The World Wide Web is the richest source of information today available, but only a small set of these data are interesting for users. The overload of information can produce a waste of time rather than a real benefit. Moreover, information is spread all over the Web and its structure makes difficult to extract relevant data in automated ways. This paper presents News Miner (NM) a tool for news extraction, integration, and presentation. The discussion highlights information retrieval and integration issues based on users’ preferences. A case study presents news integration collecting data from three search engines.

News Miner: a Tool for Information Retrieval

Succi G;
2003

Abstract

The World Wide Web is the richest source of information today available, but only a small set of these data are interesting for users. The overload of information can produce a waste of time rather than a real benefit. Moreover, information is spread all over the Web and its structure makes difficult to extract relevant data in automated ways. This paper presents News Miner (NM) a tool for news extraction, integration, and presentation. The discussion highlights information retrieval and integration issues based on users’ preferences. A case study presents news integration collecting data from three search engines.
2003
7th International Conference on Intelligent Engineering Systems (INES 2003)
1
4
Silitti A; Scotto M; Succi G; Vernazza T
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/897987
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