13 Pages Posted: 20 Aug 2003
Date Written: August 2003
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 with data semantics. In this paper, we first illustrate some examples of these problems and then introduce a particular semantic problem that we call "corporate householding." We stress the importance of "context" to get the appropriate answer for each task. Then we propose an approach to handle these tasks using extensions to the COntext INterchange (COIN) technology for knowledge storage and knowledge processing.
Keywords: Data Quality, Data Semantics, Corporate Householding, COntext INterchange, Knowledge Management
Suggested Citation: Suggested Citation
Madnick, Stuart, Oh, So That is What you Meant! The Interplay of Data Quality and Data Semantics (August 2003). MIT Sloan Working Paper No. 4420-03; CISL Working Paper No. 2003-04. Available at SSRN: https://ssrn.com/abstract=436805 or http://dx.doi.org/10.2139/ssrn.436805