Paper Info
Title
An Analysis of the Origin of Ontology Mismatches on the Semantic Web
Abstract
Despite the potential of domain ontologies to provide consensual representations of domain-relevant knowledge, the open, distributed and decentralized nature of the Semantic Web means that individuals will rarely, if ever, countenance a common set of terminological and representational commitments during the ontology design process. More often than not, differences between ontologies are likely to occur, and this is the case even when the ontologies describe identical or overlapping domains of interest. Differences between ontologies are often referred to as ontology mismatches and there is an extensive research literature geared towards the technology-mediated reconciliation of such mismatches. Our approach in the current paper is not to comment on the relative merits or demerits of the various technological solutions that could be used to resolve ontological differences; rather, we aim to explore the reasons why such differences may arise in the first place. In addition to a review of the various factors that contribute to ontology mismatches on the Semantic Web, we also discuss a number of focus areas for future research in this area. An improved understanding of the origins of ontology mismatches will, we argue, complement existing research into semantic integration techniques. In particular, by understanding more about the complex cognitive, epistemic and socio-cultural factors associated with the ontology development process, we may be able to develop knowledge acquisition and modeling tools/techniques that attenuate the impact of ontology mismatches for large-scale information sharing and data integration on the Semantic Web.
Year
DOI
Venue
2008
10.1007/978-3-540-87696-0_13
EKAW
Keywords
Field
DocType
domain ontology,extensive research literature,ontology development process,ontology mismatches,data integration,ontology design process,semantic web,domain-relevant knowledge,existing research,semantic integration,ontology alignment,owl,ontology,data integrity,human cognition
Ontology (information science),Ontology alignment,Ontology-based data integration,Data mining,Process ontology,Computer science,Knowledge management,OWL-S,Suggested Upper Merged Ontology,Upper ontology,Ontology components
Conference
Volume
ISSN
Citations 
5268
0302-9743
4
PageRank 
References 
Authors
0.55
7
2
Name
Order
Citations
PageRank
Paul Smart111111.48
Paula C. Engelbrecht2202.05