Paper Title :Database Integration Via Framework Based On Owl

Author :Devipriya Raju

Article Citation :Devipriya Raju , (2014 ) " Database Integration Via Framework Based On Owl " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 26-30, Volume-2,Issue-7

Abstract : A key goal of the Semantic Web is to shift social interaction patterns from a producer-centric paradigm to a consumer- centric one. Treating customers as the most valuable assets and making the business models work better for them are at the core of building successful consumer-centric business models. It follows that customizing business processes constitutes a major concern in the realm of a knowledge-pull-based human semantic Web. This paper conceptualizes the customization of service-based business processes leveraging the existing knowledge of Web services and business processes. We represent this conceptualization as a new Extensible Markup Language (XML) markup language Web Ontology Language-Business Process Customization (OWL-BPC), based on the de facto semantic markup language for Web-based information [Web Ontology Language (OWL)]. Furthermore, we report a framework, built on OWL-BPC, for customizing service- based business processes, which support customization detection and enactment. Customization detection is enabled by a business- goal analysis, and customization enactment is enabled via event – condition–action rule inference. Our solution and framework have the following capabilities in dealing with in-consistencies and misalignments in business process interactions:1)resolve semantic mismatch of process parameters; 2)handle behavioral mismatches which may or may not be compatible; and 3)process misaligned rendezvous requirements. Such capabilities are applicable to business processes with heterogeneous domain ontology; and 4) to integrate databases into the Semantic Web, we use Semantic Web ontologies to incorporate database schemas. An expressive first order ontology language, Web-PDDL, is used to define the structure, semantics, and mappings of data re- sources. A powerful inference engine, OntoEngine can be used for query answering and data.

Type : Research paper

Published : Volume-2,Issue-7

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