摘要: 当前将本体引入到语义虚拟环境的研究,只是将领域本体的可视化信息用本体表示,并未发挥本体本身具 有的优势。为此,提出一种基于本体的语义虚拟环境查询与推理模型。利用OWL 语言统一描述虚拟场景图形内 容与语义信息,并分别对两者进行查询,在图形内容查询过程中引入本体的推理方法推理出隐含的图形内容信息, 然后查询需要的信息。在语义信息查询时引入语义搜索方法,利用基于语义距离计算本体概念相似度的方法计算 语义虚拟环境本体中类之间的相似度,搜索与被查询实例语义相似度最大的实例,并借助推理找出其间的关系。 对语义虚拟家具商店进行本体的查询与推理,结果证明了该模型的可行性。
关键词:
X3D 标准,
语义虚拟环境,
本体,
OWL 语言,
查询,
推理,
语义相似度
Abstract: The research on introducing ontology into semantic virtual environment at present,only uses ontology to
visualize the specific domain ontology,and does not display ontology’s advantage. Aiming at this problem,this paper proposes a semantic virtual environment querying and reasoning model based on ontology. The web ontology language named OWL is used to uniformly describe the graphic content and semantic information,and query them respectively. In the process of querying graphic content,it introduces reasoning method of ontology to get out the connotative graphic content,then queries the information which is needed. In the process of querying semantic information,it introduces semantic search method,according to the method which is based on semantic distance to compute ontology concept similarity to compute the similarity between classes in the semantic virtual environment ontology,then searches the instance which has the maximum similarity with the queried instance,and finds out the relation between them with the help of reasoning. This model makes ontology play bigger role in semantic virtual environment,and the feasibility of this Mapping Ontology(MO) is proved by querying and reasoning a semantic virtual furniture shop ontology.
Key words:
X3D standard,
semantic virtual environment,
ontology,
OWL language,
querying,
reasoning,
semantic similarity
中图分类号: