A framework for evaluating semantic metadata

Authors:
Yuangui Lei;Victoria Uren;Enrico Motta
Affiliations:
The Open University, Milton Keynes, United Kingdom;The Open University, Milton Keynes, United Kingdom;The Open University, Milton Keynes, United Kingdom
Venue:
Proceedings of the 4th international conference on Knowledge capture
Year:
2007

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Abstract

Because poor quality semantic metadata can destroy the effectiveness of semantic web technology by hampering applications from producing accurate results, it is important to have frameworks that support their evaluation. However, there is no such framework developedto date. In this context, we proposed i) an evaluation reference model, SemRef, which sketches some fundamental principles for evaluating semantic metadata, and ii) an evaluation framework, SemEval, which provides a set of instruments to support the detection of quality problems and the collection of quality metrics for these problems. A preliminary case study of SemEval shows encouraging results.