Paper Info
Title
A Model for Semantic Service Matching with Leftover and Missing Information
Abstract
One of the challenges of SOA is to deal with service matching which is uncertain and ambiguous. A service requester must be prepared to cope with situations where no required services are found or, on the other hand, multiple matching services are found. The paper proposes a formal model of service matching with incomplete information. The model is defined using set theory and description logics. Fuzzy logic is used to calculate the degrees of semantic matching of services and their ranking. This matching is defined by its type (exact, leftover and missing information) and service functional properties specified by OWL-S. The model is illustrated by example from a case study.
Year
DOI
Venue
2008
10.1109/HIS.2008.70
HIS
Keywords
Field
DocType
missing information,multiple matching service,incomplete information,service requester,service matching,semantic service matching,case study,formal model,service functional property,required service,semantic matching,web services,cognition,set theory,computational modeling,semantic similarity,fuzzy logic,description logic,impedance matching,service discovery,assembly,ontologies,artificial neural networks
Semantic similarity,Data mining,Ranking,Computer science,Fuzzy logic,Description logic,Service discovery,Web service,Complete information,Semantic matching
Conference
Citations 
PageRank 
References 
5
0.56
13
Authors
2
Name
Order
Citations
PageRank
Christian Sánchez151.91
Leonid Sheremetov219828.37