Research On Domain Ontology Representation, Reasoning And Integration For The Semantic Web And The Applications

The web consists of numerous pages encoded in HTML; its contents are readable and understandable for human, but not understandable for computer. So it's hard for computer to process the web contents automatically and meaningfully. But the web is enormous and still growing continuously, which makes it urgent for the web contents to be computer understandable so that computer can process the web contents automatically and meaningfully. To solve these problems, Tim Berners-Lee put forward the Semantic Web, which is an extension of the current web. The Semantic Web is not just a platform for presenting information, but it can be understood and used to reason by computer.One foundation of the Semantic Web is ontology; the construction of ontology relies on the representation, reasoning and integration of domain ontology. Focusing on domain ontology representation, reasoning and integration for the Semantic Web and the applications, this paper makes following contributions:1. Investigate the familiar ontology languages for the Semantic Web and the formal foundations of those ontology languages; distinguish the definitions of ontology and domain ontology, and give the relation between them.Introduce the familiar ontology languages for the Semantic Web and the elementary knowledge about description logic. Particularly, we analyze and investigate two ontology languages for the Semantic Web proposed by W3C: OWL DL and OWL Lite. Every element of those two ontology languages is analyzed, and the formal foundations of those two ontology languages are introduced. Domain ontology is explicit specification of domain conceptualization; usually, we use ontology language to write down this specification. ontology is explicit specification of conceptualization, and in theory, there is only one ontology about the world, but we can't construct ontology for the world at one stroke, we can only build domain ontologies from one domain to another, then integrate them to obtain one virtual ontology about the whole world.2. Propose DORRSW approach (domain ontology representation and reasoning for the Semantic Web) and MDOISW approach (multiple domain ontology integration for the Semantic Web).Introduce the principle of constructing ontology and the generic steps of constructing domain ontology, analyze the related concepts about domain ontology integration, and introduce the related works of domain ontology integration for the Semantic Web. Based on this preliminary knowledge, combined with the characteristics and needs of the Semantic Web, we choose OWL Lite, which can characterize semantics precisely and be supported by high performance inference systems, as ontology language used in domain ontology representation, reasoning for the Semantic Web and multiple domain ontology integration for the Semantic Web. Then we propose DORRSW approach and MDOISW approach, so the foundation of constructing ontology for the Semantic Web is established.3. Give a more comprehensive definition of information retrieval model; analyze the information retrieval performance under ideal logical view constructing function; propose ontology based information retrieval model for the Semantic Web.Introduce the definition of information retrieval model defined by R Baeza-Yates et al, expand and improve that definition, so obtain a more comprehensive definition of information retrieval model. Through analyzing the information retrieval performance under ideal logical view constructing function, we know that choosing a good logical view constructing function in terms of the characteristics of document and user information need is the key to improve information retrieval performance. On the Semantic Web, for reflecting the semantics of document and user information need effectively, that is, the logical view of document and the logical view of user information need produced by logical view constructing function can represent document and user information need well, ontology is introduced as foundation for representing semantics. We propose ontology based information retrieval model for the Semantic Web, and prove its practicability in theory.4. Propose to use battlespace ontology as knowledge infrastructure for network centric warfare; propose battlespace ontology construction approach.In NCW, the sensor network's capability is much stronger than ever, the force can get a mass of information about battlespace in real or near-real time. Because the amount of information is enormous, the decision makers can't process this information effectively and quickly so that they can't make right decisions in time. To solve this problem, we need to build knowledge infrastructure in cognitive domain. In NCW, suitable knowledge infrastructure is the premise for transforming information superiority to knowledge superiority. At present, researches concentrate on information infrastructure, information superiority and proving information superiority's huge effectiveness to NCW. The research works about building knowledge infrastructure and capturing knowledge superiority are few. We propose to use battlespace ontology as knowledge infrastructure for NCW. For NCW and the Semantic Web are both distributed environments in large scale, so ontology languages for the Semantic Web can be used to construct battlespace ontology for NCW; and based on DORRSW approach and MDOISW approach, battlespace ontology construction approach is proposed.