Tracking topics on revision graphs of wikipedia edit history

Bonan Li, Jianmin Wu, Mizuho Iwaihara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wikipedia is known as the largest online encyclopedia, in which articles are constantly contributed and edited by users. Past revisions of articles after edits are also accessible from the public for confirming the edit process. However, the degree of similarity between revisions is very high, making it difficult to generate summaries for these small changes from revision graphs of Wikipedia edit history. In this paper, we propose an approach to give a concise summary to a given scope of revisions, by utilizing supergrams, which are consecutive unchanged term sequences.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages204-207
Number of pages4
Volume8485 LNCS
ISBN (Print)9783319080093
DOIs
Publication statusPublished - 2014
Event15th International Conference on Web-Age Information Management, WAIM 2014 - Macau
Duration: 2014 Jun 162014 Jun 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8485 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other15th International Conference on Web-Age Information Management, WAIM 2014
CityMacau
Period14/6/1614/6/18

Keywords

  • edit history
  • supergram
  • topic summarization
  • Wikipedia

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Li, B., Wu, J., & Iwaihara, M. (2014). Tracking topics on revision graphs of wikipedia edit history. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8485 LNCS, pp. 204-207). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8485 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-08010-9-22