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.
Chapter PDF
References
Allan, J., Gupta, R., Khandelwal, V.: Temporal summaries of new topics. In: SIGIR 2001: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 10–18. ACM, New York (2001)
Feng, A., Allan, J.: Finding and linking incidents in news. In: CIKM 2007: Proceedings of the Sixteenth ACM Conference on Conference on Information and Knowledge Management, pp. 821–830. ACM, New York (2007)
Feng, A., Allan, J.: Incident threading for news passages. In: CIKM 2009: Proceeding of the 18th ACM Conference on Information and Knowledge Management, pp. 1307–1316. ACM, New York (2009)
Fung, G.P.C., Yu, J.X., Liu, H., Yu, P.S.: Time-dependent event hierarchy construction. In: Proceedings of KDD 2007, pp. 300–309. ACM, New York (2007)
Ishii, H., Ma, Q., Yoshikawa, M.: Causal network construction to support understanding of news. In: Proceedings of HICSS 2010, pp. 1–10. IEEE Computer Society, Washington, DC (2010)
Jin, P., Lian, J., Zhao, X., Wan, S.: Tise: A temporal search engine for web contents. In: IITA 2008: Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application, pp. 220–224. IEEE Computer Society, Washington, DC (2008)
Fisichella, K.D.M., Stewart, A., Nejdl, W.: Unsupervised public health event detection for epidemic intelligence. In: CIKM 2010: Proceeding of the 19th ACM Conference on Information and Knowledge Management (2010)
Mei, Q., Liu, C., Su, H., Zhai, C.: A probabilistic approach to spatiotemporal theme pattern mining on weblogs. In: WWW 2006: Proceedings of the 15th International Conference on World Wide Web, pp. 533–542. ACM, New York (2006)
Nallapati, R., Feng, A., Peng, F., Allan, J.: Event threading within news topics. In: CIKM 2004: Proceedings of the Thirteenth ACM International Conference on Information and Knowledge Management, pp. 446–453. ACM, New York (2004)
Steuer, J.S.R., Daub, C.O., Kurths, J.: Measuring distances between variables by mutual information. In: Proceedings of the 27th Annual Conference of the Gesellschaft für Klassifikation: Cottbus, pp. 81–90. Springer (2003)
Rich, C.: Writing and Reporting News: A Coaching Method, 6th edn. Wadsworth Publishing Company (2009)
Smith, D.A.: Detecting and browsing events in unstructured text. In: SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 73–80. ACM, New York (2002)
Subasic, I., Berendt, B.: Web mining for understanding stories through graph visualisation. In: ICDM 2008: Proceedings of the 2008 Eighth IEEE International Conference on Data Mining, pp. 570–579. IEEE Computer Society, Washington, DC (2008)
Tang, J., Zhang, J., Yao, L., Li, J., Zhang, L., Su, Z.: Arnetminer: extraction and mining of academic social networks. In: KDD, pp. 990–998 (2008)
Yang, C.C., Shi, X.: Discovering event evolution graphs from newswires. In: WWW 2006: Proceedings of the 15th International Conference on World Wide Web, pp. 945–946. ACM, New York (2006)
Yang, C.C., Shi, X.-D., Wei, C.-P.: Tracing the Event Evolution of Terror Attacks from On-Line News. In: Mehrotra, S., Zeng, D.D., Chen, H., Thuraisingham, B., Wang, F.-Y. (eds.) ISI 2006. LNCS, vol. 3975, pp. 343–354. Springer, Heidelberg (2006)
Yang, C.C., Shi, X., Wei, C.-P.: Discovering event evolution graphs from news corpora. Trans. Sys. Man Cyber. Part A 39(4), 850–863 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cai, Y., Li, Q., Xie, H., Wang, T., Min, H. (2013). Event Relationship Analysis for Temporal Event Search. In: Meng, W., Feng, L., Bressan, S., Winiwarter, W., Song, W. (eds) Database Systems for Advanced Applications. DASFAA 2013. Lecture Notes in Computer Science, vol 7826. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37450-0_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-37450-0_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37449-4
Online ISBN: 978-3-642-37450-0
eBook Packages: Computer ScienceComputer Science (R0)