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Cano, A. Elisabeth; He, Yulan and Alani, Harith
(2014).
URL: http://ceur-ws.org/Vol-1272/paper_124.pdf
Abstract
DBpedia has become one of the major sources of structured knowledge extracted from Wikipedia. Such structures gradually re-shape the representation of Topics as new events relevant to such topics emerge. Such changes make evident the continuous evolution of topic representations and introduce new challenges to supervised topic classification tasks, since labelled data can rapidly become outdated. Here we analyse topic changes in DBpedia and propose the use of semantic features as a more stable representation of a topic. Our experiments show promising results in understanding how the relevance of features to a topic changes over time.
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- Item ORO ID
- 41404
- Item Type
- Conference or Workshop Item
- ISSN
- 1613-0073
- Extra Information
-
ISWC-P&D 2014
ISWC 2014 Posters & Demonstrations Track
a track within the 13th International Semantic Web Conference (ISWC 2014)
Edited by Matthew Horridge, Marco Rospocher, Jacco van Ossenbruggen - Keywords
- social media; topic detection; DBpedia; concept drift; feature relevance decay
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Copyright Holders
- © 2014 for the individual papers by the papers' authors
- Related URLs
- Depositing User
- Amparo Cano Basave