Word sense disambiguation for free-text indexing using a massive semantic network
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Automated resolution of semantic heterogeneity in multidatabases
ACM Transactions on Database Systems (TODS)
Distributed and Parallel Databases
A relational model of data for large shared data banks
Communications of the ACM
Intelligent Database Systems
OntoSeek: Content-Based Access to the Web
IEEE Intelligent Systems
Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
Putting Similarity Assessments into Context: Matching Functions with the User's Intended Operations
CONTEXT '99 Proceedings of the Second International and Interdisciplinary Conference on Modeling and Using Context
Knowledge Based Integration of Heterogeneous Databases
Proceedings of the IFIP WG 2.6 Database Semantics Conference on Interoperable Database Systems (DS-5)
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Query processing plays a fundamental role in current information systems that need to access independent and heterogeneous databases. This paper presents a new approach to querying heterogeneous databases that maps the semantics of query objects onto database schemas. The sematics is captured by the definitions of classes in an ontology, and a similarity function identifies not only equivalent but also semantically similar classes associated with a user's request. These similar classes are then mapped onto a database schema, which is compared with schemas of heterogeneous databases to obtain entities in the databases that answer the query.