Ontology merging

Abstract Merging schemas or other structured data occur in many different data models and applications, including merging ontologies, view integration, data integration, and computer supported collaborative work. This paper describes some of the key works in merging schemas and discusses some of the commonalities and differences. 

One representative work on merging ontologies began with an algorithm called SMART [Noy and Musen 1999a,b] and was later renamed Prompt [Noy and Musen... 

There is one class at the node In this case, the answer is found automatically there are no conflicts and the class at that node is added to the resulting merged ontology. 

Pease, A., Niles, I., Li, J. The suggested upper merged ontology a large ontology for the Semantic Web and its applications. In Working Notes of the AAAI Workshop on Ontologies and the Semantic Web. Edmonton, Canada (2002)... 

Schemas, ontologies and other related structures commonly need to be merged in a number of different applications. This happens for a number of reasons. For example ...

Steps 3 and 4 are repeated until the ontologies are completely merged or aligned. 

Both works provide a valuable complement to the more theory-based papers that make up the bulk of the papers cited here, and also dovetail nicely with some of the work on user preference in ontology merging systems, e.g., SMART (see Sect. 5.1). 

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