How do we measure and improve the quality of a hierarchical ontology?

被引:26
作者
Beydoun, Ghassan [1 ]
Lopez-Lorca, Antonio A. [1 ]
Garcia-Sanchez, Francisco [2 ]
Martinez-Bejar, Rodrigo [2 ,3 ]
机构
[1] Univ Wollongong, Sch Informat Syst & Technol, Wollongong, NSW 2522, Australia
[2] Univ Murcia, Fac Comp Sci, Murcia, Spain
[3] Univ Murcia, Dept Informat & Commun Engn, Murcia, Spain
基金
澳大利亚研究理事会;
关键词
Ontology; Taxonomy; Ontology evaluation; Data model; OWL;
D O I
10.1016/j.jss.2011.07.010
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Hierarchical ontologies enable organising information in a human-machine understandable form, but constructing them for reuse and maintainability remains difficult. Often supporting tools available lack formal methodological underpinning and their developers are not supported by any concomitant metrics. The paper presents a formal underpinning to provide quality metrics of a taxonomy hierarchical ontology and proposes a methodology for semi-automatic building of maintainable taxonomies. Users provide terms to be used to describe different ontological elements as well as their attributes and their ranges of values. The methodology uses the formalised metrics to assess the quality of the users input and proposes changes according to given quality constraints. The paper illustrates the metrics and the methodology in constructing and repairing two medium size well-known taxonomies. (c) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:2363 / 2373
页数:11
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