NowOnWeb: news search and summarization

Authors:
Javier Parapar;José M. Casanova;Álvaro Barreiro
Affiliations:
IRLab, Department of Computer Science , University of A Coruña, A Coruña, Spain;IRLab, Department of Computer Science , University of A Coruña, A Coruña, Spain;IRLab, Department of Computer Science , University of A Coruña, A Coruña, Spain
Venue:
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Year:
2007

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Abstract

Agile access to the huge amount of information published by the thousands of news sites available on-line leads to the application of Information Retrieval techniques to this problem. The aim of this paper is to present NowOnWeb, a news retrieval system that obtains the articles from different on-line sources providing news searching and browsing. The main points solved during the development of NowOnWeb were: article recognition and extraction, redundancy detection and text summarization. For these points we provided effective solutions that put all them together had risen to a system that satisfies, in a reasonable way, the daily information needs of the user.