öppen vetenskap vid LNU: Det pågående arbetet med öppen data, en del av ett större projektom öppen vetenskap, KV internat, Öland, 14-15 augusti 20232023Other (Other academic)
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  • 204.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Ahlström, Ida
    Linnaeus University, The University Library.
    Hansson, Joacim
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Tyrkkö, Jukka
    Linnaeus University, Faculty of Arts and Humanities, Department of Languages.
    Subject metadata for humanities journal articles: Indexing consistency between a local repository and an external bibliographic database2019In: Presented at DCMI 2019: Metadata Innovation. Seoul, South Korea - September 23rd-26th, 2019, Dublin Core Metadata Initiative , 2019Conference paper (Refereed)
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  • 205.
    Golub, Koraljka
    et al.
    Lunds universitet.
    Ardö, Anders
    Lunds universitet.
    Importance of HTML structural elements and metadata in automated subject classification2005In: Research and advanced technology for digital libraries / [ed] Andreas Rauber, Stavros Christodoulakis, A Min Tjoa, Springer, 2005, p. 368-378Conference paper (Refereed)
    Abstract [en]

    The aim of the study was to determine how significance indicators assigned to different Web page elements (internal metadata, title, headings, and main text) influence automated classification. The data collection that was used comprised 1000 Web pages in engineering, to which Engineering Information classes had been manually assigned. The significance indicators were derived using several different methods: (total and partial) precision and recall, semantic distance and multiple regression. It was shown that for best results all the elements have to be included in the classification process. The exact way of combining the significance indicators turned out not to be overly important: using the F1 measure, the best combination of significance indicators yielded no more than 3% higher performance results than the baseline.

  • 206.
    Golub, Koraljka
    et al.
    Lunds universitet.
    Ardö, Anders
    Lunds universitet.
    Mladenic, Dunja
    Grobelnik, Marko
    Comparing and combining two approaches to automated subject classification of text2006In: Research and advanced technology for digital libraries / [ed] Julio Gonzalo, Constantino Thanos, M. Felisa Verdej and Rafael C. Carrasco, Springer, 2006, p. 467-470Conference paper (Refereed)
    Abstract [en]

    A machine-learning and a string-matching approach to automated subject classification of text were compared, as to their performance, advantages and downsides. The former approach was based on an SVM algorithm, while the latter comprised string-matching between a controlled vocabulary and words in the text to be classified. Data collection consisted of a subset from Compendex, classified into six different classes. It was shown that SVM on average outperforms the string-matching approach: our hypothesis that SVM yields better recall and string-matching better precision was confirmed only on one of the classes. The two approaches being complementary, we investigated different combinations of the two based on combining their vocabularies. The results have shown that the original approaches, i.e. machine-learning approach without using background knowledge from the controlled vocabulary, and string-matching approach based on controlled vocabulary, outperform approaches in which combinations of automatically and manually obtained terms were used. Reasons for these results need further investigation, including a larger data collection and combining the two using predictions.

  • 207.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Bergenmar,
    Humelsjö, Siska
    Searching for Swedish LGBTQI fiction: the librarians’ perspective: Survey data set2022Data set
  • 208.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Bergenmar, Jenny
    University of Gothenburg, Sweden.
    Subject Indexing LGBTQI Literature2022Other (Other academic)
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  • 209.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Bergenmar, Jenny
    University of Gothenburg, Sweden.
    Humelsjö, Siska
    University of Gothenburg, Sweden.
    Searching for Swedish LGBTQI fiction: the librarians' perspective2023In: Journal of Documentation, ISSN 0022-0418, E-ISSN 1758-7379, Vol. 79, no 7, p. 261-279Article in journal (Refereed)
    Abstract [en]

    Purpose: This article aims to help ensure high-quality subject access to Swedish lesbian, gay, bisexual, transgender, queer and intersexual (LGBTQI) fiction, and aims to identify challenges that librarians consider important to address, on behalf of themselves and end users.

    Design/methodology/approach: A web-based questionnaire comprising 35 closed and open questions, 22 of which were required, was sent via online channels in January 2022. By the survey closing date, 20 March 2022, 82 responses had been received. The study was intended to complement an earlier study targeting end users.

    Findings: Both this study of librarians and the previous study of end users have painted a dismal image of online search services when it comes to searching for LGBTQI fiction. The need to consult different channels (e.g. social media, library catalogues and friends), the inability to search more specifically than for the broad LGBTQI category and suboptimal search interfaces were among the commonly reported issues. The results of these studies are used to inform the development of a dedicated Swedish LGBTQI fiction database with an online search interface.

    Originality/value: The subject searching of fiction via online services is usually limited to genre with facets for time and place, while users are often seeking characteristics such as pacing, characterization, storyline, frame/setting, tone and language/style. LGBTQI fiction is even more challenging to search because indexing practices are not really being standardized or disseminated worldwide. This study helps address this important gap, in both research and practical applications. 

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  • 210.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Bergenmar, Jenny
    University of Gothenburg, Sweden.
    Humlesjö, Siska
    University of Gothenburg, Sweden.
    Searching for Swedish LGBTQI fiction: challenges and solutions2022In: Journal of Documentation, ISSN 0022-0418, E-ISSN 1758-7379, Vol. 78, no 7, p. 464-484Article in journal (Refereed)
    Abstract [en]

    Purpose: The purpose of this study is to investigate the needs of potential end-users of a database dedicated to Swedish lesbian, gay, bisexual, transgender, queer, and intersex (LGBTQI) literature (e.g. prose, poetry, drama, graphic novels/comics, and illustrated books), in order to inform the development of a database, search interface functionalities, and an LGBTQI thesaurus for fiction.

    Design/methodology/approach: A web questionnaire was distributed in autumn 2021 to potential end-users. The questions covered people's reasons for reading LGBTQI fiction, ways of finding LGBTQI fiction, experience of searching for LGBTQI fiction, usual search elements applied, latest search for LGBTQI fiction, desired subjects to search for, and ideal search functionalities.

