A semiotic metrics suite for assessing the quality of ontologies

  • Authors:

  • Andrew Burton-Jones;Veda C. Storey;Vijayan Sugumaran;Punit Ahluwalia

  • Affiliations:

  • J. Mack Robinson College of Business, Georgia State University, Atlanta, GA;J. Mack Robinson College of Business, Georgia State University, Atlanta, GA;Department of Decision and Information Sciences, School of Business Administration, Oakland University, Rochester, MI;J. Mack Robinson College of Business, Georgia State University, Atlanta, GA

  • Venue:
  • Data & Knowledge Engineering - Special issue: Natural language and database and information systems: NLDB 03
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

A suite of metrics is proposed to assess the quality of an ontology. Drawing upon semiotic theory, the metrics assess the syntactic, semantic, pragmatic, and social aspects of ontology quality. We operationalize the metrics and implement them in a prototype tool called the Ontology Auditor. An initial validation of the Ontology Auditor on the DARPA Agent Markup Language (DAML) library of domain ontologies indicates that the metrics are feasible and highlights the wide variation in quality among ontologies in the library. The contribution of the research is to provide a theory-based framework that developers can use to develop high quality ontologies and that applications can use to choose appropriate ontologies for a given task.