A vector space model for automatic indexing
Communications of the ACM
Constructing virtual documents for ontology matching
Proceedings of the 15th international conference on World Wide Web
Searching ontologies based on content: experiments in the biomedical domain
Proceedings of the 4th international conference on Knowledge capture
GeRoMeSuite: a system for holistic generic model management
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Toward a New Generation of Semantic Web Applications
IEEE Intelligent Systems
Sindice.com: a document-oriented lookup index for open linked data
International Journal of Metadata, Semantics and Ontologies
Exploring the Semantic Web as Background Knowledge for Ontology Matching
Journal on Data Semantics XI
Semantic precision and recall for ontology alignment evaluation
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Ontology matching with semantic verification
Web Semantics: Science, Services and Agents on the World Wide Web
On the discovery of subsumption relations for the alignment of ontologies
Web Semantics: Science, Services and Agents on the World Wide Web
Automatic Ontology Matching via Upper Ontologies: A Systematic Evaluation
IEEE Transactions on Knowledge and Data Engineering
Matching of ontologies with XML schemas using a generic metamodel
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
Watson, more than a Semantic Web search engine
Semantic Web
Finding and ranking knowledge on the semantic web
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Ranking ontologies with AKTiveRank
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
A survey of schema-based matching approaches
Journal on Data Semantics IV
Matching unstructured vocabularies using a background ontology
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
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Background knowledge in form of ontologies is an important source of information for many tasks in the semantic web, e.g., ontology matching, ontology construction and editing, natural language processing. In particular, ontology matching and integration can benefit from background ontologies as semantic relationships may be discovered which cannot be identified otherwise. In existing approaches, the background ontology has to be provided often by the user. Therefore, we present an approach that uses background knowledge for matching; but in contrast to other approaches, our approach is able to identify appropriate background ontologies automatically. We implemented this approach in our matching frame-work GeRoMeSuite and tested it with several data sets from the Ontology Alignment Evaluation Initiative (OAEI) campaign. The evaluation shows that the use of background knowledge improves the result in most cases and that our ontology discovery process is able to find appropriate background knowledge to bridge the gap between the two input ontologies.