    Findings: The 101 completed questionnaires showed that most respondents found relevant literature through social media or friends and that most obtained copies of literature from a library. Regarding desirable search functionalities, most respondents would like to see suggestions for related terms to support broader search results (i.e. higher recall). Many also wanted search support that would enable retrieving more specific results based on narrower terms when too many results are retrieved (i.e. higher precision). Over half would also appreciate the option to browse by hierarchically arranged subjects.

    Originality/value: This study is the first to show how readers of LGBTQI fiction in Sweden search for and obtain relevant literature. The authors have identified end-user needs that can inform the development of a new database and a thesaurus dedicated to LGBTQI fiction.

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  • 211.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Bergenmar, Jenny
    Humlesjö, Siska
    Searching for Swedish LGBTQI fiction: the librarians’ perspectiveIn: Journal of Documentation, ISSN 0022-0418, E-ISSN 1758-7379Article in journal (Refereed)
  • 212.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Bergenmar, Jenny
    Humlesjö, Siska
    Swedish LGBTQI fiction searching survey2022Data set
  • 213.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Dagobert, Soergel
    University of Buffalo, USA.
    Buchanan, George
    City University, UK.
    Tudhope, Douglas
    University of South Wales, UK.
    Lykke, Marianne
    University of Aalborg, Denmark.
    Hiom, Debra
    University of Bristol, UK.
    A framework for evaluating automatic indexing or classification in the context of retrieval2016In: Journal of the Association for Information Science and Technology, ISSN 2330-1635, E-ISSN 2330-1643, Vol. 67, no 1, p. 3-16Article in journal (Refereed)
    Abstract [en]

    Tools for automatic subject assignment help deal with scale and sustainability in creating and enriching metadata, establishing more connections across and between resources and enhancing consistency. While some software vendors and experimental researchers claim the tools can replace manual subject indexing, hard scientific evidence of their performance in operating information environments is scarce. A major reason for this is that research is usually conducted in laboratory conditions, excluding the complexities of real-life systems and situations. The paper reviews and discusses issues with existing evaluation approaches such as problems of aboutness and relevance assessments, implying the need to use more than a single “gold standard” method when evaluating indexing and retrieval and proposes a comprehensive evaluation framework. The framework is informed by a systematic review of the literature on indexing, classification and approaches: evaluating indexing quality directly through assessment by an evaluator or through comparison with a gold standard; evaluating the quality of computer-assisted indexing directly in the context of an indexing workflow, and evaluating indexing quality indirectly through analyzing retrieval performance.

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  • 214.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Hagelbäck, Johan
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Ardö, Anders
    Lund University, Sweden.
    Automatic Classification of Swedish Metadata Using Dewey Decimal Classification: A Comparison of Approaches2020In: Journal of Data and Information Science, ISSN 2096-157X, Vol. 5, no 1, p. 18-38Article in journal (Refereed)
    Abstract [en]

    Purpose

    With more and more digital collections of various information resources becoming available, also increasing is the challenge of assigning subject index terms and classes from quality knowledge organization systems. While the ultimate purpose is to understand the value of automatically produced Dewey Decimal Classification (DDC) classes for Swedish digital collections, the paper aims to evaluate the performance of six machine learning algorithms as well as a string-matching algorithm based on characteristics of DDC.

    Design/methodology/approach

    State-of-the-art machine learning algorithms require at least 1,000 training examples per class. The complete data set at the time of research involved 143,838 records which had to be reduced to top three hierarchical levels of DDC in order to provide sufficient training data (totaling 802 classes in the training and testing sample, out of 14,413 classes at all levels).

    Findings

    Evaluation shows that Support Vector Machine with linear kernel outperforms other machine learning algorithms as well as the string-matching algorithm on average; the string-matching algorithm outperforms machine learning for specific classes when characteristics of DDC are most suitable for the task. Word embeddings combined with different types of neural networks (simple linear network, standard neural network, 1D convolutional neural network, and recurrent neural network) produced worse results than Support Vector Machine, but reach close results, with the benefit of a smaller representation size. Impact of features in machine learning shows that using keywords or combining titles and keywords gives better results than using only titles as input. Stemming only marginally improves the results. Removed stop-words reduced accuracy in most cases, while removing less frequent words increased it marginally. The greatest impact is produced by the number of training examples: 81.90% accuracy on the training set is achieved when at least 1,000 records per class are available in the training set, and 66.13% when too few records (often less than 100 per class) on which to train are available—and these hold only for top 3 hierarchical levels (803 instead of 14,413 classes).

    Research limitations

    Having to reduce the number of hierarchical levels to top three levels of DDC because of the lack of training data for all classes, skews the results so that they work in experimental conditions but barely for end users in operational retrieval systems.

    Practical implications

    In conclusion, for operative information retrieval systems applying purely automatic DDC does not work, either using machine learning (because of the lack of training data for the large number of DDC classes) or using string-matching algorithm (because DDC characteristics perform well for automatic classification only in a small number of classes). Over time, more training examples may become available, and DDC may be enriched with synonyms in order to enhance accuracy of automatic classification which may also benefit information retrieval performance based on DDC. In order for quality information services to reach the objective of highest possible precision and recall, automatic classification should never be implemented on its own; instead, machine-aided indexing that combines the efficiency of automatic suggestions with quality of human decisions at the final stage should be the way for the future.

    Originality/value

    The study explored machine learning on a large classification system of over 14,000 classes which is used in operational information retrieval systems. Due to lack of sufficient training data across the entire set of classes, an approach complementing machine learning, that of string matching, was applied. This combination should be explored further since it provides the potential for real-life applications with large target classification systems.

