Paper Info
Title
IF-Map: An ontology-mapping method based on information-flow theory
Abstract
In order to tackle the need of sharing knowledge within and across organisational boundaries, the last decade has seen researchers both in academia and industry advocating for the use of ontologies as a means for providing a shared understanding of common domains. But with the generalised use of large distributed environments such as the World Wide Web came the proliferation of many different ontologies, even for the same or similar domain, hence setting forth a new need of sharing-that of sharing ontologies. In addition, if visions such as the Semantic Web are ever going to become a reality, it will be necessary to provide as much automated support as possible to the task of mapping different ontologies. Although many efforts in ontology mapping have already been carried out, we have noticed that few of them are based on strong theoretical grounds and on principled methodologies. Furthermore, many of them are based only on syntactical criteria. In this paper we present a theory and method for automated ontology mapping based on channel theory, a mathematical theory of semantic information flow. We successfully applied our method to a large-scale scenario involving the mapping of several different ontologies of computer-science departments from various UK universities.
Year
DOI
Venue
2003
10.1007/978-3-540-39733-5_5
Lecture Notes in Computer Science
Keywords
Field
DocType
information flow,distributed environment,semantic web,ontology mapping,world wide web
Ontology (information science),Ontology,Semantic integration,World Wide Web,Process ontology,Computer science,Semantic Web,IDEF5,Formal concept analysis,Ontology components
Journal
Volume
ISSN
Citations 
2800
0302-9743
114
PageRank 
References 
Authors
5.86
21
2
Search Limit
100114
Name
Order
Citations
PageRank
Yannis Kalfoglou1105774.48
W. Marco Schorlemmer2111385.18