Survey of Uncertain Schema Matching
Jing Feng
Abstract
Jing Feng
Abstract
Schema matching is one of the research directions of data integration and semantic Web.Its work is to disco-ver correspondence of schema elements using heuristic information.We proposed a new classification of schema matching based on the way that heuristic information is processed.An overview of composed schema matching was given according to different aggregation methods of schema matching results.Uncertainty is the inherent character of schema matching.We surveyed data models modeling uncertainty of schema matching,and on this basis we introduced uncertain schema matching.At last we prospected the research directions.
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Schema matching is one of the research directions of data integration and semantic Web.Its work is to disco-ver correspondence of schema elements using heuristic information.We proposed a new classification of schema matching based on the way that heuristic information is processed.An overview of composed schema matching was given according to different aggregation methods of schema matching results.Uncertainty is the inherent character of schema matching.We surveyed data models modeling uncertainty of schema matching,and on this basis we introduced uncertain schema matching.At last we prospected the research directions.
Key concepts: Schema matching, Computer science, Schema (genetic algorithms), Star schema, Semi-structured model, Conceptual schema, Information schema, Schema migration