  • 215.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Hagelbäck, Johan
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Ardö, Anders
    Lund University, Sweden.
    Automatic classification using DDC on the Swedish Union Catalogue2018In: Proceedings of the 18th European Networked Knowledge Organization Systems (NKOS 2018) Workshop, Porto, Portugal, September 13, 2018 / [ed] Philipp Mayr, Douglas Tudhope, Joseph Busch, Koraljka Golub, Marjorie Hlava & Marcia Zeng, CEUR-WS.org , 2018, p. 4-16Conference paper (Refereed)
    Abstract [en]

    With more and more digital collections of various information re- sources becoming available, also increasing is the challenge of assigning subject index terms and classes from quality knowledge organization systems. While the ultimate purpose is to understand the value of automatically produced Dewey Decimal Classification (DDC) classes for Swedish digital collections, the paper aims to evaluate the performance of two machine learning algorithms for Swe- dish catalogue records from the Swedish union catalogue (LIBRIS). The algo- rithms are tested on the top three hierarchical levels of the DDC. Based on a data set of 143,838 records, evaluation shows that Support Vector Machine with linear kernel outperforms Multinomial Naïve Bayes algorithm. Also, using keywords or combining titles and keywords gives better results than using only titles as input. The class imbalance where many DDC classes only have few records greatly affects classification performance: 81.37% accuracy on the training set is achieved when at least 1,000 records per class are available, and 66.13% when few records on which to train are available. Proposed future research involves an exploration of the intellectual effort put into creating the DDC to further improve the algorithm performance as commonly applied in string matching, and to test the best approach on new digital collections that do not have DDC assigned.

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  • 216.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Hagelbäck, Johan
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Ardö, Anders
    Automatic classification Using DDC on the Swedish Union Catalogue2019In: European DDC Users Group, EDUG, Annual Meeting 9-10 May 2019: National Library of Sweden, Stockholm, Sweden, 2019Conference paper (Other academic)
  • 217.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Hagelbäck, Johan
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Ardö, Anders
    Automatic subject classification of Swedish DDC: Impact of tuning and training data set2019In: 19th European NKOS Workshop, 23rd TPDL: Oslo, 12 September 2019, Networked Knowledge Organization Systems/Services/Structures, NKOS , 2019Conference paper (Refereed)
    Abstract [en]

    The presentation builds on the NKOS 2018 presentation of automatically produced Dewey Decimal Classification (DDC) classes for Swedish union catalogue (LIBRIS). Based on a dataset of 143,838 records, Support Vector Machine with linear kernel outperforms Multinomial Naïve Bayes algorithm. Impact of features shows that using keywords or combining titles and keywords gives better results than using only titles as input. Stemming only marginally improves the results. Removed stop-words reduced accuracy in most cases, while removing less frequent words increased it marginally. Word embeddings combined with different types of neural networks (Simple linear network, Standard neural network, 1D convolutional neural network, Recurrent neural network) produced worse results than Naïve Bayes /Support Vector Machine, but reach close results. The greatest impact is produced by the number of training examples: 81.37% accuracy on the training set is achieved when at least 1,000 records per class are available, and 66.13% when few records on which to train are available.

  • 218. Golub, Koraljka
    et al.
    Hamon, Thierry
    Ardö, Anders
    Automated classification of textual documents based on a controlled vocabulary in engineering2007In: Knowledge organization, ISSN 0943-7444, Vol. 34, no 4, p. 247-263Article in journal (Refereed)
    Abstract [en]

    Automated subject classification has been a challenging research issue for many years now, receiving particular attention in the past decade due to rapid increase of digital documents. The most frequent approach to automated classification is machine learning. It, however, requires training documents and performs well on new documents only if these are similar enough to the former. We explore a string-matching algorithm based on a controlled vocabulary, which does not require training documents--instead it reuses the intellectual work put into creating the controlled vocabulary. Terms from the Engineering Information thesaurus and classification scheme were matched against title and abstract of engineering papers from the Compendex database. Simple string-matching was enhanced by several methods such as term weighting schemes and cut-offs, exclusion of certain terms, and enrichment of the controlled vocabulary with automatically extracted terms. The best results are 76% recall when the controlled vocabulary is enriched with new terms, and 79% precision when certain terms are excluded. Precision of individual classes is up to 98%. These results are comparable to state-of-the-art machine-learning algorithms.

  • 219.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Hansson, Joacim
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    (Big) Data in Library and Information Science: A Brief Overview of Some Important Problem Areas2017In: Journal of universal computer science (Online), ISSN 0948-695X, E-ISSN 0948-6968, Vol. 23, no 11, p. 1098-1108Article in journal (Refereed)
    Abstract [en]

    Libraries hold a long history of a multidimensional focus on collecting, storing, organizing, preserving and providing access to information resources for various types of users. Data is nothing new to Library and Information Science (LIS) and Big Data presents a quantitative expansion of an already well-known object of study. Scholarly communication, data sharing and data curation are three areas related to data in LIS and are discussed in this paper in the light of current developments as well as from the perspective of attaining the research area relevance in the discipline over time. Big Data, new technologies and networked research environments will continue to increase both in numbers and size. LIS is rapidly developing tools to meet the opportunities arising - through educational initiatives and the development of new research areas such as data curation and altmetrics. Since social and political demands for open data grow, these issues are pressing.

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  • 220.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Hansson, Joacim
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Big data in Library and Information Science: from scientific communication and metadata to cultural sciences2015In: Big data: från hype till handling, Linnaeus University, 4 December 2015, 2015Conference paper (Other academic)
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  • 221.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Hansson, Joacim
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Welcome and introduction: To workshop and participants2016In: 16th European Networked Knowledge Organization Systems (NKOS) Workshop at the International Conference on Dublin Core and Metadata Applications 2016 (DC-2016), 2016Conference paper (Other academic)
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    presentation
  • 222.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Hansson, Joacim
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Löwe, Welf
    Linnaeus University, Faculty of Technology, Department of Computer Science.
    Milrad, Marcelo
    Linnaeus University, Faculty of Technology, Department of Media Technology.
    LNU as a Unique iSchool2016Other (Other academic)
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    poster
  • 223.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Hansson, JoacimLinnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.Seldén, LarsLinnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Bulletin of the Association for Information Science and Technology: Special Issue : iSchools Around the World2016Collection (editor) (Other academic)
  • 224.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Hansson, Joacim
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Seldén, Lars
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Cult of the "I": Organizational symbolism and curricula in three Scandinavian iSchools with comparisons to three American2017In: Journal of Documentation, ISSN 0022-0418, E-ISSN 1758-7379, Vol. 73, no 1, p. 48-74Article in journal (Refereed)
    Abstract [en]

    Purpose

    The purpose of the paper is to analyse three Scandinavian iSchools in Denmark, Norway and Sweden with regard to their intentions of becoming iSchools and curriculum content in relation to these intentions. By doing so, a picture will be given of the international expansion of the iSchool concept in terms of organisational symbolism and practical educational content. In order to underline the approaches of the Scandinavian schools, comparisons are made to three American iSchools.

