【作者】 芦明；

【导师】 李冠宇；

【作者基本信息】 大连海事大学 ， 计算机软件与理论， 2008， 硕士

【摘要】 语义网(Semantic Web)是在本体(Ontology)理论基础之上对现有Web所进行的扩展,其目标是使Web上的信息具有计算机可以理解的语义,在本体的支持下实现信息系统问语义上的互操作,以及对Web资源所进行的智能访问和检索。语义网服务是以语义网和本体为基础的一个重要的基础研究领域,其目标是通过将语义网技术和Web服务技术相结合,提供下一代网络的集成技术。因此,本体在语义网服务中起了重要的作用。语义网服务中大量的本体是由不同组织各自独立开发的,其结构和概念的表达形式存在着一定的差异,造成了本体的异构性。本体映射,也称本体匹配。通过本体映射,可以在多个本体之间找到语义相同或相似的对应元素,从而在多个本体之间建立语义联系,消除不同本体或本体不同版本之间知识表达时的不一致现象,进而达到真正意义上的知识共享。因此,本体映射是解决不同本体间的知识共享和重用问题的有效方法。目前本体映射大多是由人工手动来完成的,不仅过程烦杂,而且很容易出错。这极大地影响了本体映射自动化程度和准确性。本论文针对上述问题,综合考虑了语义网服务中本体的各种异构现象,在对比分析了本体映射各种方法的基础上,重点研究了基于机器学习技术的本体映射机制,提出了一种适用于语义网服务环境的本体映射方法及系统框架,该方法利用机器学习技术来提高本体映射的自动化程度,利用综合评判技术修正映射结果,提高本体映射的准确率,从而有效地解决语义网服务中的本体异构问题。更多还原

【Abstract】 The Semantic Web is the expansion of existing Web, its goal is to enable the information on the Web have semantics which computer can understand, to achieve semantic interoperability in information systems. Semantic Web Services is an important basic research field based on Semantic Web and the ontology theory, its goal is to integrate Semantic Web and Web Services technology to next-generation network. Therefore, ontology plays an important role in Semantic Web Services.A large number of ontologies in Semantic Web Services is developed by different organizations independently, there is a certain degree of difference in their structure and expression of concepts, it caused the heterogeneity of ontologies. Ontology mapping, also known as ontology matching. By ontology mapping, the same or similar elements can be found in a number of ontologies, thus the semantics contact among a number of ontologies can be established and inconsistency of knowledge expression in different ontologies can be eliminated. Therefore, ontology mapping is an effective method of solving the problem of knowledge sharing and ontology heterogeneity.At present, most of the ontology mappings are carried out artificially, the process is not only complex, but also prone to error. To address the above problem, this paper considered th e heterogeneous phenomenon of ontology in Semantic Web Services, compared and analyzed various methods of ontology mapping, studied ontology mapping mechanism based on machine learning technology, proposed efficient ontology mapping method and system framework for the ontologies in Semantic Web Services. The method adopts machine learning techniques to enhance the degree of automation ontology mapping, uses comprehensive evaluation technology to amend the results of ontology mapping, with the result of improving the accuracy of ontology mapping. So as to eliminate the ontology heterogeneity in the Semantic Web Service effectively.更多还原