In this paper we investigate document ranking methods in thesaurus-based boolean retrieval systems, and propose a new thesaurus-based ranking algorithm called the Extended Relevance (E-Relevance) algorithm. The E-Relevance algorithm integrates the extended boolean model and the thesaurus-based relevance algorithm. Since the E-Relevance algorithm has all the desirable properties of the extended ...

Thesaurus is one of the most important components for information retrieval (IR) systems. A thesaurus provides a precise and controlled vocabulary that serves to coordinate document indexing and retrieval then it improves the retrieval effectiveness. However the major problem with the manual thesaurus is a laborintensive task and therefore also expensive to build and hard to update in timely ma...

This paper presents a method for automatically generating an association thesaurus from a text corpus, and demonstrates its application to information retrieval. The thesaurus generation method .consists of extracting tenns and co-occurrence data from a corpus and analyzing the correlation between terms statistically. A new method for disambiguating the structure of compound nouns, which is a k...

This work aims to analyze the intertextemes sources of Ukrainian segment Internet. The article examines approaches concepts citation thesaurus and intertextual thesaurus. functioning biblical folklore origin, units that go back artistic texts different periods, journalism, advertising, spoken discourse in Internet is studied. During formation factual base research, method entire selection from ...

A well constructed thesaurus is recognized as a valuable source of semantic information for various applications, especially for Information Retrieval. The main hindrances to using thesaurus-oriented approaches are the high complexity and cost of manual thesauri creation. This paper addresses the problem of automatic thesaurus construction, namely we study the quality of automatically extracted...