Reconciliation of Temporal Semantic Heterogeneity in Evolving Information Systems

17 Pages Posted: 18 Sep 2008

See all articles by Hongwei (Harry) Zhu

Hongwei (Harry) Zhu

University of Massachusetts Lowell

Stuart Madnick

Massachusetts Institute of Technology (MIT) - Sloan School of Management

Date Written: May 1, 2008

Abstract

The change in meaning of data over time poses significant challenges for the use of that data. These challenges exist in the use of an individual data source and are further compounded with the integration of multiple sources. In this paper, we identify three types of temporal semantic heterogeneity. We propose a solution based on extensions to the Context Interchange framework, which has mechanisms for capturing semantics using ontology and temporal context. It also provides a mediation service that automatically reconciles semantic conflicts. We show the feasibility of this approach with a prototype that implements a subset of the proposed extensions.

Keywords: temporal context, semantic heterogeneity, ontology, logic programming

Suggested Citation

Zhu, Hongwei and Madnick, Stuart E., Reconciliation of Temporal Semantic Heterogeneity in Evolving Information Systems (May 1, 2008). MIT Sloan Research Paper No. 4715-08, Available at SSRN: https://ssrn.com/abstract=1269032 or http://dx.doi.org/10.2139/ssrn.1269032

Hongwei Zhu (Contact Author)

University of Massachusetts Lowell ( email )

One University Avenue
Lowell, MA 01854
United States

Stuart E. Madnick

Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )

E53-321
Cambridge, MA 02142
United States
617-253-6671 (Phone)
617-253-3321 (Fax)

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