Models for Quality Management in Schema Matching with Applications to Medicine
| Manager(s) | |
|---|---|
| Research field | Model Management |
| Funding | Umbrella Cooperation Programme |
| Start date | 2009/07/01 |
| End date | 2010/06/30 |
| Status | running |
Schema matching is the task of providing correspondences between concepts describing the meaning of data in various heterogeneous, distributed data sources. Schema matching is recognized to be one of the basic operations required by the process of data and schema integration and thus has a great impact on its outcome. As such, schema matching has impact on numerous modern applications. Somewhat surprisingly, up until recently there was little fundamental research that can lead to a theoretically rigorous infrastructure for further development of algorithmic solutions to the problem of schema matching. Having a theoretical basis in place, one could start and design a set of algorithms to support the design of schema matching, enhancing user effectiveness.
In this pilot project, which is funded by the Umbrella Cooperation Programme, Informatik 5 cooperates with Avigdor Gal (Technion Haifa, Israel) to investigate the following open fundamental research question: What qualifies as a good schema matcher? Most research work offer empirical, explanatory analysis, testing their proposed schema matchers using common a posteriori metrics such as recall and precision. An interesting question is whether one can suggest a priori measures to identify a good schema matcher for a specific problem instance. A positive answer to this question would allow the use of schema matching and data integration even if the outcome is somewhat uncertain. Two applications in the area of medicine of such an outcome are online monitoring of patient's health and personal medical records.
Partners
Avigdor Gal, Technion (Israel Institute of Technology), Haifa, Israel
Theses
- Selection and Configuration of Schema Matchers (Running)
- Discovery of Semantic Relationships in Schema Matching (2010)
- Ranking and Filtering of Schema Matches (2010)
- Divide and Conquer for Large Schema Matching in GeRoMeSuite (2010)
- Implementation of an Algorithm and a Data Structure for Efficient String Similarity Search (2010)
- Using Background Knowledge in Schema Matching and Ontology Alignment (2010)
- A Semi Automatic Mapping System for Building and Improving a CCTS-Based Canonical Format (2009)
Publications
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Semantic Matching of Ontologies
Christoph Quix, Marko Pascan, Pratanu Roy, David Kensche
Published in Fifth International Workshop on Ontology Matching (OM-2010), Shanghai, China, 2010
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An integrated matching system: GeRoMeSuite and SMB - Results for OAEI 2010
Christoph Quix, Avigdor Gal, Tomer Sagi, David Kensche
Published in Fifth International Workshop on Ontology Matching (OM-2010), Shanghai, China, 2010
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Model Management
Published in M. Tamer Özsu, Ling Liu (eds.): Encyclopedia of Database Systems. Springer, 2009.

