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Improving Data Quality Through Effective Use of Data Semantics (DKE)

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

October 2005

CISL Working Paper No. 2005-08
MIT Sloan Working Paper No. 4558-05

Data quality issues have taken on increasing importance in recent years. In our research, we have discovered that many data quality problems are actually data misinterpretation problems - that is, problems caused by heterogeneous data semantics. In this paper, we first identify semantic heterogeneities that, when not resolved, often cause data quality problems. We discuss the especially challenging problem of aggregational ontological heterogeneity, which concerns how complex entities and their relationships are aggregated. Then we illustrate how COntext INterchange (COIN) technology can be used to capture data semantics and reconcile semantic heterogeneities, thereby improving data quality.

Number of Pages in PDF File: 20

Keywords: Data Quality, Data Semantics, Semantic Heterogeneity, Ontology, Context

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Date posted: October 20, 2005  

Suggested Citation

Madnick, Stuart and Zhu, Hongwei (Harry), Improving Data Quality Through Effective Use of Data Semantics (DKE) (October 2005). ; MIT Sloan Working Paper No. 4558-05. Available at SSRN: https://ssrn.com/abstract=825650 or http://dx.doi.org/10.2139/ssrn.825650

Contact Information

Stuart E. Madnick (Contact Author)
Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )
Cambridge, MA 02142
United States
617-253-6671 (Phone)
617-253-3321 (Fax)

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
Feedback to SSRN

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