Providing metrics and automatic enhancement for hierarchical taxonomies

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摘要

Taxonomies enable organising information in a human–machine understandable form, but constructing them for reuse and maintainability remains difficult. The paper presents a formal underpinning to provide quality metrics for a taxonomy under development. It proposes a methodology for semi-automatic building of maintainable taxonomies and outlines key features of the knowledge engineering context where the metrics and methodology are most suitable. The strength of the approach presented is that it is applied during the actual construction of the taxonomy. Users provide terms to describe different domain elements, as well as their attributes, and methodology uses metrics to assess the quality of this input. Changes according to given quality constraints are then proposed during the actual development of the taxonomy.

论文关键词:Incremental knowledge development,Taxonomies,Ontology evaluation,Data models,Knowledge monitoring

论文评审过程:Received 27 October 2010, Revised 27 January 2012, Accepted 30 January 2012, Available online 23 February 2012.

论文官网地址:https://doi.org/10.1016/j.ipm.2012.01.006