Data model and query evaluation in global information systems
Journal of Intelligent Information Systems - Special issue: networked information discovery and retrieval
Your mediators need data conversion!
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Ariadne: a system for constructing mediators for Internet sources
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Mind your vocabulary: query mapping across heterogeneous information sources
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Computing capabilities of mediators
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
A decision-theoretic approach to database selection in networked IR
ACM Transactions on Information Systems (TOIS)
Generalizing GlOSS to Vector-Space Databases and Broker Hierarchies
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
COOPIS '96 Proceedings of the First IFCIS International Conference on Cooperative Information Systems
Ontology Based Personalized Search
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Democratic Data Fusion for Information Retrieval Mediators
AICCSA '01 Proceedings of the ACS/IEEE International Conference on Computer Systems and Applications
Mediators over Ontology-Based Information Sources
WISE '01 Proceedings of the Second International Conference on Web Information Systems Engineering (WISE'01) Volume 1 - Volume 1
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We propose a model for providing integrated and unified access to multiple information sources. Eachsource comprises: (a) an ontology i.e. a set of terms structured by a subsumption relation, and (b) a database that stores descriptions of objects using terms of the ontology. We assume that different sources may use different ontologies, i.e., different terminologies 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 sources, where an articulation to a source is 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, send them to the appropriate sources, then combine the results to answer the original query. We study the querying and answering process in this model and we focus on query translation between the mediator and the sources.