A comparative analysis of methodologies for database schema integration
ACM Computing Surveys (CSUR)
Modern database systems: the object model, interoperability, and beyond
Modern database systems: the object model, interoperability, and beyond
Understanding and Using Context
Personal and Ubiquitous Computing
Understanding semantic relationships
The VLDB Journal — The International Journal on Very Large Data Bases
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
So Far (Schematically) yet So Near (Semantically)
Proceedings of the IFIP WG 2.6 Database Semantics Conference on Interoperable Database Systems (DS-5)
Semantic and schematic similarities between database objects: a context-based approach
The VLDB Journal — The International Journal on Very Large Data Bases
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Putting context into schema matching
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Journal of Biomedical Informatics
Semi-automatic schema integration in Clio
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
An XML Schema integration and query mechanism system
Data & Knowledge Engineering
Bioinformatics service reconciliation by heterogeneous schema transformation
DILS'07 Proceedings of the 4th international conference on Data integration in the life sciences
Investigating the specifics of contextual elements management: the CEManTIKA approach
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
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Decision-making in healthcare mainly depends on the integration of distributed health information contained in multiple, autonomous and heterogeneous data sources. Many information integration systems have been proposed as a way of offering a concise and uniform view of the distributed data, abstracting out their syntactic, structural and semantic diversities. This paper proposes a context-base schema integration process for a mediator-based information integration system applied to healthcare data sources. The distinguishing feature of this process is to explore and model the contextual information needed for schema-level sense disambiguation in its different steps. This process tackles the semantics of data source schema elements by identifying their meanings and, thereafter, establishing semantic affinities among them. The contextual information is modeled using an ontology-based approach enabling reasoning, reusability and sharing of information.