A semiotic metrics suite for assessing the quality of ontologies

Burton‐Jones, Andrew; Storey, Veda C.; Sugumaran, Vijayan; Ahluwalia, Punit

doi:10.1016/j.datak.2004.11.010

Cited by 259 publications

(211 citation statements)

References 22 publications

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“…This work does not seem to address the semantic correctness of the ontology but mainly its structure and engineering methodology. A similar approach, but with a greater attention to semantics, is proposed by (Burton-Jones et al, 2005). defines a benchmark for the analysis of ontologies based on two different semantics, OWL Lite and OWL DL.…”

Section: Related Workmentioning

confidence: 99%

Mutating OWLs: Semantic Mutation Testing for Ontologies

Bartolini

2016

Proceedings of the International Workshop on domAin Specific Model-Based AppRoaches to vErificaTion and validaTiOn

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Abstract:Ontologies are an essential component of semantic knowledge bases and applications, and nowadays they are used in a plethora of domains. Despite the maturity of ontology languages, support tools and engineering techniques, the testing and validation of ontologies is a field which still lacks consolidated approaches and tools. This paper attempts at partly bridging that gap, taking a first step towards the extension of mutation testing techniques to ontologies expressed in a widely-used format. Mutation testing techniques, revisited in the light of the peculiar features of the ontology language and structure, can help in the engineering and refinement of ontologies and software based on them.

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Section: Related Workmentioning

confidence: 99%

Mutating OWLs: Semantic Mutation Testing for Ontologies

Bartolini

2016

Proceedings of the International Workshop on domAin Specific Model-Based AppRoaches to vErificaTion and validaTiOn

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“…Ontology modelling quality is often assessed based on its syntactic, structural and semantic quality aspects [50], where the logical consistency must be guaranteed. AoFeCSO is (initially) built using Proté gé .…”

Section: Quality Of Modellingmentioning

confidence: 99%

An agility-oriented and fuzziness-embedded semantic model for collaborative cloud service search, retrieval and recommendation

Fang

Liu

Romdhani

et al. 2016

Future Generation Computer Systems

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“…Let W be the number of terms that have a sense listed in WordNet. Then EI = W/C" (Burton-Jones et al, 2005). Instead of WordNet, the measure EV(m) uses a metamodel of the language that is the domain of m. The measure EC(M) does not have a corresponding measure in the suite of measures for evaluating ontologies.…”

Section: Advantagesmentioning

confidence: 99%

“…Semiotics has been used as the basis in order to evaluate the quality of conceptual models (Lindland et al, 1994), specifications of requirements (Krogstie, 2001), ontologies (Burton-Jones et al, 2005), enterprise models (Belle, 2006), and process models (Krogstie et al, 2006). A software measure is a kind of software entity.…”

Section: Introductionmentioning

confidence: 99%

Towards a Semiotic Quality Framework of Software Measures

Eessaar

2008

Proceedings of the Tenth International Conference on Enterprise Information Systems

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Abstract:Each software entity should have as high quality as possible in the context of limited resources. A software quality measure is a kind of software entity. Existing studies about the evaluation of software measures do not pay enough attention to the quality of specifications of measures. Semiotics has been used as a basis in order to evaluate the quality of different types of software entities. In this paper, we propose a multidimensional, semiotic quality framework of software quality measures. We apply this framework in order to evaluate the syntactic and semantic quality of two sets of database design measures. The evaluation shows that these measures have some quality problems.

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A semiotic metrics suite for assessing the quality of ontologies

Cited by 259 publications

References 22 publications

Mutating OWLs: Semantic Mutation Testing for Ontologies

Mutating OWLs: Semantic Mutation Testing for Ontologies

An agility-oriented and fuzziness-embedded semantic model for collaborative cloud service search, retrieval and recommendation

Towards a Semiotic Quality Framework of Software Measures

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