    Design/methodology/approach

    The study is framed through theory on organisational symbolism and the intentions of the iSchool movement as formulated in its vision statements. Empirically, the study consists of two parts: close readings of three documents outlining the considerations of three Scandinavian LIS schools before applying for the iSchool status, and statistical analysis of 427 syllabi from master level courses at three Scandinavian and three American iSchools.

    Findings

    All three Scandinavian schools, analysed, have recently become iSchools, and though some differences are visible, it is hard to distinguish anything in their syllabi as carriers of what can be described as an iSchool identity. In considering iSchool identity, it instead benefits on a symbolic level that are most prominent, such as branding, social visibility and the possible attraction of new student groups. The traditionally strong relation to national library sectors are emphasised as important to maintain, specifically in Norway and Sweden.

    Research limitations/implications

    The study is done on iSchools in Denmark, Norway and Sweden with empirical comparison to three American schools. These comparisons face the challenge of meeting the educational system and programme structure of each individual country. Despite this, findings prove possible to use as ground for conclusions, although empirical generalisations concerning, for instance, other countries must be made with caution.

    Practical implications

    This study highlights the practical challenges met in international expansion of the iSchool movement, both on a practical and symbolic level. Both the iSchool Caucus and individual schools considering becoming iSchools may use these findings as a point of reference in development and decision making.

    Originality/value

    This is an original piece of research from which the results may contribute to the international development of the iSchool movement, and extend the theoretical understanding of the iSchool movement as an educational and organisational construct.

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  • 225.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Hansson, Joacim
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Soergel, Dagobert
    University of Buffalo, USA.
    Tudhope, Douglas
    University of South Wales, UK.
    Managing classification in libraries: a methodological outline for evaluating automatic subject indexing and classification in Swedish library catalogues2015In: Classification & authority control: expanding resource discovery - proceedings of the International UDC Seminar 2015, 29-30 october, Lisbon, Portugal / [ed] Aida Slavic, Maria Inês Cordeiro, Würtzburg: Ergon-Verlag, 2015, p. 163-174Conference paper (Refereed)
  • 226.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Herault, Romain Christian
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Lundman, Madeleine
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Milrad, Marcelo
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Increasing visibility of culture through online information services: The case of Småland2019In: Presented at iConference 2019: Inform, include, inspire. March 31 - April 3, Maryland, USA, 2019Conference paper (Other academic)
    Abstract [en]

    Cultural events are of increasing importance as value creators in our society. They can serve to promote the attractiveness of a region, to increase social interactions and the quality of life and, not the least, to boost local economies. Today, a comprehensive and up-to-date online overview of cultural events in Småland, a region in southeastern Sweden, is missing mainly due the fact that information is distributed across different actors, communication channels and different media (e.g. individual organizers, commercial vendors, community calendars, newspapers calendars).

    The ultimate purpose of our research is to significantly increase access to information and awareness of cultural attractiveness in Småland using innovative web technologies, both for its inhabitants as well as tourists. Reporting on the first stage of the project, this paper focuses on the exploration of requirements to design a mobile application and a website.

    First guidelines for the design of web and mobile interfaces have been in existence since the early 2000s (Weiss, 2003) and have been updated accordingly to reflect the evolution of technology and the evolution of web and mobile applications. In order to get users to use the application or website, they need to be simple, easy to understand, and present meaningful information to the user (Rubino et al., 2014).

    Functionalities for a cultural event app and/or website include those referring to general ones pertinent to any user-friendly app and specific ones related to information on cultural events. General major functionalities identified in the literature include:

    • Clear and concise way of displaying the content (Boiano et al., 2012);

    • Interactive and quick responding interfaces (ibid.);

    • An interface which is easy to understand with few controls (Gena et al., 2013);

    • The ability to share information, write reviews and connect, which in turn will make the application more visible for the general public (ibid.); and,

    • Utilising user-generated content (ratings, tags, comments, and so on) as a source of information about a user, and for adaptation and recommendation purposes (ibid.).

    Our methodological approach involved three major steps. First, an interview with cultural events providers, using contemporary art as a use case, was conducted in order to identify initial needs and requirements for building the two types of interfaces. The interviews were conducted with two representatives of a governmental institution promoting contemporary art in the region, called Nya Småland (in English New Småland, http://www.nyasmaland.se/9/). After the first round of interviews, initial mock-ups of the interfaces were built, followed by another round of interviews to gain insights and feedback on those designs. Themes in the interviews focused on requirements, functionalities, cultural event providers in the different regions and user groups. The interviewees said that it is generally important to make contemporary art galleries and their activities visible to a wider audience through a good-quality app and a web site. It is often hard to reach the public with cultural events; one reason could be lack of money for advertising. The information gathered from the interviews was then used when creating a new round of refined mock-ups.

    In conclusion, the interviewees consider a quality app and a website for cultural events on contemporary art an important way in which to increase visibility of cultural events in the region and beyond. In addition, preserving information about past events for future uses is considered important, especially for journalists, politicians and journalists. Future research efforts will focus on developing an interactive prototype and gain feedback from content providers and a range of potential end user groups.

