Article

Discovering event evolution graphs from newswires

Authors:

Christopher C. Yang,

Xiaodong ShiAuthors Info & Claims

WWW '06: Proceedings of the 15th international conference on World Wide Web

Pages 945 - 946

https://doi.org/10.1145/1135777.1135957

Published: 23 May 2006 Publication History

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Abstract

In this paper, we propose an approach to automatically mine event evolution graphs from newswires on the Web. Event evolution graph is a directed graph in which the vertices and edges denote news events and the evolutions between events respectively, in a news affair. Our model utilizes the content similarity between events and incorporates temporal proximity and document distributional proximity as decaying functions. Our approach is effective in presenting the inside developments of news affairs along the timeline, which can facilitate users' information browsing tasks.

References

[1]

Juha Makkonen. Investigations on event evolution in TDT. In Proceedings of HLT-NAACL 2003 Student Workshop, pages 43--48, 2004.

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[2]

Ramesh Nallapati, Ao Feng, Fuchun Peng, James Allan. Event threading within news topics. In Proceedings of the 2004 Thirteenth ACM conference on Information and knowledge management (CIKM). pages 446--453, 2004.

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Xu ZLiu YYen NMei LLuo XWei XHu C(2020)Crowdsourcing Based Description of Urban Emergency Events Using Social Media Big DataIEEE Transactions on Cloud Computing10.1109/TCC.2016.25176388:2(387-397)Online publication date: 1-Apr-2020
https://doi.org/10.1109/TCC.2016.2517638
Xu ZMei LLv ZHu CLuo XZhang HLiu Y(2019)Multi-Modal Description of Public Safety Events Using Surveillance and Social MediaIEEE Transactions on Big Data10.1109/TBDATA.2017.26569185:4(529-539)Online publication date: 1-Dec-2019
https://doi.org/10.1109/TBDATA.2017.2656918
Wang HZHU HBAI Y(2019)Construction of Causality Event Evolutionary Graph of Aviation Accident2019 5th International Conference on Transportation Information and Safety (ICTIS)10.1109/ICTIS.2019.8883740(692-697)Online publication date: Jul-2019
https://doi.org/10.1109/ICTIS.2019.8883740
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Index Terms

Discovering event evolution graphs from newswires
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking
    2. Retrieval tasks and goals
  2. Information systems applications
    1. Data mining
      1. Clustering

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Published In

WWW '06: Proceedings of the 15th international conference on World Wide Web

May 2006

1102 pages

ISBN:1595933239

DOI:10.1145/1135777

General Chairs:
Leslie Carr
University of Southampton
,
David De Roure
University of Southampton
,
Arun Iyengar
IBM Research
,
Program Chairs:
Carole Goble
University of Manchester, UK
,
Mike Dahlin
University of Texas at Austin

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 May 2006

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WWW06

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WWW06: The 15th International World Wide Web Conference 2006

May 23 - 26, 2006

Edinburgh, Scotland

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Xu ZLiu YYen NMei LLuo XWei XHu C(2020)Crowdsourcing Based Description of Urban Emergency Events Using Social Media Big DataIEEE Transactions on Cloud Computing10.1109/TCC.2016.25176388:2(387-397)Online publication date: 1-Apr-2020
https://doi.org/10.1109/TCC.2016.2517638
Xu ZMei LLv ZHu CLuo XZhang HLiu Y(2019)Multi-Modal Description of Public Safety Events Using Surveillance and Social MediaIEEE Transactions on Big Data10.1109/TBDATA.2017.26569185:4(529-539)Online publication date: 1-Dec-2019
https://doi.org/10.1109/TBDATA.2017.2656918
Wang HZHU HBAI Y(2019)Construction of Causality Event Evolutionary Graph of Aviation Accident2019 5th International Conference on Transportation Information and Safety (ICTIS)10.1109/ICTIS.2019.8883740(692-697)Online publication date: Jul-2019
https://doi.org/10.1109/ICTIS.2019.8883740
Xu ZLuo XLiu YChoo KSugumaran VYen NMei LHu C(2018)From Latency, Through Outbreak, to Decline: Detecting Different States of Emergency Events Using Web ResourcesIEEE Transactions on Big Data10.1109/TBDATA.2016.25999354:2(245-257)Online publication date: 1-Jun-2018
https://doi.org/10.1109/TBDATA.2016.2599935
Jia YDeng LZhou BFang BHan WLi ALiu QQuan Y(2018)Topic Analysis Model for Online Social Network2018 IEEE Third International Conference on Data Science in Cyberspace (DSC)10.1109/DSC.2018.00015(39-44)Online publication date: Jul-2018
https://doi.org/10.1109/DSC.2018.00015
(2017)Crowdsourcing-based timeline description of urban emergency events using social mediaInternational Journal of Ad Hoc and Ubiquitous Computing10.5555/3079766.307977025:1-2(41-51)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.5555/3079766.3079770
Zhou PWu BCao Z(2017)EMMBTT: A Novel Event Evolution Model Based on TFxIEF and TDC in Tracking News Streams2017 IEEE Second International Conference on Data Science in Cyberspace (DSC)10.1109/DSC.2017.53(102-107)Online publication date: Jul-2017
https://doi.org/10.1109/DSC.2017.53
Xu ZLiu YXuan JChen HMei L(2017)Crowdsourcing based social media data analysis of urban emergency eventsMultimedia Tools and Applications10.1007/s11042-015-2731-176:9(11567-11584)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1007/s11042-015-2731-1
Xu ZLiu YMei LZhang HHu C(2015)Crowd sensing based burst computing of events using social mediaInternational Journal of Distributed Sensor Networks10.1155/2015/1847512015(31-31)Online publication date: 1-Jan-2015
https://dl.acm.org/doi/10.1155/2015/184751
Fan WBouguila N(2015)Topic Novelty Detection Using Infinite Variational Inverted Dirichlet Mixture Models2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA)10.1109/ICMLA.2015.70(70-75)Online publication date: Dec-2015
https://doi.org/10.1109/ICMLA.2015.70
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