Information retrieval is the important work for Electronic Commerce. Ontology-based semantic retrieval is a hotspot of current research. In order to achieve fuzzy semantic retrieval, this paper applies a fuzzy ontology framework to information retrieval system in E-Commerce. The framework includes three parts: concepts, properties of concepts and values of properties, in which property’s value ...

the present article begins with an articulation of the significance and relation of ‘query and response’ with both dialogue and its semantic perimeters and discloses the sources of rumi’s thinking about this issue. after this taking a comparative stance, this article briefly explores the background and the significance of query and response, dialogue and dialectic as they relate to both ontolog...

Embedding Information technology with Transportation system creates a new era in building Intelligent Transportation System (ITS). An effective Intelligent Transportation System reduces traffic congestion, environmental pollution, fuel consumption and driver in-convenience etc. The widespread adoption of GPS-enabled mobile devices has opened new possibilities of developing an ITS. With advancem...

The generalization of Boolean lnformatlon Retrieval Systems (IRS) is still an open research field; in fact, though such systems are diffused on the market, they present some limitations; one of the main features lacking in these systems is the ability to deal with the “imprecision” and “subjectivity” characterizing retrieval activity. However, the replacement of such systems would be much more ...

Usable implementations of fuzzy relational database systems are very rare considering the long time of research on the subject. The existing solutions are usually either obsolete or related to a specific application. The research group that authors belong to aims at producing a general system capable of using priority fuzzy logic with databases. The system consists of a fuzzy extension of a rel...

Discovery of Full functional dependencies from relations has been identified as an important database analysis technique. In order to deal with information inexactness, fuzzy techniques have extensively been integrated with different database models and theories. However, the information is often vague or ambiguous and very difficult to represent in implementing the application software. This p...

Recently, a theoretical fuzzy IR system, based on gradual inclusion measures, has been proposed [1]. In this model, derived from the division of fuzzy relations, the gradual inclusion of a query in a document is modeled by a fuzzy implication. In previous papers, we have shown that, under some assumptions, this model can be seen as a Vector Space Model. This paper also studies other interpretat...

Given a large spatio-temporal data of events, where each event consists of the following fields. Event-Id, time, location, event type. A wide range of database applications manage time-varying data. In contrast, existing database technology provides little support for managing such data. The research area of temporal databases aims to change this state of affairs by characterizing the semantics...

L.A Zadeh introduced fuzzy set theory in 1965. Many researchers took interest in the theory and evolved many generalizations of the concept. One of them was the Intuitionistic fuzzy set introduced by K.T.Atanassov in 1986. Since its inception, the literature on IFS Theory and its application has been rapidly amounting by now to several thousands of papers. In this paper, IF approach is being ap...

Ontologies play a central role in semantic applications: by providing semantics to the given data, they support the integration and automated processing of knowledge. Systems for ontology-based data access do however not take into account both the fuzzy and the temporal nature of the knowledge, which is often inherent in realworld data. In this paper, we propose an approach for temporal query a...