A FRAMEWORK FOR KNOWLEDGE REPRESENTATION OF INFORMATION SYSTEM

Abstract

Now a day’s data can be searched and represented by combining data from multiple sources. The important problem is how to represent information from multiple sources in dispersed databases, supportive information systems, and data warehousing. Two important issues related to the design and maintenance of application are conceptual modeling of the domain, and logic support over the conceptual representation. information demonstration and reasoning techniques play an important role for both of these two factors. The development of successful information combination solutions requires not only alternative to expressive description logics, but also to significantly extend them. A different approach for information combination is presented, which allows for suitably modeling the global concepts of the purpose, the individual information sources, and the constraints among different sources.
The inference procedures are also developed for the fundamental reasoning i.e., relation and concept representation, and query containment. Finally, we present a procedural framework for information combination, which can be applied in several situations, and highlights the role of reasoning services within the design process.