Paper Info
Title
Semantic Service Discovery Exploiting Efficient Concept Match over Large Amount of Heterogeneous Ontologies
Abstract
Describing profiles of services with ontologies enables semantics-based service publication and discovery. However, there are practical problems in order to achieve ontology-based semantic service discovery in open networked environments. Those are semantic heterogeneity of independently designed ontologies and efficient reasoning over large amount of ontologies. In this paper, we present a concept match over large amount of heterogeneous ontologies. Proposed concept match incorporates ontology mapping repository for efficient sharing of them and conducts reasoning over only bounded amount of ontologies by offloading irrelevant ontologies with the help of ontology caching. We showed that the response time of implemented prototype incorporated with the proposed concept match outperforms that of prototype incorporated with naive concept match that reasons over all previously loaded ontologies.
Year
DOI
Venue
2010
10.1109/CIT.2010.273
CIT
Keywords
Field
DocType
efficient concept match,heterogeneous ontology,efficient sharing,naive concept match,irrelevant ontology,ontology mapping repository,heterogeneous ontologies,semantics-based service publication,bounded amount,semantic service discovery,ontology caching,semantic service discovery exploiting,efficient reasoning,concept match,large amount,ontologies (artificial intelligence),caching,proposed concept match,efficient ontology reasoning,ontologies,cognition,prototypes,chromium,semantics,service discovery,ontology mapping
Ontology (information science),Data mining,Ontology,Semantic integration,Information retrieval,Computer science,IDEF5,Service discovery,Semantic heterogeneity,Semantics
Conference
ISBN
Citations 
PageRank 
978-1-4244-7547-6
0
0.34
References 
Authors
18
2
Name
Order
Citations
PageRank
Dohyun Kim110716.96
Younghee Lee221.39