Information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. The document processor, matching function and query analyzer are the main components of an information retrieval system. Document retrieval system is fundamentally based on: Boolean, vector-space, probabilistic, and language models. In this paper, a new methodology for mat...

Information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. The document processor, matching function and query analyzer are the main components of an information retrieval system. Document retrieval system is fundamentally based on: Boolean, vector-space, probabilistic, and language models. In this paper, a new methodology for mat...

information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. the document processor, matching function and query analyzer are the main components of an information retrieval system. document retrieval system is fundamentally based on: boolean, vector-space, probabilistic, and language models. in this paper, a new methodology for mat...

This paper proposes to use two information retrieval system models (Boolean information retrieval model and extended Boolean (fuzzy) information retrieval model). These models differ by using Boolean queries or fuzzy weighted queries. It also proposes a way for optimizing user query for the two models by using genetic programming and fuzzy logic. And proposes to use more number of Boolean opera...

In this paper, we document our official submissions to the TREC 2007 Legal track. Our main aims were two-fold: First, we experimented with using different query formulations trying to exploit the verbose topic statements. Second, we analysed how ranked retrieval methods can be fruitfully combined with traditional Boolean queries. Our main findings can be summarized as follows. First, we got mix...

This study investigated the use of Genetic algorithms in Information retrieval in the area of optimizing a Boolean query. A query with Boolean logical operators was used in information retrieval. For Genetic algorithms, encoding chromosomes was done from Boolean query; where it was represented in the form of tree prefix with indexing for all terms and all Boolean logical operators. Information ...

In this paper we describe an approach, implemented in a system named REFINER, to combining Boolean information retrieval and content-based navigation with concept lattices. When REFINER is presented with a Boolean query, it builds and displays a portion of the concept lattice associated with the documents being searched centered around the user query. The cluster network displayed by REFINER sh...

Evidence-based medicine seeks to base clinical decisions on the best currently available scientific evidence and is becoming accepted practice. A key role is played by systematic reviews, which synthesize the biomedical literature and rely on different information retrieval methods to identify a comprehensive set of relevant studies. With Boolean retrieval, the primary retrieval method in this ...

Usage of genetic algorithms in the Information retrieval area, especially in optimizing a Boolean query, is presented in this paper. The proposed evolution of Boolean queries should increase the performance of the information retrieval system by means of the precision and recall. Influence of both criteria is thorougly tested for different genetic algorithm settings. The quality improvement ach...