Abstract
This paper describes an approach to the design of an information retrieval of providing an search of users. Textual analysis is a part of information treatment systems. Next generation of information systems will rely on collaborative agents for playing a fundamental action in actively searching and finding relevant information in complex systems. The explosive growth of Web sites and Usenet news demands effectives filtering solutions. The access to digital data through WEB servers is facilitated by search engines. A number of Internet search engines provide classified search directories. The aim of the present paper is to suggest a method of filtering based only on the address URL, titles, abstracts. The problem of information searching in texts is mainly a linguistic problem. The objective is to construct a system for access and filtering information with using the model of Noun Phrases (NP). The intensional predicate and NP are used from retrieval, navigations (discrete & continue) and filtering the solutions captured from the WEB.
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Larouk, O. (2001). Building a Digital Collection of Web-Pages: Access and Filtering Information with Textual Expansion. In: Matoušek, V., Mautner, P., Mouček, R., Taušer, K. (eds) Text, Speech and Dialogue. TSD 2001. Lecture Notes in Computer Science(), vol 2166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44805-5_21
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DOI: https://doi.org/10.1007/3-540-44805-5_21
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