Journal ArticleDOI
A semiotic metrics suite for assessing the quality of ontologies
Andrew Burton-Jones,Veda C. Storey,Vijayan Sugumaran,Punit Ahluwalia +3 more
- Vol. 55, Iss: 1, pp 84-102
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TLDR
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.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.read more
Citations
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A survey of ontology evaluation techniques
Janez Brank,Marko Grobelnik +1 more
TL;DR: A survey of the state of the art in ontology evaluation is presented, typically in order to determine which of several ontologies would best suit a particular purpose.
Journal ArticleDOI
A software engineering approach to ontology building
TL;DR: This paper proposes UP for ONtology (UPON) building, a methodology for ontology building derived from the UP, and a comparative evaluation with other methodologies and the results of its adoption in the context of the Athena EU Integrated Project are discussed.
BookDOI
Ontology Engineering in a Networked World
TL;DR: This book by Surez-Figueroa et al. provides the necessary methodological and technological support for the development and use of ontology networks, which ontology developers need in this distributed environment.
Journal ArticleDOI
OOPS! (OntOlogy Pitfall Scanner!): An On-line Tool for Ontology Evaluation
TL;DR: A live catalogue of pitfalls that extends previous works on modeling errors with new pitfalls resulting from an empirical analysis of over 693 ontologies, and OOPS! (OntOlogy Pitfall Scanner!), a tool for detecting pitfalls in ontologies and targeted at newcomers and domain experts unfamiliar with description logics and ontology implementation languages.
Journal ArticleDOI
Ontology-based models in pervasive computing systems
TL;DR: This work identifies a number of deficiencies that must be addressed in order to apply the ontological techniques successfully to next-generation pervasive systems.
References
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