The topics they are a-changing - characterising topics with time-stamped semantic graphs


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and introduce new challenges to supervised topic classification tasks, since labelled data can rapidly become outdated.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.

Divisions: College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
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Additional Information: Cano, AE, He, Y & Alani, H 2014, 'The topics they are a-changing - characterising topics with time-stamped semantic graphs'. Proc. ISWC 2014 posters & demonstrations track: a track within the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Italy, 19-23 October,
Event Title: 13th International Semantic Web Conference
Event Type: Other
Event Dates: 2014-10-19 - 2014-10-23
Uncontrolled Keywords: concept drift,DBpedia,feature relevance decay,social media,topic detection,General Computer Science
Last Modified: 27 Jun 2024 12:18
Date Deposited: 18 Jun 2015 12:15
Full Text Link: http://ceur-ws. ... 2/paper_124.pdf
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2014-10-24
Authors: Cano, A. Elizabeth
He, Yulan (ORCID Profile 0000-0003-3948-5845)
Alani, Harith



Version: Published Version

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