Addressing the Challenges of Aggregational and Temporal Ontological Heterogeneity

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.

Number of Pages in PDF File: 13

Keywords: Data Semantics, Semantic Heterogeneity, Aggregation, Temporal, Ontology, Context

working papers series