CISL Working Paper No. 2005-11
13 Pages Posted: 18 Jan 2006
Date Written: November 2005
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: Suggested Citation
Madnick, Stuart and Zhu, Hongwei (Harry), 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