Nov 21, 2024 · This paper endeavours to answer this question by reviewing relevant literature and instantiating the data-driven ontology evaluation methodology ...
This paper endeavours to answer this question by reviewing relevant literature and instantiating the data-driven ontology evaluation methodology in the context ...
This paper endeavours to answer this question by reviewing relevant literature and instantiating the data-driven ontology evaluation methodology in the context ...
Contributing Evidence to Data-driven Ontology Evaluation - Workflow Ontologies Perspective. Hlomani Hlomani, Deborah Stacey. 2013. Abstract. Ontologies have ...
Contributing Evidence to Data-driven Ontology Evaluation - Workflow Ontologies Perspective. Authors: Hlomani Hlomani and Deborah Stacey. Abstract: Ontologies ...
Oct 7, 2024 · An extension to the data-driven ontology evaluation ... Contributing Evidence to Data-driven Ontology Evaluation - Workflow Ontologies Perspective ...
Contributing evidence to data-driven ontology evaluation-workflow ontologies perspective. H Hlomani, D Stacey. International Conference on Knowledge Engineering ...
We propose in this paper that one approach to ontology evaluation should be corpus or data driven. A corpus is the most accessible form of knowledge and its ...
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The paper hence proposes a multidimensional view to data-driven ontology evaluation that accounts for bias in the valuation of ontologies. The direct ...
Multiple Dimensions to Data-Driven Ontology Evaluation | Semantic ...
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This work proposes a method of Data and Application Driven Ontology Construction (DaDoc), integrating data characteristics and application demands into the ...