计算机科学 ›› 2010, Vol. 37 ›› Issue (6): 233-236.

• 人工智能 • 上一篇    下一篇

一种新的本体映射发现方法SME

夏红科,郑雪峰,胡祥   

  1. (北京科技大学信息工程学院 北京100083),(北京信息科技大学计算机学院 北京100192),(北京邮电大学计算机科学与技术学院 北京100876),(华北电力大学计算机科学与技术学院 北京102206)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家高技术研究发展(863)计划(2006AAOl 2231),北京信息科技大学校基金(5026010934)资助。

Novel Approach of Ontology Mapping Extraction SME

XIA Hong-ke,ZHENG Xue-feng,HU Xiang   

  • Online:2018-12-01 Published:2018-12-01

摘要: 本体映射是基于本体的语义查询与集成的基础。本体映射发现的任务是从源本体和目标本体的相似度中发现本体映射,它是本体映射的关键。将本体映射发现问题看成是集合覆盖问题,提出一种基于集合覆盖的本体映射发现方法SME(SCM-based Mapping Extraction),该方法在训练阶段找到最大程度覆盖训练数据的属性集,在测试阶段利用这些属性集在测试数据上对应属性值的交操作来发现映射。实验证明该方法具有较好的综合性能。

关键词: 映射发现,集合覆盖,数据依赖球,属性空间

Abstract: Ontology mapping is the foundation of semantic query and semantic integration based on ontology. As the crucial point of ontology mapping, the task of mapping extraction is to find whether there exists the ontology mapping among the similarities between source ontology and target ontology. In this paper the problem of mapping extraction was regarded as the problem of set covering, and a novel ontology mapping extraction algorithm based on set covering SME (SCM-based Mapping Extraction) was proposed, by which the property set that covers the training data set in maximum degree was searched during training stage, and the mapping extraction was carried out by means of the conjunction of the properties of property set in testing data set during testing stage. Experimental evaluations show that this method has better comprehensive performances compared with other algorithms.

Key words: Mapping extraction, Set covering, Data-dependent ball, Property spaces

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