When it comes to dealing with real world examples, abstract ‘information manipulation systems’ need to be enhanced with concrete theories. This is the case for logical calculi, where for example theory resolution has been introduced, or for Description Logics which are augmented with concrete domains. A similar problem comes up in query languages, in particular in XML-query languages. If for ex...

The database model presented in this paper is suitable for application in which queries may require non-crisp references to certain attributes. The data item (attribute) values may be crisp or fuzzy. For instance, such adjectives as 'high' or 'normal' may be attribute values for the attribute blood pressure. A disease or a condition can be described by a number of symptoms which may be crisp al...

Search engine helps user to locate information from large storage media of content. So I propose search engine to reduce the work load of server. User search query in web its collect all web pages from server i.e. linking open data. All open data are copied temporarily in local system because of that user does not depends on server to view next web page so it reduce the work load of server. Loc...

Fuzzy Description Logics (DLs) generalize crisp ones by providing membership degree semantics for concepts and roles. A popular technique for reasoning in fuzzy DL ontologies is by providing a reduction to crisp DLs and then employ reasoning in the crisp DL. In this paper we adopt this approach to solve conjunctive query (CQ) answering problems for fuzzy DLs. We give reductions for Gödel, and Ł...

This chapter presents a discussion on fuzzy querying. It deals with the whole process of fuzzy querying, from the query formulation to its evaluation. Mainly, it advocates the use of index structures in the evaluation of fuzzy queries. First, various ways of introducing flexibility in querying processes are discussed, especially the most represented in the literature, which are based on ranking...

2 Fuzzy Database with FSQL FSQL language is an extension of the SQL language which permits us to write flexible (or fuzzy) conditions in our queries to a fuzzy or traditional database. In this work we present some new fuzzy data types based on time concepts. We extend the existing temporal data types in SQL2 and we give a brief overview of basic definitions in fuzzy temporal databases. In parti...

One of the challenges in information retrieval is providing accurate answers to a user’s question often expressed as uncertainty words. Most answers are based on a Syntactic approach rather than a Semantic analysis of the query. In this paper our objective is to present a hybrid approach for a Semantic question answering retrieval system using Ontology Similarity and Fuzzy logic. We use a Fuzzy...