Addressing the Challenges of Aggregational and Temporal Ontological Heterogeneity

MIT Sloan Research Paper No. 4570-05

CISL Working Paper No. 2005-11

13 Pages Posted: 18 Jan 2006

See all articles by Stuart Madnick

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

Date Written: November 2005

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.

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

Suggested Citation

Madnick, Stuart E. and Zhu, Hongwei, 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: https://ssrn.com/abstract=876954 or http://dx.doi.org/10.2139/ssrn.876954

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 )

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

Old Dominion University ( email )

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

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

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