Addressing the Challenges of Aggregational and Temporal Ontological Heterogeneity
MIT Sloan Research Paper No. 4570-05
CISL Working Paper No. 2005-11
13 Pages Posted: 18 Jan 2006
Date Written: November 2005
Abstract
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
Do you have negative results from your research you’d like to share?
Recommended Papers
-
Context Interchange as a Scalable Solution to Interoperating Amongst Heterogeneous Dynamic Services
-
Global Comparison Aggregation Services
By Hongwei (harry) Zhu, Stuart Madnick, ...
-
Reasoning About Temporal Context Using Ontology and Abductive Constraint Logic Programming
By Hongwei (harry) Zhu, Stuart Madnick, ...
-
Improving Data Quality Through Effective Use of Data Semantics (Dke)
-
Effective Data Integration in the Presence of Temporal Semantic Conflicts
By Hongwei (harry) Zhu, Stuart Madnick, ...
-
Representation and Reasoning About Changing Semantics in Heterogeneous Data Sources
By Hongwei (harry) Zhu, Stuart Madnick, ...
-
Information Integration for Counter Terrorism Activities: The Requirement for Context Mediation
By Nazli Choucri, Stuart Madnick, ...
-
The Interplay of Web Aggregation and Regulations (Lawtech)
By Hongwei (harry) Zhu, Stuart Madnick, ...
-
A Lightweight Ontology Approach to Scalable Interoperability
-
Context Mediation Demonstration of Counter-Terrorism Intelligence Integration
By Stuart Madnick, Allen Moulton, ...