Addressing the Challenges of Aggregational and Temporal Ontological Heterogeneity
Massachusetts Institute of Technology (MIT) - Sloan School of Management
Hongwei (Harry) Zhu
University of Massachusetts Lowell; Massachusetts Institute of Technology (MIT); Old Dominion University
MIT Sloan Research Paper No. 4570-05
CISL Working Paper No. 2005-11
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
Date posted: January 18, 2006
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