Traditional database systems can deal with perfect data. But lot of information is present in imperfect form due to vagueness or imprecision. [16] Fuzzy set theory has been applied to deal with imperfections of data and to enhance the accessibility of databases. When users work with usual software tools they have to change their many valued logical thinking (approximate reasoning) into the twov...

Algebra-based identification of tree patterns in XQuery p. 13 Approximate querying of XML fuzzy data p. 26 Relaxation paradigm in a flexible querying context p. 39 A functional model for data analysis p. 51 Materialization-based range and k-nearest neighbor query processing algorithms p. 65 Flexible querying using structural and event based multimodal video data model p. 75 Reverse nearest neig...

Recent research on fuzzy quantification for information retrieval has proposed the application of semi-fuzzy quantifiers for improving query languages. Fuzzy quantified sentences are useful as they allow additional restrictions to be imposed on the retrieval process unlike more popular retrieval approaches, which lack the facility to accurately express information needs. For instance, fuzzy qua...

-Structured Query Language (SQL) is a very powerful too, but it is unable to satisfy needs for data selection based on linguistic expressions and degree of truth. As we know that the information in real-world applications is often vague, imprecise and uncertain. Fuzzy logic breaks the rigid crisp logic boundaries and allows decision to be taken in a more realistic manner. In database context, s...

This paper is directed towards an infrastructure for handling both uncertainty and vagueness in the Rules, Logic, and Proof layers of the Semantic Web. More concretely, we present probabilistic fuzzy description logic programs, which combine fuzzy description logics, fuzzy logic programs (with stratified nonmonotonic negation), and probabilistic uncertainty in a uniform framework for the Semant...

Instant search is an emerging information-retrieval paradigm in which a system finds answers to a query instantly while a user types in keywords character-by-character.A fuzzy search is a process that locates Web pages that are likely to be relevant to a search argument even when the argument does not exactly correspond to the desired information. A fuzzy search is done by means of a fuzzy matc...

A number of studies have examined the problems of query expansion in monolingual IR, and query translation for cross-language IR. However, no link has been made between them. This paper first shows that query translation is a special case of query expansion. There is also another set of studies on inferential IR. Again, there is no relationship established with query translation or query expans...

Search engines are crucial for information gathering systems (IGS). New challenges face search concerning automatic learning from user requests. In this paper, a new hybrid intelligent system is proposed to enhance the process. Based on Multilayer Fuzzy Inference System (MFIS), first step implement scalable relay logical rules in order produce three classifications behavior, profiles, and query...

In classical Boolean logic, data is represented as being either entirely true or entirely false. In most real world phenomena however, it is rare that en entity will be absolutely true or absolutely false. When designing a system, Boolean logic lacks the tools necessary to deal with this kind of uncertainty. Using fuzzy logic we were able to develop a system that is able to deal with uncertaint...

Most of the relational database systems use SQL, which has strict syntax and semantics defined precisely to retrieve data. Sometimes, user may not be aware of SQL syntax and concepts and wants to use databases without any technical effort. In recent years, an increasing number of people have begun to realize the need for a technology to reach beyond the barriers of SQL. Some of papers have give...