Event relationship analysis for temporal event search

Yi Cai*, Qing Li, Haoran Xie, Tao Wang, Huaqing Min

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)peer-review

11 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.

Original languageEnglish
Title of host publicationDatabase Systems for Advanced Applications - 18th International Conference, DASFAA 2013, Proceedings
Pages179-193
Number of pages15
EditionPART 2
DOIs
Publication statusPublished - 1 Dec 2013
Externally publishedYes
Event18th International Conference on Database Systems for Advanced Applications, DASFAA 2013 - Wuhan, China
Duration: 22 Apr 201325 Apr 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7826 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Database Systems for Advanced Applications, DASFAA 2013
CountryChina
CityWuhan
Period22/04/1325/04/13

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