Abstract

http://ssrn.com/abstract=876954
 
 

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Addressing the Challenges of Aggregational and Temporal Ontological Heterogeneity


Stuart Madnick


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

Hongwei (Harry) Zhu


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

November 2005

MIT Sloan Research Paper No. 4570-05
CISL Working Paper No. 2005-11

Abstract:     
In this paper, we first identify semantic heterogeneities that, when not resolved, often cause serious data quality problems. We discuss the especially challenging problems of temporal and aggregational ontological heterogeneity, which concerns how complex entities and their relationships are aggregated and reinterpreted over time. Then we illustrate how the COntext INterchange (COIN) technology can be used to capture data semantics and reconcile semantic heterogeneities in a scalable manner, thereby improving data quality.

Number of Pages in PDF File: 13

Keywords: Data Semantics, Semantic Heterogeneity, Aggregation, Temporal, Ontology, Context

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Date posted: January 18, 2006  

Suggested Citation

Madnick, Stuart and Zhu, Hongwei (Harry), Addressing the Challenges of Aggregational and Temporal Ontological Heterogeneity (November 2005). MIT Sloan Research Paper No. 4570-05; CISL Working Paper No. 2005-11. Available at SSRN: http://ssrn.com/abstract=876954 or http://dx.doi.org/10.2139/ssrn.876954

Contact Information

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)
Hongwei Zhu
University of Massachusetts Lowell ( email )
United States
Massachusetts Institute of Technology (MIT) ( email )
Cambridge, MA 02139
United States
HOME PAGE: http://web.mit.edu/~mrzhu
Old Dominion University ( email )
Norfolk, VA 23529
United States
757-683-5175 (Phone)
HOME PAGE: http://www.odu.edu/~hzhu
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