Abstract
Most of the existing work on information integration in the Semantic Web concentrates on resolving schema-level problems. Specific issues of data-level integration (instance coreferencing, conflict resolution, handling uncertainty) are usually tackled by applying the same techniques as for ontology schema matching or by reusing the solutions produced in the database domain. However, data structured according to OWL ontologies has its specific features: e.g., the classes are organized into a hierarchy, the properties are inherited, data constraints differ from those defined by database schema. This paper describes how these features are exploited in our architecture KnoFuss, designed to support data-level integration of semantic annotations.
Keywords
- Domain Ontology
- Training Instance
- Application Context
- Class Hierarchy
- Ontology Match
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Nikolov, A., Uren, V., Motta, E., de Roeck, A. (2008). Integration of Semantically Annotated Data by the KnoFuss Architecture. In: Gangemi, A., Euzenat, J. (eds) Knowledge Engineering: Practice and Patterns. EKAW 2008. Lecture Notes in Computer Science(), vol 5268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87696-0_24
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DOI: https://doi.org/10.1007/978-3-540-87696-0_24
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