Although most computer-based information search systems in current use employ a Boolean search strategy, there is by no means a clear consensus throughout the information retrieval research community that the conventional Boolean approach is best. The well-known drawbacks of the Boolean design include an inhospitable request formalism, frequent null output and output overload, and lack of provi...

Most of information retrieval systems depend on Boolean queries. The performance of an information retrieval system is usually measured in terms of two different criteria, precision and recall. This way, the optimization of any of its components is a clear example of a multiobjective problem. However, although evolutionary algorithms have been widely applied in the information retrieval area, i...

In this paper we present a comprehensive approach to automatic organization and hybrid navigation of text databases. An organizing stage first builds a particular lattice representation of the data, through text indexing followed by lattice clustering of the indexed texts. The lattice representation, then, supports the navigation stage of the system, a visual retrieval interface that combines t...

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 ...

By and large, three classic framework models have been used in the process of retrieving information: Boolean, Vector Space and Probabilistic. Boolean model is a light weight model which matches the query with precise semantics. Because of its boolean nature, results may be tides, missing partial matching, while on the contrary, vector space model, considering term-frequency, inverse document f...

During the last two years, exciting new approaches to information retrieval were introduced by a number of different research groups that use statistical language models for retrieval. This paper relates the retrieval algorithms suggested by these approaches to widely accepted retrieval algorithms developed within three traditional models of information retrieval: the Boolean model, the vector ...

Relevance feedback methods have been used in information retrieval to generate improved query formulations based on information contained in previously retrieved documents. The relevance feedback techniques have been applied to extended Boolean query formulations as well as to vector query formulations. In this paper, we propose an adaptive way to improve the retrieval performance in an extende...

This paper considers classical bibliographic databases based on the Boolean retrieval model (such as MEDLINE and PsycInfo). This model is challenged by modern search engines and information retrieval (IR) researchers, who often consider Boolean retrieval a less efficient approach. The paper examines this claim and argues for the continued value of Boolean systems, and suggests two further consi...