【作者】 刘伟；

【导师】 冯志勇；

【作者基本信息】 天津大学 ， 计算机应用， 2006， 硕士

【摘要】 近来,本体已经在万维网得到越来越多的应用为网页提供语义信息。本体这种分布式开发的特性导致大量的本体都存在着重叠的部分。考虑到这些本体的重用性,不可避免的涉及到本体整合问题。本体整合过程通常是人工处理,而其过程通常是单调的重复性工作。为此,我们设计一款能够半自动整合本体的系统OMQS(Ontology Merging and Querying System)。该系统将面向同一领域的不同本体整合成一个通用本体,为本体的使用提供统一的接口。它自动地处理整合过程中一些任务,同时指导用户并依照用户的选择执行整合操作。OMQS是基于普通的本体知识库,因此可以应用于各种途径。随着本体技术已经开始在各行各业得到了应用,自然,对本体知识库的搜索也成了一个关键的问题。由于追求高精度,传统的搜索引擎要求用户对已知和本体结构有非常明确的了解,这一般只有领域专家和本体开发者等才能做到。本文则通过扩展RDF三元组的谓语动词的语义,提供了一种普通用户也能使用的搜索方法,并且同样能返回精确的搜索结果。同时,作者将该思想应用于OMQS。更多还原

【Abstract】 Recently, ontologies have become increasingly common on the World Wide Web where they provide semantics for annotations in web pages. This distributed nature of ontology development has led to a large number of ontologies covering overlapping domains. In order for these ontologies to be reused, they first need to be merged to on another. The processes of ontology merging are usually handled manually and often constitute a large and tedious portion of the sharing process.So, we have developed and implemented an Ontology Merging and Querying System (OMQS) which provides a semi-automatic approach to ontology merging. The tool performs some tasks automatically and guides the user in performing other tasks for which his intervention is required. OMQS is based on a general knowledge model an therefore can be applied across various platforms.As the technology of ontology being applied in many industries, searching in the ontology knowledge base is becoming the key problem. Because of pursuing the high precision, the traditional searching engines require the sufficient comprehension of the structure of the domain ontology for users, but only the domain expert or the developer of the ontology can approach it. In this paper, by extend the predicate semantically in RDF triples, the author introduces a new searching technique that is suitable for normal users, and it can also return the precise results.更多还原