Paper Info
Title
Information-Flow-Based Ontology Mapping
Abstract
As ontologies become ever more important for semantically-rich information exchange and a crucial element for supporting knowledge sharing in a large distributed environment, like the Web, the demand for sharing them increases accordingly. One way of achieving this ambitious goal is to provide mechanised ways for mapping and merging ontolo- gies. This has been the focus of recent research in knowledge engineering. However, we observe a dearth of mapping methods that are based on a strong theoretical ground, are easy to replicate in different settings, and use semantically- rich mechanisms for performing ontology mapping. In this paper, we aim to fill in these gaps with a method we propose for Information-Flow-based ontology mapping. Our method draws on the proven theoretical ground of In- formation Flow and channel theory, and we provide a systematic and mechanised methodology for deploying it on a distributed environment to perform ontology mapping among a variety of different ontologies. We applied our method at a large-scale experiment of mapping five ontologies modelling Computer Science departments in five UK Univer- sities. We elaborate on a theory for ontology mapping, analyse the mechanised steps of applying it, and assess its ontology mapping results.
Year
DOI
Venue
2002
10.1007/3-540-36124-3_72
Conference on Cooperative Information Systems
Keywords
Field
DocType
mapping method,ontology mapping,different setting,mechanised step,information-flow-based ontology mapping,mechanised methodology,:,channel theory,different ontology,mechanised way,ontology mapping result,knowledge engineering,information exchange,distributed environment,difference set,information flow
Ontology (information science),Data mining,Ontology,Ontology-based data integration,Semantic integration,Process ontology,Computer science,Formal ontology,Suggested Upper Merged Ontology,Upper ontology
Conference
Volume
ISSN
ISBN
2519
0302-9743
3-540-00106-9
Citations 
PageRank 
References 
26
3.02
15
Authors
2
Name
Order
Citations
PageRank
Yannis Kalfoglou1105774.48
W. Marco Schorlemmer2111385.18