Complexity of answering queries using materialized views
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
MiniCon: A scalable algorithm for answering queries using views
The VLDB Journal — The International Journal on Very Large Data Bases
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
Constraint-based XML query rewriting for data integration
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Answering queries using views: A KRDB perspective for the semantic Web
ACM Transactions on Internet Technology (TOIT)
MARS: a system for publishing XML from mixed and redundant storage
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
SPARQL query rewriting for implementing data integration over linked data
Proceedings of the 2010 EDBT/ICDT Workshops
Using semantic data integration to create reliable rule-based systems with uncertainty
Engineering Applications of Artificial Intelligence
Modeling and Respecting Privacy Specification when Composing DaaS Services*
International Journal of Web Services Research
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We study the problem of answering queries through a target RDF-based ontology, given a set of view-based mappings between one or more source relational schemas and this target ontology. Particularly, we consider a set of RDFS semantic constraints such as rdfs:subClassof, rdfs:subPropertyof, rdfs:domain, and rdfs:range, which are present in RDF model but neither XML nor relational models. We formally define the query semantics in such an integration scenario, and design a novel query rewriting algorithm to implement the semantics.