Paper Info
Title
Progressive ontology alignment for meaning coordination: an information-theoretic foundation
Abstract
We elaborate on the mathematical foundations of the meaning coordination problem that agents face in open environments. We investigate to which extend the Barwise-Seligman theory of information flow provides a faithful theoretical description of the partial semantic integration that two agents achieve as they progressively align their underlying ontologies through the sharing of tokens, such as instances. We also discuss the insights and practical implications of the Barwise-Seligman theory with respect to the general meaning coordination problem.
Year
DOI
Venue
2005
10.1145/1082473.1082586
AAMAS
Keywords
Field
DocType
partial semantic integration,open environment,barwise-seligman theory,general meaning coordination problem,practical implication,faithful theoretical description,meaning coordination problem,information-theoretic foundation,mathematical foundation,information flow,underlying ontology,progressive ontology alignment,semantic integration,ontologies,semantic interoperability,ontology alignment
Ontology (information science),Semantic integration,Coordination game,Ontology alignment,Ontology-based data integration,Information flow (information theory),Information retrieval,Computer science,Semantic interoperability,Artificial intelligence,Natural language processing,Machine learning
Conference
ISBN
Citations 
PageRank 
1-59593-093-0
14
1.13
References 
Authors
6
2
Name
Order
Citations
PageRank
W. Marco Schorlemmer1111385.18
Yannis Kalfoglou2105774.48