【摘要】 为了提高RDF/RDFS本体中特定领域知识的利用效率,提出了一种从源本体中抽取出特定领域本体的算法。将RDF/RDFS本体抽象为图模型;根据RDFS推理规则生成RDFS本体图模型的闭包;应用图理论构建抽取算法,生成以特定领域术语词典中概念为节点的子图,得到所需的领域本体。抽取结果表明,该方法对于RDF层次的领域本体抽取有良好的适用性,可快速有效地构建特定领域本体。更多还原

【Abstract】 In order to improve the usage efficiency of domain-specific knowledge of source RDF ontology,an algorithm of extracting a domain-specific ontology from source ontology was put forward.Firstly,RDF/RDFS ontologies were abstracted as graph models.Secondly,according to the RDFS inference rules,the closure of RDFS ontology graph model was constructed.Finally,an algorithm based on the graph theory to extract a sub-graph with the concepts in the domain term lexicon as nodes was presented.The sub-graph was regarded as the required domain ontology.Experimental results show that the method is applicable to RDF/RDFS domain ontology extraction.Applying the method,a domain-specific ontology can be generated fast and effectively.更多还原