Evaluating ontological decisions with OntoClean
Communications of the ACM - Ontology: different ways of representing the same concept
Measuring Similarity between Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
The Journal of Machine Learning Research
A user-centered functional metadata evaluation of moving image collections
Journal of the American Society for Information Science and Technology
How to Design Better Ontology Metrics
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
What Makes a Good Ontology? A Case-Study in Fine-Grained Knowledge Reuse
ASWC '09 Proceedings of the 4th Asian Conference on The Semantic Web
Using natural language input and audio analysis for a human-oriented MIR system
WEDELMUSIC'02 Proceedings of the Second international conference on Web delivering of music
| Hi-index | 0.00 |
The Music Ontology provides a framework for publishing structured music-related data on the Web, ranging from editorial data to temporal annotations of audio signals. It has been used extensively, for example in the DBTune project and on the BBC Music website. Until now it hasn't been systematically evaluated and compared to other frameworks for handling music-related data. In this article, we design a ‘query-driven' ontology evaluation framework capturing the intended use of this ontology. We aggregate a large set of real-world music-related user needs, and evaluate how much of it is expressible within our ontological framework. This gives us a quantitative measure of how well our ontology could support a system addressing these real-world user needs. We also provide some statistical insights in terms of lexical coverage for comparison with related description frameworks and identify areas within the ontology that could be improved.