Conference proceeding
Maintaining semantic mappings between database schemas and ontologies
SEMANTIC WEB, ONTOLOGIES AND DATABASES, v 5005, pp 138-152
01 Jan 2008
Abstract
There is a growing need to define a semantic mapping from a database schema to an ontology. Such a mapping is an integral part of the data integration systems that use an ontology as a unified global view. However, both ontologies and database schemas evolve over time in order to accommodate updated information needs. Once the ontology and the database schema associated with a semantic mapping evolved, it is necessary and important to maintain the validity of the semantic mapping to reflect the new semantics in the ontology and the schema. In this paper, we propose a formulation of the mapping maintenance problem and outline a possible solution using illustrative examples. The main points of this paper are: (1) to differentiate the semantic mapping maintenance problem from the schema mapping adaptation problem which only adapts mappings when schemas change; (2) to develop an approach for specifying the validity of a semantic mapping in terms of two-way legal instances translation between two models; (3) to explore the approach of using simple correspondences to capture changes to ontologies/schemas; and (4) to sketch a solution using examples.
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Details
- Title
- Maintaining semantic mappings between database schemas and ontologies
- Creators
- Yuan An - Drexel UniversityThodoros Topaloglou - University of Toronto
- Contributors
- Christophides (Editor)M Collard (Editor)C Gutierrez (Editor)
- Publication Details
- SEMANTIC WEB, ONTOLOGIES AND DATABASES, v 5005, pp 138-152
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Nature
- Number of pages
- 3
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000258248500008
- Scopus ID
- 2-s2.0-50249173951
- Other Identifier
- 991019170153104721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Theory & Methods