一种有效的基于本体的词语-概念映射方法  

Effective Term-Concept Mapping Method Based on Ontology

作　　者：李文[1] 陈叶旺[1] 彭鑫[1] 赵文耘[1] 

机构地区：[1]复旦大学计算机科学技术学院,上海200433

出　　处：《计算机科学》2010年第10期138-142,共5页Computer Science

基　　金：国家863高技术研究发展计划基金项目(2007AA01Z179)资助

摘　　要：词语-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-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-概念映射方法,该方法基于本体三元组-文档标注结果,利用概念-文档与词语-文档两重关系,首先计算出词语-概念的相关度与置信度,再实现词语-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。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,term-concept 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.

关 键 词：本体 词语 映射 标注 三元组 

分 类 号：TP311.134[自动化与计算机技术—计算机软件与理论]