Logo image
Back
Discovering event evolution graphs from newswires
Conference proceeding   Open access

Discovering event evolution graphs from newswires

Christopher C. Yang and Xiaodong Shi
Proceedings of the 15th international conference on World Wide Web, pp 945-946
23 May 2006
DOI: https://doi.org/10.1145/1135777.1135957
url
http://cci.drexel.edu/faculty/cyang/papers/yang2006h.pdfView
SubmittedOpen Access (License Unspecified),  Open

Abstract

Information systems -- Information retrieval -- Retrieval models and ranking Information systems -- Information retrieval -- Retrieval tasks and goals -- Clustering and classification Information systems -- Information retrieval -- Retrieval tasks and goals -- Document filtering Information systems -- Information retrieval -- Retrieval tasks and goals -- Information extraction Information systems -- Information systems applications -- Data mining -- Clustering
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.

Metrics

9 Record Views
26 citations in Scopus

Details

Logo image