Query Translation for Mediators over Ontology-Based Information Sources
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
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The VLDB Journal — The International Journal on Very Large Data Bases
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IEEE Intelligent Systems
Abduction for Accessing Information Sources
Fundamenta Informaticae
Graph-based query rewriting for knowledge sharing between peer ontologies
Information Sciences: an International Journal
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SAMT '08 Proceedings of the 3rd International Conference on Semantic and Digital Media Technologies: Semantic Multimedia
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ASIAN'04 Proceedings of the 9th Asian Computing Science conference on Advances in Computer Science: dedicated to Jean-Louis Lassez on the Occasion of His 5th Cycle Birthday
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WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
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Bisociative Knowledge Discovery
Abduction for Accessing Information Sources
Fundamenta Informaticae
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We propose a model for providing integrated and unified access to multiple information sources. Each information source comprises two parts: (a) an ontology i.e. a set of terms structured by a subsumption relation, and (b) a database that stores objects under the terms of the ontology. We assume that the objects of interest belong to an underlying domain that is common to all sources (e.g. a set of web pages of interest), and that different sources may use different ontologies with terms that correspond to different natural languages or to different levels of granularity. Information integration is obtained through a mediator comprising two parts: (a) an ontology, and (b) a set of articulations to the information sources. Here, by articulation to a source we mean a set of relationships between terms of the mediator and terms of that source. Information requests (queries) are addressed to the mediator whose task is to analyze each query into sub-queries, translate them into queries to the appropriate sources, then merge the results to answer the original query. We study the querying and answering process in such a model and present algorithms for handling the main tasks of the mediator, namely, query translation between the mediator and the sources, source selection and result merging to produce the final answer.