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  • 227.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Humlesjö, Siska
    University of Gothenburg, Sweden.
    Kriström, Olov
    University of Gothenburg, Sweden.
    Adapting Homosaurus for LGBTQI Fiction in Sweden2022In: 20th European Networked Knowledge Organization Systems (NKOS) Workshop: A virtual workshop to be held as part of the JCDL 2022 Conference Thursday 23rd June 2022, NKOS , 2022Conference paper (Refereed)
  • 228.
    Golub, Koraljka
    et al.
    University of Zagreb.
    Jelušić, Srećko
    Radovanlija-Mileusnić, Snježana
    Pavelić, Damir
    Eksperimentalna primjena zapisa Dublin Core, ONIX i UNIMARC u elektronickim knjizarama u Hrvatskoj: Experimental application of Dublin Core, ONIX and UNIMARC metadata at Croatian online bookshops2002Conference paper (Other academic)
    Abstract [en]

    "Possibilities of using Dublin Core, ONIX and UNIMARC bibliographic records in Croatian online bookshops" describes a research conducted in the period from October 2001 to October 2002, based on the application of three different record formats for printed monographs (Dublin Core, ONIX and UNIMARC)in cooperation with online bookshops in Croatia that wanted to participate. The aim of the researsch was to determine to which extent do different record formats comply with software packages of Croatian online bookshops, as well as what can be recommended to publishers willing to create records (by themselves or with a help from librarians) for the future. The long-term aim was to start metadata creation that will be compatible with a variety of online bookshops and that will enable a better accessibility of print and electronic publications of heritage institutions that also publish.

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  • 229.
    Golub, Koraljka
    et al.
    University of Bath, United Kingdom.
    Jones, Catherine
    Lykke Nielsen, Marianne
    Matthews, Brian
    Moon, Jim
    Tudhope, Douglas
    Enhanced Tagging for Discovery (EnTag): final report2009Report (Other academic)
    Abstract [en]

    The EnTag project explored the combination and comparison of controlled and folksonomy approaches to semantic interoperability in the context of repositories and digital collections. The aim was to investigate the effect on indexing and retrieval when using only social tagging versus when using social tagging in combination with a knowledge organization system. Two different contexts were explored: tagging by readers (Intute) and tagging by authors (Science and Technology Facilities Council (STFC)). The major development was that of Intute.

    For each of these a separate demonstrator was developed, one operating on data extracted from Intute (Intute 2008), and the other operating over STFC’s repository (STFC ePublication Archive 2008) in which tagging was conducted by authors submitting papers to the repository. A user study was conducted for each demonstrator, which allowed a general comparison of a repository versus digital collection context, a different knowledge organization system, interface and user community.

    Three major methods to collect user data were log analysis, questionnaires, and interviews. The evaluation of the Intute demonstrator involved comparing basic and advanced system for indexing and retrieval implications. The test setting comprised 28 students in political science and 60 documents covering 4 topics of relevance for the students. Dewey Decimal Classification was used. The STFC study involved 10 authors depositors. The ACM Computing Classification Scheme was used.

    The results of the Intute study showed the importance of controlled vocabulary suggestions (to produce ideas of tags to use, to ensure consistency and retrieval, to make it easier to find focus for the tagging, etc.) Furthermore, the value and usefulness of the suggestions proved to be very dependent on the quality of the suggestions. The suggestions must be user-oriented as regards to level of specificity, perspective and currency. Most tags were added by typing them directly in, as common in social tagging applications; of the other features used, the most frequent one was DDC suggestions, and another tagger’s cloud. That the participants appreciated the suggestions was also seen from their comments. Both simple tagging and enhanced tagging provided additional entry points (for retrieval) beyond the original indexing. There was some evidence that vocabulary-based suggestions, in particular, provided additional access points beyond the literal text. Most participants claimed that they would be willing to use similar tools in real life.

    The results of the STFC study show that there is a general pervading sentiment amongst the depositors that choosing terms from a controlled vocabulary was a “good thing” and in fact better than own terms. The participants could overall see the point of the adding terms for information retrieval purposes, and could see the advantages of consistency of retrieval if the terms used were from an authoritative source. Most claimed that they would be willing to use a tool similar to the one provided, albeit with some reservations and suggestions about the interface. ACM classification was however not seen as good enough for the purposes of this group.

    In conclusion, we recommend that social tagging be allowed in the JISC context (e.g., repositories), enhanced with suggestions from a controlled vocabulary. More findings are needed so it is important to further analyze, experiment and pilot test tools derivative from both Intute and STFC demonstrators. It was shown that further developments and improvements are needed in the following major aspects: automated suggestions, controlled suggestions, tag input features such as auto-complete and spelling checking, controlled vocabulary presentation, other controlled vocabularies and the user interface. Detailed recommendations are discussed in Deliverable 5.1: Recommendations briefing paper.

  • 230.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Kamal, Ahmad M.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Vekselius, Johan
    Stockholm University, Sweden.
    Knowledge Organisation for Digital Humanities: An Introduction2021In: Information and Knowledge Organisation in Digital Humanities: Global Perspectives / [ed] Koraljka Golub, Ying-Hsang Liu, Routledge, 2021, p. 1-22Chapter in book (Refereed)
    Abstract [en]

    The chapter introduces the discipline of knowledge organisation (KO) and its relevance to scholars and practitioners in the field of digital humanities (DH). It sets the stage for the volume's 12 contributed chapters, which present case studies at the intersection of the two research areas. The contributions develop themes that highlight the specific opportunities and challenges of bringing these fields together. The themes of the chapters reflect the preeminent research topics of KO for DH: metadata in cultural heritage collections, which includes topics like conceptual models; data aggregation and metadata enrichment. Information management of textual collections, lexical resources and research outputs provide another important focus. Interfaces to cultural heritage collections and automated techniques are also addressed. Several chapters are directly driven by humanities research questions: one example is the ResearchSpace project, which demonstrates the ineffectiveness of data-based information organisation for historians. Another is the use of geographic information systems (GIS) and semantic annotation to explore a classical text. Finally, the chapter calls for transdisciplinary research collaborations that will bridge the gap within and at the intersections of KO and DH.

