Building a Digital Collection of Web-Pages: Access and Filtering Information with Textual Expansion

  • Omar Larouk
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2166)


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.


Information Retrieval Noun Phrase Strategic Information Navigation Path Internet Search Engine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Omar Larouk
    • 1
  1. 1.École Nationale Supérieure des Sciences de l’Information et des BibliothèquesLyon-Villeurbanne CedexFrance

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