Semantic metrics

被引:0
|
作者
Hu, Bo [1 ]
Kalfoglou, Yannis [1 ]
Alani, Harith [1 ]
Dupplaw, David [1 ]
Lewis, Paul [1 ]
Shadbolt, Nigel [1 ]
机构
[1] Univ Southampton, ECS, IAM Grp, Southampton SO17 1BJ, Hants, England
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the context of the Semantic Web, many ontology-related operations, e.g. ontology ranking, segmentation, alignment, articulation, reuse, evaluation, can reduced to one fundamental operation: computing the similarity and/or dissimilarity among ontological entities, and in some cases among ontologies themselves. In this paper, we review standard metrics for computing distance measures and we propose a series of semantic metrics. We give a formal account of semantic metrics drawn from a variety of research disciplines, and enrich them with semantics based on standard Description Logic constructs. We argue that concept-based metrics can be aggregated to produce numeric distances At ontology-level and we speculate on the usability of our ideas in potential areas.
引用
收藏
页码:166 / 181
页数:16
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