Research On Semantic Web Services Composition Employing Description Logic In Knowledge Routing

The Semantic Web provides affluent machine-readable semantic information for the web resources through Ontology. Based on these semantic metadata, the machine is able to achieve the automatic information access and therefore builds a kind of high-quality new service. At the same time, the birth of Semantic Web also brings new motivation for the Web Services development. The confluence of Web Services and Semantic Web gives birth to another new technology-Semantic Web Services. The Semantic Web markup language can be used to describe the semantics of Web and make them computer-interpretable entities so as to enable programs or Agents to locate, invoke and compose Web services automatically. Particularly, the services composition reflects one of the important initiatives of web: the future applications would consist of a series of Web Services.At the same time, with the development of the Semantic Web and Web Services, there is more and more abundant knowledge in the Semantic Web. Therefore, it also becomes much more critical and emergent to effectively and immediately acquire accurate knowledge and composite the existing web services to fulfill the user's requirements, meaning the so-called service on demand.Considering the above problems, based on the Natural Science Foundation of China: Research on Content & Context-aware Ontology Knowledge Routing, this thesis proposes a kind of users' requirements-driven Knowledge Routing mechanism through employing the P2P and DL (Description Logic), and especially focuses on the Semantic Web Services composition. The main points of this thesis are as follows:(i) It designs an Ontology-driven Knowledge Routing mechanism based on the combination of P2P with Ontology, the employment of the concepts subsumption principle in DL and the introduction of Dynamic Virtual Community;(ii) In this Knowledge Routing, through considering the user preference and extending the OWL-S model, it proposes an extended OWL-S model XOWL-S through adding the user preferences into the original OWL-S model;(iii) Combining the strong knowledge representation and reasoning capabilities of the DL with the modeling capability of the action state transformation of the AI planning and based on the extended model XOWL-S, it presents a Knowledge Routing-oriented Semantic Web services composition mechanism DLAIP (AI Planning based on Description Logic) and testifies its availability in DL;(iv) An Ontology Based E-learning Teaching Platform, called OBETP, is designed and developed. This platform is the initial work of Knowledge Routing system development and also provides the useful experiences for it.