F-logic: a higher-order language for reasoning about objects, inheritance, and scheme
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
Data model and query evaluation in global information systems
Journal of Intelligent Information Systems - Special issue: networked information discovery and retrieval
OKBC: a programmatic foundation for knowledge base interoperability
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Context interchange: new features and formalisms for the intelligent integration of information
ACM Transactions on Information Systems (TOIS)
Object Database Standard: ODMG-93, Release 1.2
Object Database Standard: ODMG-93, Release 1.2
Establishing a Knowledge Base to Assist Integration of Heterogeneous Databases
BNCOD 16 Proceedings of the 16th British National Conferenc on Databases: Advances in Databases
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
Information Sciences: an International Journal
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Providing integrated access to data from many diverse and heterogeneous Information Servers (ISs) requires deep knowledge, not only about the structure of the data represented at each server, but also about the commonly occurring differences in the intended semantics of this data. Unfortunately, very often there is a lacko f such knowledge and the local schemas, being semantically weakas a consequence of the limited expressiveness of traditional data models, do not help the acquisition of this knowledge. In this paper we propose domain-specific metadata as a key for upgrading the semantic level of the local ISs to which an integration system requires access, and for building semantically-rich schema models. We provide a frameworkf or enriching the individual IS schemas with semantic domain knowledge to make explicit the assumptions which may have been made by their designers, are of interest to the integrator (interpreter or user), and which may not be captured using the DDL language of their host servers. The enriched schema semantic knowledge is organised by levels of schematic granularity: database, schema, attribute and instance levels giving rise to semantically-rich schema models.