Effective Data Integration in the Presence of Temporal Semantic Conflicts

11 Pages Posted: 13 Apr 2004  

Hongwei (Harry) Zhu

University of Massachusetts Lowell; Massachusetts Institute of Technology (MIT); Old Dominion University

Stuart Madnick

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

Michael Siegel

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

Date Written: February 2004

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 heterogeneities, which have not been addressed by existing research. We propose a solution that is based on extensions to the Context Interchange framework. This approach provides mechanisms for capturing semantics using ontology and temporal context. It also provides a mediation service that automatically resolves semantic conflicts. We show the feasibility of this approach by demonstrating a prototype that implements a subset of the proposed extensions.

Keywords: Context Interchange framework, ontology and temporal context

Suggested Citation

Zhu, Hongwei (Harry) and Madnick, Stuart and Siegel, Michael, Effective Data Integration in the Presence of Temporal Semantic Conflicts (February 2004). MIT Sloan Working Paper No. 4480-04; CISL Working Paper No. 2004-02. Available at SSRN: https://ssrn.com/abstract=529722 or http://dx.doi.org/10.2139/ssrn.529722

Hongwei Zhu

Old Dominion University ( email )

Norfolk, VA 23529
United States
757-683-5175 (Phone)

HOME PAGE: http://www.odu.edu/~hzhu

University of Massachusetts Lowell ( email )

One University Avenue
Lowell, MA 01854
United States

Massachusetts Institute of Technology (MIT) ( email )

Cambridge, MA 02139
United States

HOME PAGE: http://web.mit.edu/~mrzhu

Stuart E. Madnick (Contact Author)

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)

Michael Siegel

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

E53-323
Cambridge, MA 02142
United States
617-253-2937 (Phone)
617-258-7579 (Fax)

Paper statistics

Downloads
122
Rank
189,201
Abstract Views
1,891