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Representing and Reasoning about Mappings between Domain Models (2002)
| Content Provider | CiteSeerX |
|---|---|
| Author | Madhavan, Jayant Domingos, Pedro Halevy, Alon Y. Bernstein, Philip A. |
| Description | Proceedings of the Eighteenth National Conference on Artificial Intelligence(pp.80-86 |
| Abstract | Mappings between disparate models are fundamental to any application that requires interoperability between heteroge-neous data and applications. Generating mappings is a labor-intensive and error prone task. To build a system that helps users generate mappings, we need an explicit representation of mappings. This representation needs to have well-defined semantics to enable reasoning and comparison between map-pings. This paper first presents a powerful framework for defining languages for specifying mappings and their associ-ated semantics. We examine the use of mappings and identify the key inference problems associated with mappings. These properties can be used to determine whether a mapping is ad-equate in a particular context. Finally, we consider an in-stance of our framework for a language representing map-pings between relational data. We present sound and com-plete algorithms for the corresponding inference problems. 1 |
| File Format | |
| Publisher Date | 2002-01-01 |
| Access Restriction | Open |
| Subject Keyword | Corresponding Inference Problem Disparate Model Particular Context Com-plete Algorithm Key Inference Problem Domain Model Heteroge-neous Data Relational Data Well-defined Semantics Error Prone Task User Generate Mapping Powerful Framework Explicit Representation Associ-ated Semantics |
| Content Type | Text |
| Resource Type | Proceeding Conference Proceedings Article |
