NDLI: The Open University ’ s repository of research publications and other research outputs Data driven ontology evaluation

Content Provider	Semantic Scholar
Author	Brewster, Christopher Alani, Harith Srinandan Dasmahapatra Wilks, Yorick
Copyright Year	2016
Abstract	The evaluation of ontologies is vital for the growth of the Semantic Web. We consider a number of problems in evaluating a knowledge artifact like an ontology. 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 use allows a measure to be derived of the ‘fit’ between an ontology and a domain of knowledge. We consider a number of methods for measuring this ‘fit’ and propose a measure to evaluate structural fit, and a probabilistic approach to identifying the best ontology.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://oro.open.ac.uk/20045/1/BrewsterLREC-final.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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