Paper Info
Title
High-Precision Service Matching Based on Formal Semantic Description
Abstract
Service matching is a key research area in Web Service Application. Most existing matching methods gain low precision so that they are not satisfied to use for automatic service discovery in various applications, such as dynamic and automatic service substitution. To solve the problem, this paper proposes a high-precision matching method based on the formal semantic description of services. In our method, we use input, output and the internal logic process to clarify the function of the service. Domain Conception Ontology is used to describe the input and output. SOFL and Domain Process Ontology are introduced to describe the internal logic process. Based on these descriptions, Domain Ontology matching, IO matching and Process matching are conducted successively to give out the high-precision matching result. We define the matching rules and give a case study to illustrate the matching method.
Year
DOI
Venue
2010
10.1109/APSCC.2010.79
APSCC
Keywords
Field
DocType
domain process ontology,matching method,high-precision matching method,web services,high-precision matching result,internal logic process,existing matching method,io matching,high-precision service matching,web service application,matching rule,service match,domain conception ontology,domain ontology matching,ontologies (artificial intelligence),formal semantic description,sofl,matching rules,service matching,automatic service discovery,process matching,high-precision service,process control,engines,service discovery,cognition,formal semantics,ontologies,input output,semantics,satisfiability,strontium,web service
Ontology (information science),Ontology,Ontology alignment,Data mining,Process ontology,Optimal matching,Computer science,Service discovery,Web service,Semantics
Conference
ISBN
Citations 
PageRank 
978-1-4244-9396-8
0
0.34
References 
Authors
5
3
Name
Order
Citations
PageRank
Jian Liang113914.55
Fenglin Bu220013.06
Hongming Cai339658.68