AAAI Publications, Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence

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Towards Joint Inference for Complex Ontology Matching
Christian Meilicke, Jan Noessner, Heiner Stuckenschmidt

Last modified: 2013-06-29

Abstract


In this paper, we show how to model the matching problem as a problem of joint inference. In opposite to existing ap-proaches, we distinguish between the layer of labels and the layer of concepts and properties. Entities from both layers appear as first class citizens in our model. We present an ex-ample and explain the benefits of our approach. Moreover, we argue that our approach can be extended to generate cor-respondences involving complex concept descriptions.

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