Statistical model in retrieval has been shown to perform well empirically. Extended Boolean model has been widely used in business system for its easiness to be complemented and not bad results. In this paper, a statistical model and modified Boolean model and natural language processing techniques, shallow query understanding techniques are used and results show that even with very limited tra...

The BSS, which has been used in all City's TREC experiments, is a set-oriented ranked output system designed primarily for probabilistic{type retrieval of textual material using inverted indexes. There is a family of built-in weighting functions as described in [1, Section 3]. In addition to weighting and ranking facilities it has the usual boolean and quasi-boolean (positional) operations. The...

The Use of genetic algorithms in the Information retrieval (IR) area, especially in optimizing a user query in Arabic data collections is presented in this paper. Very little research has been carried out on Arabic text collections. Boolean model have been used in this research. To optimize the query using GA we used different fitness functions, different mutation strategies to find which is th...

The existence of machine readable text makes possible the development of new techniques that assist the literary scholar in locating interesting passages of text. In this paper we explore in a preliminary manner the possibility of adapting techniques developed in the field of document retrieval to the full text context. As an alternative to the conventional Boolean logic based approaches, we co...

To address the emerging needs of applications that require access to and retrieval of multimedia objects, we are developing the Multimedia Analysis and Retrieval System (MARS) [29]. In this paper, we concentrate on the retrieval sulbsystem of MARS and its support for content-based queries over image databases. Content-based retrieval techniques have been extensively studied for textual document...

Relevance feedback techniques have demonstrated to be a powerful means to improve the results obtained when a user submits a query to an information retrieval system as the world wide web search engines. These kinds of techniques modify the user original query taking into account the relevance judgements provided by him on the retrieved documents, making it more similar to those he judged as re...

Information retrieval on XML combines retrieval on content data (element and attribute values) with retrieval on structural data (element and attribute names). Standard query languages for XML such as XPath or XQuery support Boolean retrieval: a query result is a (possibly restructured) subset of XML elements or entire documents that satisfy the search conditions of the query. Such search condi...

A model of a collection of documents based on partial Boolean algebras is presented. This model has been considered while analysing a problem of integration of thesauri. Some properties of partial Boolean algebras are exploited in defining theoretical tools for information retrieval associated to this model. Such tools are a logical language representing queries to the system and a browsing mec...

This paper presents a framework for the theoretical comparison of information retrieval models based on how the models decide aboutness. The framework is based on concepts emerging from the eld of situation theory. So called infons and profons represent elementary information carriers which can be manipulated by union and fusion operators. These operators allow relationships between information...

Introduction to Information Retrieval by Manning, Raghavan, and Schütze is an up-to-date, thorough, and systematic introduction to information retrieval (IR) from a computer science perspective. Written as a textbook, its main audience is graduate and senior undergraduate students taking IR courses. The book will also be valuable to researchers in other computer science fields, such as computat...