Ontology Matching
Combining vocabulary alignment techniques
Proceedings of the fifth international conference on Knowledge capture
Aligning large SKOS-Like vocabularies: two case studies
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Supporting linked data production for cultural heritage institutes: the amsterdam museum case study
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Linking the kingdom: enriched access to a historiographical text
Proceedings of the seventh international conference on Knowledge capture
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In many heritage institutes, objects are routinely described using terms from predefined vocabularies. When object collections need to be merged or linked, the question arises how those vocabularies relate. In practice it often unclear for data providers how well alignment tools will perform on their specific vocabularies. This creates a bottleneck to align vocabularies, as data providers want to have tight control over the quality of their data. We will discuss the key limitations of current tools in more detail and propose an alternative approach. We will show how this approach has been used in two alignment use cases, and demonstrate how it is currently supported by our Amalgame alignment platform.