A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
Data model and query evaluation in global information systems
Journal of Intelligent Information Systems - Special issue: networked information discovery and retrieval
Infomaster: an information integration system
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
The TSIMMIS Approach to Mediation: Data Models and Languages
Journal of Intelligent Information Systems - Special issue: next generation information technologies and systems
Answering recursive queries using views
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Context interchange: new features and formalisms for the intelligent integration of information
ACM Transactions on Information Systems (TOIS)
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Scaling Access to Heterogeneous Data Sources with DISCO
IEEE Transactions on Knowledge and Data Engineering
Information Integration Using Logical Views
ICDT '97 Proceedings of the 6th International Conference on Database Theory
Querying Heterogeneous Information Sources Using Source Descriptions
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Ontology-Based Integration of XML Web Resources
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Towards heterogeneous multimedia information systems: the Garlic approach
RIDE '95 Proceedings of the 5th International Workshop on Research Issues in Data Engineering-Distributed Object Management (RIDE-DOM'95)
The INFOMIX system for advanced integration of incomplete and inconsistent data
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Consistent query answering under key and exclusion dependencies: algorithms and experiments
Proceedings of the 14th ACM international conference on Information and knowledge management
Ontology Matching
Tractable Reasoning and Efficient Query Answering in Description Logics: The DL-Lite Family
Journal of Automated Reasoning
On the update of description logic ontologies at the instance level
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
On the approximation of instance level update and erasure in description logics
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Query rewriting and answering under constraints in data integration systems
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Consistent query answering over description logic ontologies
RR'07 Proceedings of the 1st international conference on Web reasoning and rule systems
Journal on data semantics X
BioFuice: mapping-based data integration in bioinformatics
DILS'06 Proceedings of the Third international conference on Data Integration in the Life Sciences
Conceptual Modeling for Data Integration
Conceptual Modeling: Foundations and Applications
Semantic scout: making sense of organizational knowledge
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
A semantic privacy-preserving model for data sharing and integration
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Top-k retrieval for ontology mediated access to relational databases
Information Sciences: an International Journal
A Logic-based Computational Method for the Automated Induction of Fuzzy Ontology Axioms
Fundamenta Informaticae - Special Issue on the Italian Conference on Computational Logic: CILC 2011
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The goal of data integration is to provide a uniform access to a set of heterogeneous data sources, freeing the user from the knowledge about where the data are, how they are stored, and how they can be accessed. One of the outcomes of the research work carried out on data integration in the last years is a clear conceptual architecture, comprising a global schema, the source schema, and the mapping between the source and the global schema. In this paper, we present a comprehensive approach to, and a complete system for, ontology-based data integration. In this system, the global schema is expressed in terms of a TBox of the tractable Description Logics ${\textit{DL-Lite}_{\mathcal A}}$, the sources are relations, and the mapping language allows for expressing GAV sound mappings between the sources and the global schema. The mapping language has specific mechanisms for addressing the so-called impedance mismatch problem, arising from the fact that, while the data sources store values, the instances of concepts in the ontology are objects. By virtue of the careful design of the various languages used in our system, answering unions of conjunctive queries can be done through a very efficient technique (LogSpacewith respect to data complexity) which reduces this task to standard SQL query evaluation. We also show that even very slight extensions of the expressive abilities of our system lead beyond this complexity bound.