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Cross-Organizational Data Quality and Semantic Integrity: Learning and Reasoning about Data Semantics with Context Interchange MediationAllen MoultonMassachusetts Institute of Technology (MIT) Stuart MadnickMassachusetts Institute of Technology (MIT) - Sloan School of Management Michael SiegelMassachusetts Institute of Technology (MIT) - Sloan School of Management October 2001 MIT Sloan Working Paper No. 4183-01 Abstract: We use a context interchange mediation approach for detecting and resolving data quality and semantic integrity conflicts in information exchanged across organizational boundaries. Context models draw on a domain ontology to explain how source and receiver data models implement general principles of the subject domain. Using the declarative knowledge from the domain ontology and context models, the mediator writes a query plan meeting receiver semantic requirements from autonomous, heterogeneous sources. Examples drawn from fixed income securities investments illustrate problems and solutions enabled by context interchange mediation.
Number of Pages in PDF File: 4 working papers seriesDate posted: November 14, 2001Suggested CitationContact Information
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