Design of Document Profile Database for Browsing in Information Retrieval Systems
Information retrieval is one of the most important technologies at present. The authors can always get information in the Internet or distributed computing systems using various information retrieval models. For searching proper information that they need, it is necessary to construct efficient information retrieval agent systems helping many web clients' requests. In this paper, they propose a simple new model for information retrieval agents based on many terms or keywords distribution in a document or distributed database. For the key paragraph extraction they use meaningful term's frequency and the key word distribution characteristics in a document, and those terms are selected by using stemming, filtering stop-lists, synonym for search meaningful terms in a document.