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SEMCON: Semantic and contextual objective metric
2015 (English)In: Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015), IEEE, 2015, p. 65-68Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2015. p. 65-68
Keywords [en]
document handling;feature extraction;matrix algebra;multimedia computing;natural language processing;ontologies (artificial intelligence);statistical analysis;semantic and contextual objective metric;domain ontologies;multimedia document description;multimedia document organization;SEMCON model;preprocessing module;document partitioning;morphosyntatic analysis;part-of-speech extraction;POS extraction;observation matrix;statistical features;contextual score;semantic similarity score;semantic score;F1 measure;Computational modeling;Software;Computers;Databases;Internet
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-89053DOI: 10.1109/ICOSC.2015.7050779OAI: oai:DiVA.org:lnu-89053DiVA, id: diva2:1350216
Conference
9th International Conference on Semantic Computing
Available from: 2019-09-11 Created: 2019-09-11 Last updated: 2019-09-11

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Kastrati, Z.
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CiteExportLink to record
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  • apa
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  • ieee
  • modern-language-association-8th-edition
  • vancouver
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