Title :
Topic Detection and Tracking for News Web Pages
Author :
Mori, Masaki ; Miura, Takao ; Shioya, Isamu
Author_Institution :
Dept. of Electr. Eng., Hosei Univ., Tokyo
Abstract :
This paper proposes a new approach to observe, summarize and track events from a collection of news Web pages. Given a set of temporal Web pages, we obtain valid times-tamp from Web pages and detect events by means of clustering. Then we track events by using KeyGraph based on the clusters and abstract the clusters by using SuffixTree. We examine some experimental results and show the usefulness of our approach
Keywords :
Internet; data mining; information retrieval; Web mining; news Web page tracking; topic detection; Engineering management; Event detection; Informatics; Page description languages; Search engines; Uniform resource locators; Web mining; Web pages; TDT; Web Abstraction; Web Mining;
Conference_Titel :
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2747-7
DOI :
10.1109/WI.2006.171