  • 231.
    Golub, Koraljka
    et al.
    Lunds universitet.
    Larsen, Birger
    Different approaches to automated classification: is there an exchange of ideas?2005In: Proceedings of ISSI 2005 – the 10th International Conference of the International Society for Scientometrics and Informetrics, Stockholm, Sweden, July 24-28, 2005, Volume 1. / [ed] Peter Ingwersen and Birger Larsen, Stockholm: Karolinska University Press , 2005, p. 270-274Conference paper (Refereed)
    Abstract [en]

    Automated classification of text has been studied by three major research communities, machine learning, information retrieval, and library science, each taking a different approach. The paper aims to study to what a degree the three communities explore others’ ideas, methods, findings. To that purpose we studied direct links (do authors from one community cite authors from another) and indirect links (using bibliographic coupling). Although the study is based on a small sample of 148 papers, the results indicate that the three communities do not exchange ideas to a great extent.

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  • 232.
    Golub, Koraljka
    et al.
    University of Zagreb .
    Lazić, Nikolaj
    University of Zagreb .
    Accessibility of public library Web sites2002Conference paper (Other academic)
    Abstract [en]

    Due to constraints in various browsers and multimedia players people can experience difficulty using the World Wide Web. This is particularly true for people with disabilities who use assistive technologies that can be even more restricted in accessing Web content. This can have greater consequences, such as inaccessible education and lack of access to information in general. Also, access to Web content is sometimes more critical for people with disabilities who can make use of particular digital media only because they are print-disabled. Finally, Web sites created accessible are more usable to non-disabled users as they are more easily navigable and can be used by non-graphical desktop browsers. Particularly affected people with disabilities are visually impaired (blind, short or long sighted, colour blind, tunnel vision sufferers), dyslexic, and people with motor disabilities who are not able to use a mouse. One of disabilities that are most likely to affect Web access is visual impairment. Visually impaired users have difficulties with pages having images without alternative text, especially if images are used as links (as are in image maps). Other common problems are: using structural elements for page layout (using heading mark-ups for making things written in bigger or different type-face), non-described multimedia (no alternative text for sounds and videos), non-existent alternative for finding pages by browsers unable to render frames and scripting languages, non-described tables, poor colour contrast and badly chosen colours for colour blind users. As libraries are intended to provide equal access to information for all, our intention was to determine to what extent Croatian public libraries really ensure access to content provided on their Web pages. To that purpose, W3C’s Web Content Accessibility Guidelines 1.0 have been used to compare the sites with the recommended guidelines. Libraries should provide accessible Web sites, as well as promote Web content accessibility in the community.

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  • 233.
    Golub, Koraljka
    et al.
    University of Zagreb.
    Lazić, Nikolaj
    Pristupačnost mrežnih stranica hrvatskih narodnih knjižnica: Accessibility of Croatian public library Web sites2002In: Edupoint, ISSN 1333-5987, Vol. 2, no 8Article in journal (Other academic)
    Abstract [en]

    In the context of the emerging global information infrastructure, designing web content for all involves necessarily people with special needs and disabilities. The World Wide Web Consortium proposes guidelines and techniques to help web designers create web pages accessible to people with a variety of disabilities and thus ensure more equal access for all. However, following the guidelines would also help anybody searching through the World Wide Web. The intention is not to discourage usage of non-text formats, but to make such content more widely accessible. A research has been conducted in order to determine to what extent Croatian public library web sites conform to the guidelines.

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  • 234.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Liu, Ying-Hsang
    Oslo Metropolitan University, Norway.
    Coffee with the editors: Koraljka Golub & Ying-Hsang Liu present Information and Knowledge Organisation in Digital Humanities: Global Perspectives2022Other (Other academic)
    Abstract [en]

    Information and Knowledge Organisation in Digital Humanities: Global Perspectives (DCMI), explores the potential uses of, and challenges involved in, applying the organisation of information and knowledge in the various areas of Digital Humanities. By focussing on how information is described, represented, and organised in both research and practice, this work furthers the transdisciplinary nature of digital humanities. Most importantly, perhaps, the book provides a starting point for discussions about the impact of information and knowledge organisation and related tools on the methodologies used in the Digital Humanities field. The book is by and large an international volume, as its 41 authors are affiliated with universities and related organisations in 16 countries on 4 continents. Since several chapters are authored by practitioners, with real world examples, practitioners will also appreciate the relevance of this work, as well as offer inspirations for new projects and initiatives.

    Prof. Golub and Dr. Liu will briefly provide an overview of the book and reflections on its goals and production. There will be plenty of time for questions and discussion.

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  • 235.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Liu, Ying-Hsang
    Oslo Metropolitan University, Norway.
    Information and Knowledge Organisation in Digital Humanities2021Other (Other academic)
    Download (pdf)
    presentation (pdf)
  • 236.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Liu, Ying-Hsang
    Information and Knowledge Organisation in Digital Humanities2022Other (Other academic)
  • 237.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Liu, Ying-HsangOslo Metropolitan University, Norway.
    Information and Knowledge Organisation in Digital Humanities: Global Perspectives2022Collection (editor) (Refereed)
    Abstract [en]

    Information and Knowledge Organisation explores the role of knowledge organisation in the digital humanities. By focusing on how information is described, represented and organised in both research and practice, this work furthers the transdisciplinary nature of digital humanities.

    Including contributions from Asia, Australia, Europe, North America and the Middle East, the volume explores the potential uses of, and challenges involved in, applying the organisation of information and knowledge in the various areas of Digital Humanities. With a particular focus on the digital worlds of cultural heritage collections, the book also includes chapters that focus on machine learning, knowledge graphs, text analysis, text annotations and network analysis. Other topics covered include: semantic technologies, conceptual schemas and data augmentation, digital scholarly editing, metadata creation, browsing, visualisation and relevance ranking. Most importantly, perhaps, the book provides a starting point for discussions about the impact of information and knowledge organisation and related tools on the methodologies used in the Digital Humanities field.

    Information and Knowledge Organisation is intended for use by researchers, students and professionals interested in the role information and knowledge organisation plays in the Digital Humanities. It will be essential reading for those working in library and information science, computer science and across the humanities.

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  • 238.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Lund, Arwid
    Södertörn University, Sweden.
    Why Open Government Data?: The Case of a Swedish Municipality2021In: Journal of Data and Information Science, E-ISSN 2543-683X, Vol. 6, no 1, p. 120-138Article in journal (Refereed)
    Abstract [en]

    The purpose of this exploratory study is to provide modern local governments with potential use cases for their open data, in order to help inform related future policies and decision-making. The concrete context was that of the Växjö municipality located in southeastern Sweden.

