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- 253 creator antoine-isaac.
- 253 creator lourens-van-der-meij.
- 253 creator shenghui-wang.
- 253 creator stefan-schlobach.
- 253 type InProceedings.
- 253 label "An empirical study of instance-based ontology matching".
- 253 sameAs 253.
- 253 abstract "Instance-based ontology mapping is a promising family of solutions to a class of ontology alignment problems. Instance-based ontology mapping crucially depends on measuring the similarity between sets of annotated instances. In this paper we study how the choice of co-occurrence measures affects the performance of instance-based mapping. To this end, we have implemented a number of different statistical co-occurrence measures. We have prepared an extensive test case using vocabularies of thousands of terms, millions of instances, and hundreds of thousands of co-annotated items, and we have obtained a human Gold Standard judgement for part of the mapping-space. We then study how the different co-occurrence measures and a number of algorithmic variations perform on our benchmark dataset, as compared against the GoldStandard. Our systematic study shows excellent results of instance-based matching in general, where the more simple measures often outperform more sophisticated statistical co-occurrence measures.".
- 253 hasAuthorList authorList.
- 253 isPartOf proceedings.
- 253 title "An empirical study of instance-based ontology matching".