Event relationship analysis for temporal event search

Yi CAI, Qing LI, Haoran XIE, Tao WANG, Huaqing MIN

Research output: Chapter in Book/Report/Conference proceedingChapter

9 Citations (Scopus)

Abstract

There are many news articles about events reported on the Web daily, and people are getting more and more used to reading news articles online to know and understand what events happened. For an event, (which may consist of several component events, i.e., episodes), people are often interested in the whole picture of its evolution and development along a time line. This calls for modeling the dependent relationships between component events. Further, people may also be interested in component events which play important roles in the event evolution or development. To satisfy the user needs in finding and understanding the whole picture of an event effectively and efficiently, we formalize in this paper the problem of temporal event search and propose a framework of event relationship analysis for search events based on user queries. We define three kinds of event relationships which are temporal relationship, content dependence relationship, and event reference relationship for identifying to what an extent a component event is dependent on another component event in the evolution of a target event (i.e., query event). Experiments conducted on a real data set show that our method outperforms a number of baseline methods. Copyright © 2013 Springer-Verlag Berlin Heidelberg.

Original languageEnglish
Title of host publicationDatabase systems for advanced applications: 18th International Conference, DASFAA 2013, Wuhan, China, April 22-25, 2013, proceedings
EditorsWeiyi MENG, Ling FENG, Stéphane BRESSAN, Werner WINIWARTER, Wei SONG
Place of PublicationBerlin, Heidelberg
PublisherSpringer
Pages179-193
EditionPart 2
ISBN (Electronic)9783642374500
ISBN (Print)9783642374494
DOIs
Publication statusPublished - 2013

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Citation

Cai, Y., Li, Q., Xie, H., Wang, T., & Min, H. (2013). Event relationship analysis for temporal event search. In W. Meng, L. Feng, S. Bressan, W. Winiwarter, & W. Song (Eds.), Database systems for advanced applications: 18th International Conference, DASFAA 2013, Wuhan, China, April 22-25, 2013, proceedings (Pt. II, pp. 179-193). Berlin, Heidelberg: Springer.

Keywords

  • News article
  • Target event
  • Baseline method
  • Dependence relationship
  • Component event