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

A. Elizabeth Cano, Yulan He, Harith Alani

Research output: Chapter in Book/Published conference outputConference publication

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and introduce new challenges to supervised topic classification tasks, since labelled data can rapidly become outdated.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

Original languageEnglish
Title of host publicationISWC-P&D 2014 : ISWC 2014 posters & demonstrations track
Subtitle of host publicationproceedings of the ISWC 2014 posters & demonstrations track: a track within the 13th International Semantic Web Conference (ISWC 2014)
EditorsMatthew Horridge, Marco Rospocher, Jacco van Ossenbruggen
PublisherCEUR-WS.org
Pages409-412
Number of pages4
Publication statusPublished - 24 Oct 2014
Event13th International Semantic Web Conference - Riva del Garda, Italy
Duration: 19 Oct 201423 Oct 2014

Publication series

NameCEUR workshop proceedings
PublisherCEUR
Volume1272
ISSN (Print)1613-0073

Conference

Conference13th International Semantic Web Conference
Abbreviated titleISWC 2014
Country/TerritoryItaly
CityRiva del Garda
Period19/10/1423/10/14

Bibliographical note

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, ceur-ws.org/Vol-1272/paper_124.pdf

Keywords

  • concept drift
  • DBpedia
  • feature relevance decay
  • social media
  • topic detection

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