一种对语义网上本体进行检索和排序新方法

A Novel Approach for Retrieval and Ranking for the Ontologies on the Semantic Web

提出了一种对语义网上的本体进行检索和排序的新方法ARRO(an Approach for Retrieval and Ranking for the On-tology),其核心思想是通过对本体进行解析产生逻辑三元组.再在三元组的基础上进行逻辑推理,形成概念的逻辑视图,然后通过排序公式对相关本体进行检索和排序.这种通过逻辑视图和三元组对本体进行检索和排序的方法可以有效的进行逻辑推理,并提高检索效率,从而解决在传统的基于关键字的信息检索中只能从句法上对关键字进行分析,无法将推理和检索相互结合,互相促进的问题.本文对ARRO进行了测试,结果验证了其实用性和有效性.

In this paper,a novel approach ARRO has been proposed for retrieval and ranking of the ontologies on the Semantic web. In ARRO,the ontologies are first parsed and transformed into RDF triples,and then the inference will be performed and the logic views are formed. Through the logic view ,retrieval can be made and the rank lists are created. Henee,ARRO can combine logic inference and information retrieval and ranking. At the end of the paper,experiments are performed and the results prove the validation of ARRO.