Cyc: toward programs with common sense
Communications of the ACM
Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Semantic vs. structural resemblance of classes
ACM SIGMOD Record
Semantic similarity relations and computation in schema integration
Data & Knowledge Engineering
Query reformulation for dynamic information integration
Journal of Intelligent Information Systems - Special issue on intelligent integration of information
The WHIPS prototype for data warehouse creation and maintenance
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
The Carnot Heterogeneous Database Project: Implemented Applications
Distributed and Parallel Databases
Using linguistic knowledge in view integration: toward a third generation of tools
Data & Knowledge Engineering - Special issue: natural language for data bases (workshop 1996)
Your mediators need data conversion!
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Fundamentals of Data Warehouses
Fundamentals of Data Warehouses
IEEE Transactions on Knowledge and Data Engineering
Flexible Relation: An Approach for Integrating Data from Multiple, Possibly Inconsistent Databases
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Querying Heterogeneous Information Sources Using Source Descriptions
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Information Integration: Conceptual Modeling and Reasoning Support
COOPIS '98 Proceedings of the 3rd IFCIS International Conference on Cooperative Information Systems
Using Conceptual Graph Theory to Support Schema Integration
ER '93 Proceedings of the 12th International Conference on the Entity-Relationship Approach: Entity-Relationship Approach
Data Warehouse Schema and Instance Design
ER '98 Proceedings of the 17th International Conference on Conceptual Modeling
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
An Ontology-Based Framework for Generating and Improving Database Design
NLDB '02 Proceedings of the 6th International Conference on Applications of Natural Language to Information Systems-Revised Papers
Lattice-Structured Domains, Imperfect Data and Inductive Queries
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
ASM-based design of data warehouses and on-line analytical processing systems
Journal of Systems and Software - Special issue: Quality software
View integration and cooperation in databases, data warehouses and web information systems
Journal on Data Semantics IV
Ontology creation: extraction of domain knowledge from web documents
ER'05 Proceedings of the 24th international conference on Conceptual Modeling
Flexible and customizable NL representation of requirements for ETL processes
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
Complete Conceptual Schema Algebras
Fundamenta Informaticae
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Multi-sources information systems, such as data warehouse systems, involve heterogeneous sources. In this paper, we deal with the semantic heterogeneity of the data instances. Problems may occur when confronting sources, each time different level of denominations have been used for the same value, e.g. "vermilion" in one source, and "red" in an other. We propose to manage this semantic heterogeneity by using a linguistic dictionary. "Semantic operators" allow a linguistic flexibility in the queries, e.g. two tuples with the values "red" and "vermilion" could match in a semantic join on the "color" attribute. A particularity of our approach is it states the scope of the flexibility by defining classes of equivalent values by the mean of "priority nodes". They are used as parameters for allowing the user to define the scope of the flexibility in a very natural manner, without specifying any distance.