    The methodology was two-fold: 1) a survey of potential end users (n=151) from a local university; and, 2) analysis of survey results using a theoretical model regarding local strategies for implementing open government data.

    Most datasets predicted to be useful were on: sustainability and environment; preschool and school; municipality and politics. The use context given is primarily research and development, informing policies and decision making; but also education, informing personal choices, informing citizens and creating services based on open data. Not the least, the need for educating target user groups on data literacy emerged. A tentative pattern comprising a technical perspective on open data and a social perspective on open government was identified.

    In line with available funding, the nature of the study was exploratory and implemented as an anonymous web-based survey of employees and students at the local university. Further research involving (qualitative) surveys with all stakeholders would allow for creating a more complete picture of the matter.

    The study determines potential use cases and use contexts for open government data, in order to help inform related future policies and decision-making.

    Modern local governments, and especially in Sweden, are faced with a challenge of how to make their data open, how to learn about which types of data will be most relevant for their end users and what will be different societal purposes. The paper contributes to knowledge that modern local governments can resort to when it comes to attitudes of local citizens to open government data in the context of an open government data perspective.

  • 239.
    Golub, Koraljka
    et al.
    University of Bath.
    Lykke, Marianne
    Automated classification of Web pages in hierarchical browsing2009In: Journal of Documentation, ISSN 0022-0418, E-ISSN 1758-7379, Vol. 6, no 65, p. 901-925Article in journal (Refereed)
    Abstract [en]

    Purpose - The purpose of this study is twofold: to investigate whether it is meaningful to use the Engineering Index (Ei) classification scheme for browsing, and then, if proven useful, to investigate the performance of an automated classificationalgorithm based on the Ei classification scheme.

    Design/methodology/approach - A user study was conducted in which users solved four controlled searching tasks. The users browsed the Ei classification scheme in order to examine the suitability of the classification systems for browsing. The classification algorithm was evaluated by the users who judged the correctness of the automatically assigned classes.

    Findings - The study showed that the Ei classification scheme is suited for browsing. Automatically assigned classes were on average partly correct, with some classes working better than others. Success of browsing showed to be correlated and dependent on classification correctness.

    Research limitations/implications - Further research should address problems of disparate evaluations of one and the same web page. Additional reasons behind browsing failures in the Ei classification scheme also need further investigation.

    Practical implications - Improvements for browsing were identified: describing class captions and/or listing their subclasses from start; allowing for searching for words from class captions with synonym search (easily provided for Ei since the classes are mapped to thesauri terms); when searching for class captions, returning the hierarchical tree expanded around the class in which caption the search term is found. The need for improvements of classification schemes was also indicated.

    Originality/value - A User-based evaluation of automated subject classification in the context of browsing has not been conducted before; hence the study also presents new findings concerning methodology.

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  • 240.
    Golub, Koraljka
    et al.
    University of Bath, UK.
    Lykke, Marianne
    Aalborg University, Denmark.
    Tudhope, Douglas
    University of South Wales, UK.
    Enhancing social tagging with automated keywords from the Dewey Decimal Classification2014In: Journal of Documentation, ISSN 0022-0418, E-ISSN 1758-7379, Vol. 70, no 5, p. 801-828Article in journal (Refereed)
    Abstract [en]

    Purpose To explore the potential of applying the Dewey Decimal Classification as an established knowledge organisation system for enhancing social tagging, with the ultimate purpose of improving subject indexing and information retrieval. Design/methodology/approach Over 11,000 Intute metadata records in politics were used. 28 politics students were each given 4 tasks, in which a total of 60 resources were tagged in two different configurations, one with uncontrolled social tags only and another with uncontrolled social tags as well as suggestions from a controlled vocabulary. The controlled vocabulary was Dewey Decimal Classification (DDC) comprising also mappings from the Library of Congress Subject Headings (LCSH). Findings The results demonstrate the importance of controlled vocabulary suggestions for indexing and retrieval: to help produce ideas of which tags to use, to make it easier to find focus for the tagging, to ensure consistency and to increase the number of access points in retrieval. The value and usefulness of the suggestions proved to be dependent on the quality of the suggestions, both as to conceptual relevance to the user and as to appropriateness of the terminology. Originality/value No research has investigated the enhancement of social tagging with suggestions from the Dewey Decimal Classification, an established knowledge organisation system, in a user trial, comparing social tagging only and social tagging enhanced with the suggestions. This paper is a final reflection on all aspects of the study.

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  • 241.
    Golub, Koraljka
    et al.
    University of Bath, United Kingdom .
    Lykke Nielsen, Marianne
    Royal School of Library and Information Science, Denmark .
    Moon, Jim
    University of Glamorgan, United Kingdom.
    Tudhope, Douglas
    University of Glamorgan, United Kingdom.
    Enhancing social tagging with a knowledge organization system2009Conference paper (Other academic)
  • 242. Golub, Koraljka
    et al.
    Matovina, Jagoda
    Portali arhiva, knjižnica, muzeja: radionica2002In: 5. seminar Arhivi, knjižnice, muzeji : mogućnosti suradnje u okruženju globalne informacijske infrastrukture : zbornik radova, Zagreb: Hrvatsko knižničarsko društvo , 2002, p. 244-252Conference paper (Refereed)
  • 243.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Milrad, Marcelo
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Designing a Master programme in digital humanities: The case study of Linnaeus University, Sweden2020In: Empowering the Visibility of Croatian Cultural Heritage through the Digital Humanities / [ed] Marijana Tomić, Mirna Willer, Nives Tomašević, Cambridge Scholars Publishing, 2020, p. 364-392Chapter in book (Refereed)
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  • 244.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Milrad, Marcelo
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Lundman, Madeleine
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Herault, Romain Christian
    Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
    Increasing visibility of culture through online information services: The case of Småland2019In: BOBCATSSS 2019: Information and technology transforming lives:connection, interaction, innovation: Proceedings / [ed] Gordana Gašo, Mirna Gilman Ranogajec, Jure Žilić, Madeleine Lundman, Tampere: European Association for Library and Information Education and Research , 2019, p. 458-470Conference paper (Other academic)
    Abstract [en]

    Cultural events are of increasing importance as value creators in our society. They can serve to promote the attractiveness of a region, to increase social interactions and the quality of life and, not the least, to boost local economies. The ultimate purpose of our research is to significantly increase awareness of cultural attractiveness in Småland using innovative web technologies, both for its inhabitants as well as tourists. Reporting on the first stage of the project, this paper focuses on the exploration of requirements to design a mobile application and a website of cultural events in the region with contemporary art as a use case. 

