Information retrieval (IR) focuses on the process of determining and assessing the adequacy between a user-query and a collection of documents, yielding a subset of relevant documents. In this respect, query expansion aims to reduce an eventual query/document mismatch by expanding the query using ”correlated” terms. In this paper, we present an approach based on the use of association rules to ...

This paper presents a flexible querying system of fuzzy RDF annotations which consists in translating fuzzy RDF annotations into fuzzy conceptual graphs and using an “approximate”-projection operation in order to compare fuzzy query graphs with fuzzy annotation graphs. The fuzzy sets in the query graphs having a semantic of preferences are compared with the fuzzy sets in the annotation graphs h...

Users are often interested in answers to vaguely defined questions that. are nat,ural for human but. inconvenient for the machine. The traditional query languages manage binary queries only. In t,his paper we suggest how to construct fuzzy queries t,hat apply to random data. We reach our goal by combining fuzzy query wit,h a suitable stat.ist.ica1 test. for fuzzy hypotheses.

We report here the results of fuzzy term proximity method applied to Terabyte Task. Fuzzy proxmity main feature is based on the idea that the closer the query terms are in a document, the more relevant this document is. With this principle, we have a high precision method so we complete by these obtained with Zettair search engine default method (dirichlet). Our model is able to deal with Boole...

Web search engines used in smartphones need to be refined to capture the user’s perception and user’s search intentions. However, to design such a search engine is not trivial. Fuzzy query may be considered to obtain the user’s perception and user’s search intentions in voice Web search on smartphones. Handling fuzzy query in voice Web search on smartphones is one of the most difficult problems...

Fuzzy Description Logics (fuzzy DLs) allow to describe structured knowledge with vague concepts. Unlike classical DLs, in fuzzy DLs an answer is a set of tuples ranked according to the degree they satisfy the query. In this paper, we consider fuzzy DL-Lite. We show how to compute efficiently the top-k answers of a complex query (i.e. conjunctive queries) over a huge set of instances.

The paper presents a fuzzy database management system, and a fuzzy method for dominant colour description of images, on which an image retrieval system is built. The paper shows the suitability of the fuzzy database management system for this kind of applications when the images are characterized by fuzzy data. The synergy of these two introduced components, improves traditional image retrieval...

In this paper, we present a new method for fuzzy information retrieval based on multi-relationship fuzzy concept networks. There are four kinds of fuzzy relationships in a multi-relationship fuzzy concept network, i.e., “fuzzy positive association” relationship, “fuzzy negative association” relationship, “fuzzy generalization” relationship and “fuzzy specialization” relationship. By performing ...

This paper proposes a query expansion method using fuzzy abductive inference. This query expansion method for information retrieval is useful, because unexpected related information are probably be obtained by adding new words to the query. The fuzzy abductive inference is the inference method based on Peng and Reggia's abductive inference. This method infers irredundant combinations of concept...