Fusion of Semantic Web technology with the fuzzy inference engine: Web services and enterprise applications

A paradigm of Semantic Web provides a new way to represent information on the web. This new approach is based on application of ontology and ontology languages. At the same time web services are the standard approach of accessing interactive application through the web. The idea of this thesis is to build an intelligent web service in the Semantic Web environment using a concept of fuzziness. To do this, fuzzy ontologies are defined to reflect the "human-like" vague statements and facts. These ontologies together with service-related information are used to reason about "goodness" of services. Approximate reasoning is used in this process. A number of different tools are used to implement the proposed approach: Protege is used to build the ontologies, FuzzyJ to build the reasoner, and DAMLJessKB and Jena to parse the ontologies.; In the thesis, the proposed idea is illustrated by creating a fuzzy hotel reservation service. End user can submit the request to the hotel reservation service; the hotel reservation service will then response to the end user by returning hotels that are the best fit to his/her preferences.; The concept of fuzzy-based Semantic Web Services can be also used in the enterprise application. This thesis presents the vision on how to integrate those applications using innovated model-driven approach, called Collaborative Ontology Enterprise Planning (COEP). The ultimate goal of this solution is to achieve seamless integration of enterprise front-end and back-end systems over the web.