Applied Research And Prototype Implementation On Domain Ontology Description And Inference Mechanism Under Semantic Web Environment

Semantic Web, reputed as blueprint of next generation World Wide Web development, is expected to introduce semantic description for Web resources, thus it could be understood by the machine. This tentative plan makes the research on Enhancing network intellectualization level by use of ontology quickly attract much attention and become the development frontier of the computer field.The paper presents research on Domain Ontology under Semantic Web environment, conceives the idea of associating the Semantic Web theory study with information construction, achieves initial target of providing users with research and test on intelligent serves in higher education information .Research of applying semantic Web theory into specific areas has important theoretical and practical value.The paper has mainly analyzed the semantic Web development background and the system structure; discussed the development of ontology description language based on the XML grammar; on the basis of researching in ontology description languages under semantic Web environment such as RDF(S) and OWL, we also discussed ontology construction methodology and ontology modeling disposal principle; analyzed description logic basis and reasoning principle; proposed overall design idea of the university information consulting system and realization plan of the graduate entrance examination consulting domain ontology model, and made systematical research and discussion on creating tests, confirming evaluation and design of semantic information extraction.The paper applies the semantic Web into higher education consulting field, it is really a useful attempt of technology innovation in educational information construction. It starts from overall design requirements of graduate entrance examination consulting information service system. In the process of initially realizing semantic description and model construction of domain ontology, it can provide the machinery understandable semantic intelligent information consulting with Theoretical basis and experimental model experience.The establishment of domain ontology and semantic information extraction design, while not perfect, but as a basic factor for the future evolution, it has initially built up model framework for the core ontology of the graduate entrance examination consulting domain; what's more, some instances has been able to provide main consulting data of a few universities for the graduate entrance examination inquiries.In the construction of the domain ontology prototype, we followed iterative strategy of simple, practical and constant evolution, explored feasibility of effectively reducing dependence on the domain ontology experts; provided experimental design and referent idea of technical localization for practice in further applied research on domain ontology under semantic web environment through experience of technical design on Chinese word segmentation and semantic entity information extraction.The paper has displayed semantic Web research and development trends in both domestic and foreign industries from various angles, through deep analysis and description of research results and application future of semantic Web. Research and analysis in core technical theory and application of semantic Web and ontology will provide the primary learners with more systematic knowledge description and learning base. It is conducive to promote the use of semantic Web technology in different areas.The practical significance of intelligent application of domain ontology technology under semantic Web circumstance into graduate entrance examination information advisory services is beyond the research itself for its novelty; although it is just a small reference model, it contains the basic principles and trends of semantic Web technology.The paper has studied and deepened theory and methods of domain ontology description, modeling and application under semantic Web circumstance, it has theoretical and practical significance in research of intelligent advisory services in different IT fields.