The TSIMMIS Approach to Mediation: Data Models and Languages
Journal of Intelligent Information Systems - Special issue: next generation information technologies and systems
Querying Heterogeneous Information Sources Using Source Descriptions
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
The Piazza Peer Data Management System
IEEE Transactions on Knowledge and Data Engineering
A mapping system for the integration of OWL-DL ontologies
Proceedings of the first international workshop on Interoperability of heterogeneous information systems
Efficient Selection and Integration of Data Sources for Answering Semantic Web Queries
ICSC '08 Proceedings of the 2008 IEEE International Conference on Semantic Computing
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We present an efficient search approach for selecting all potentially relevant data sources for a conjunctive Semantic Web query. We use map ontologies to align heterogeneous domain ontologies. This allows us to select data sources that may be relevant to the query but generally do not describe their data directly in terms of the ontology of the query. The "Goal Node Search" algorithm is a significant improvement on our original source selection algorithm. The new algorithm allows a more expressive knowledge representation language to describe domain ontologies and it is about three times more efficient than the original source selection algorithm when performing similar tasks.