计算机科学 ›› 2010, Vol. 37 ›› Issue (10): 138-142.

• 软件工程 • 上一篇    下一篇

一种有效的基于本体的词语一概念映射方法

李文,陈叶旺,彭鑫,赵文耘   

  1. (复旦大学计算机科学技术学院 上海200433)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家863高技术研究发展计划基金项目(2007AA01Z179)资助。

Effective Term-Concept Mapping Method Based on Ontology

LI Wen,CHEN Ye-wang,PENG Xin,ZHAO Wen-yun   

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

摘要: 词语一概念映射是基于本体的语义检索的重要一环,对语义检索的查准率及查全率有很大的影响。在传统的基于关键词匹配的方法中,通常从词语一概念的共现程度来计算它们的相关度,这种方法没有考虑概念的属性及属性值,即丢失了概念的语义信息。针对这一问题,提出了一种词语一概念映射方法,该方法基于本体三元组一文档标注结果,利用概念一文档与词语一文档两重关系,首先计算出词语一概念的相关度与置信度,再实现词语一概念的映射。实验结果表明,该方法有效地提高了检索的效果。

关键词: 本体,词语,映射,标注,三元组

Abstract: Term-concept mapping, as one of the key steps of ontology-based semantic search, has a great impact on precision and recall. In traditional methods based on keyword matching, termconcept co-occurrence is introduced to compute the association,but this kind of method doesn't consider the attributes of concepts or their values, losing the semantic information. To handle the problem, we proposed a term-concept mapping method based on triple-document annotation, which takes into count both the concept document and term-document relationship, calculates the correlation and confident degree of term-concept firstly,and then gives the final mapping results. The experiments show that this method improves the precision and recall effectively.

Key words: Ontology, Term, Mapping, Annotation, Triple

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