Representation and reasoning about changing semantics in heterogeneous data sources

Authors:
Hongwei Zhu;Stuart E. Madnick;Michael D. Siegel
Affiliations:
MIT Sloan School of Management, MA;MIT Sloan School of Management, MA;MIT Sloan School of Management, MA
Venue:
SWDB'04 Proceedings of the Second international conference on Semantic Web and Databases
Year:
2004

Citing 11
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Abstract

Changes of semantics in data sources further complicate the semantic heterogeneity problem. We identify four types of semantic heterogeneities related to changing semantics and present a solution based on an extension to the Context Interchange (COIN) framework. Changing semantics is represented as multi-valued contextual attributes in a shared ontology; however, only a single value is valid over a certain time interval. A mediator, implemented in abductive constraint logic programming, processes the semantics by solving temporal constraints for single-valued time intervals and automatically applying conversions to resolve semantic differences over these intervals. We also discuss the scalability of the approach and its applicability to the Semantic Web.