Using structured self-organizing maps in news integration websites

College

College of Computer Studies

Department/Unit

Information Technology

Document Type

Article

Publication Date

2007

Abstract

The Bveritas system integrates and organizes news articles from English news websites based in Singapore, Malaysia, Philippines, and Thailand, plus news stories from CNN and Reuters International. The main features of the system are the following: 1) automatic clustering of news documents into themes; 2) ordering of these news clusters in a theme map; 3) extraction of meaningful labels for each cluster of news articles; 4) use of extracted labels and title words to retrieve ranked news article lists based on query words; 5) summarization of news articles; and 6) automatic generation of links to related news articles. The novel features of the system result directly from the use of a structured self-organizing map as the underlying logical structure for the news archive.

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Disciplines

Computer Sciences

Note

Undated; Publication/creation date supplied

Keywords

Self-organizing maps; News Web sites; Data integration (Computer science)

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