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Authors: Hlomani Hlomani and Deborah Stacey

Affiliation: University of Guelph, Canada

ISBN: 978-989-8565-81-5

Keyword(s): Workflow, Ontology, Ontology Evaluation, Corpus-driven Evaluation, Latent Semantic Analysis.

Related Ontology Subjects/Areas/Topics: Applications and Case-studies ; Artificial Intelligence ; Collaboration and e-Services ; Data Engineering ; e-Business ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge Reengineering ; Knowledge Representation ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Ontology Sharing and Reuse ; Semantic Web ; Soft Computing ; Symbolic Systems

Abstract: Ontologies have established themselves as the single most important semantic web technology. They have attracted widespread interest from both academic and industrial domains. This has led to an increase in ontologies created. It has become apparent that more than one ontology may model the same domain yet they can be very different. The question then is, how do you determine which ontology best fits your purposes? This paper endeavours to answer this question by reviewing relevant literature and instantiating the data-driven ontology evaluation methodology in the context of workflow ontologies. This evaluation methodology is then evaluated through statistical means particularly the Kruskal-Wallis test and further post hoc testing using the Mann-Whiteny U test.

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Paper citation in several formats:
Hlomani, H. and Stacey, D. (2013). Contributing Evidence to Data-driven Ontology Evaluation - Workflow Ontologies Perspective.In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013) ISBN 978-989-8565-81-5, pages 207-213. DOI: 10.5220/0004543602070213

@conference{keod13,
author={Hlomani Hlomani. and Deborah Stacey.},
title={Contributing Evidence to Data-driven Ontology Evaluation - Workflow Ontologies Perspective},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)},
year={2013},
pages={207-213},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004543602070213},
isbn={978-989-8565-81-5},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)
TI - Contributing Evidence to Data-driven Ontology Evaluation - Workflow Ontologies Perspective
SN - 978-989-8565-81-5
AU - Hlomani, H.
AU - Stacey, D.
PY - 2013
SP - 207
EP - 213
DO - 10.5220/0004543602070213

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