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. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Parapar, J., Casanova, J. M., & Barreiro, Á. (2007). NowOnWeb: News search and summarization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4739 LNCS, pp. 225–232). Springer Verlag. https://doi.org/10.1007/978-3-540-75867-9_29
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