    Our methodological approach involved three major steps. First, interviews with cultural event providers, with focus on contemporary art, were conducted in order to identify initial needs and requirements for building the two types of interfaces.The interviews were conducted with two representatives of a governmental institution promoting contemporary art in the region, called Nya Småland (in English New Småland, http://www.nyasmaland.se/9/). After the first round of interviews, initial mock-ups of the interfaces were built, followed by another round of interviews to gain insights and feedback on those designs. Themes in the interviews addressed requirements and functionalities, both from perspectives of cultural event providers as well as those of user groups. The interviewees agreed that it is generally important to make contemporary art galleries and their activities visible to a wider audience through a good-quality app and a web site. It is often hard to reach the public with cultural events; one reason could be lack of money for advertising. 

    In conclusion, the interviewees consider a quality app and a website for cultural events on contemporary art an important way in which to increase visibility of cultural events in the region and beyond. In addition, preserving information about past events for future uses is considered important, especially for journalists and politicians. Future research efforts will focus on developing an interactive prototype and acquiring feedback from content providers and a range of potential end user groups.

    Download full text (pdf)
    fulltext
  • 245.
    Golub, Koraljka
    et al.
    University of Bath, UK.
    Moon, Jim
    University of Glamorgan, UK.
    Tudhope, Douglas
    University of Glamorgan, UK.
    Jones, Catherine
    STFC Rutherford Appleton Laboratory, UK.
    Matthews, Brian
    STFC Rutherford Appleton Laboratory, UK.
    Puzon, Bartomiej
    STFC Rutherford Appleton Laboratory, UK.
    Lykke Nielsen, Marianne
    Royal School of Library and Information Science, Denmark.
    EnTag: Enhancing Social Tagging for Discovery2009In: JCDL '09 Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries, ACM Press, 2009, p. 163-172Conference paper (Refereed)
    Abstract [en]

    The EnTag (Enhanced Tagging for Discovery) project investigated the effect on indexing and retrieval when using only social tagging versus when using social tagging in combination with suggestions from a controlled vocabulary. Two different contexts were explored: tagging by readers of a digital collection and tagging by authors in an institutional repository; also two different controlled vocabularies were examined, Dewey Decimal Classification and ACM Computing Classification Scheme. For each context a separate demonstrator was developed and a user study conducted. The results showed the importance of controlled vocabulary suggestions for both indexing and retrieval: to help produce ideas of tags to use, to make it easier to find focus for the tagging, as well as to ensure consistency and increase the number of access points in retrieval. The value and usefulness of the suggestions proved to be dependent on the quality of the suggestions, both in terms of conceptual relevance to the user and in appropriateness of the terminology. The participants themselves could also see the advantages of controlled vocabulary terms for retrieval if the terms used were from an authoritative source.

    Download full text (pdf)
    fulltext
  • 246.
    Golub, Koraljka
    et al.
    The University of Bath, UK.
    Muller, Henk
    The University of Bath, UK.
    Tonkin, Emma
    The University of Bath, UK.
    Technologies for metadata extraction2014In: Handbook of Metadata, Semantics and Ontologies, World Scientific, 2014, p. 487-522Chapter in book (Refereed)
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  • 247.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Pestana, Olivia
    University of Porto, Portugal.
    Introduction to Knowledge Organisation Systems for the Digital Humanities: A DiMPAH OER (Open Educational Resource)2023Other (Other academic)
  • 248.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Pestana, Olivia
    University of Porto, Portugal.
    Subject-based knowledge organisation: An OER for supporting (digital) humanities research2023In: Education for Information, ISSN 0167-8329, E-ISSN 1875-8649, Vol. 39, no 2, p. 203-216Article in journal (Refereed)
    Abstract [en]

    Humanities scholars can today engage in research inquiry using data from a range of varied collections which are often characterised by poor subject access, often resulting in systems that underperform and even effectively prevent access to data, information and knowledge. In spite of the availability of professional standards and guidelines to provide quality-controlled subject access through knowledge organisation systems (KOS), subject access in such collections is rarely based on KOS. At the same time, KOS themselves may come with problems such as being slow to update, being rigidly structured and not incorporating end-users’ vocabulary. It may therefore be useful to consider methods for remediating these deficiencies in KOSs, such as collecting user-generated metadata via social tagging or complementing automated indexing techniques with manual ones. To help address the above problems, the paper discusses these challenges and points to possible solutions in different contexts. It does so by reflecting on an open educational resource (OER) devoted to this theme, titled Introduction to Knowledge Organisation Systems for Digital Humanities. It was developed as part of an EU project called DiMPAH (Digital Methods Platform for the Arts and Humanities), 2021–2023, creating seven OERs for inclusion in DARIAH Teach.

  • 249.
    Golub, Koraljka
    et al.
    Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
    Ping Huang, Marianne
    Aarhus University, Denmark.
    Expanding DARIAH Teach with seven OERs from the DiMPAH project2023Conference paper (Refereed)
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  • 250. Golub, Koraljka
    et al.
    Ravnic, Robert
    Resource Description Format - RDF2002In: 5. seminar Arhivi, knjižnice, muzeji : mogućnosti suradnje u okruženju globalne informacijske infrastrukture : zbornik radova, Zagreb: Hrvatsko knižničarsko društvo , 2002, p. 90-99Conference paper (Refereed)
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