The state of the art in distributed query processing
ACM Computing Surveys (CSUR)
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Data Integration under Integrity Constraints
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
An Ontology-Based Framework for XML Semantic Integration
IDEAS '04 Proceedings of the International Database Engineering and Applications Symposium
Named graphs, provenance and trust
WWW '05 Proceedings of the 14th international conference on World Wide Web
Semantics and complexity of SPARQL
ACM Transactions on Database Systems (TODS)
An Ontology-Based Framework for Geographic Data Integration
ER '09 Proceedings of the ER 2009 Workshops (CoMoL, ETheCoM, FP-UML, MOST-ONISW, QoIS, RIGiM, SeCoGIS) on Advances in Conceptual Modeling - Challenging Perspectives
A semantic web middleware for virtual data integration on the web
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Querying distributed RDF data sources with SPARQL
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Journal on data semantics X
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In this paper, we present a three-level ontology-based framework for effectively designing GAV data integration systems. In our approach, the mediated schema is represented by a domain ontology, which provides a conceptual representation of the application. Each local source is described by an application ontology, whose vocabulary is restricted to be a subset of the vocabulary of domain ontology. The three-level architecture permits dividing the mapping definition in two stages: local mappings and mediated mappings. Due to this architecture the problem of query answering can also be broken into two steps. First, the query is decomposed, using the mediated mappings, into a set of elementary sub-queries expressed in terms of the application ontologies. Then, these sub-queries are rewritten, using the local mappings, in terms of their local sources schemas. This paper focus on a method for query processing that addresses the problem of efficient query answering. Our approach is illustrated by an example of a virtual store mediating access to online booksellers.