Ontology-oriented Petri Net Model of Semantics Service Composition

Author

Yang, Xiaoping ; Zhou, Xiangbing

Author_Institution

Coll. of Inf. Technol., Sichuan Normal Univ., Chengdu

fYear

2009

fDate

23-25 Jan. 2009

Firstpage

932

Lastpage

936

Abstract

In order to solve problems of semantics recognition and information extraction in the process of service composition, we proposed a Petri Net model of semantics service composition based on Ontology. Firstly, which build a described approach of semantics service composition ontology-oriented, and exploits property of WSMO to describe; Secondly,build Petri Net model of semantics service composition, which design grammar detected and semantics validated to implement the model in the process service composition, and apply greed genetic algorithm to optimize the model, which to meet demand of business logic. Finally, in the Aciera Ontology Library(AOL), application and analysis showed that efficiency of service composition is better than tradition method, and implemented function is more precision.

Keywords

Petri nets; Web services; genetic algorithms; information retrieval; ontologies (artificial intelligence); Aciera ontology library; WSMO; Web service modeling ontology; business logic; greed genetic algorithm; information extraction; ontology-oriented Petri net model; semantics recognition; semantics service composition; Algorithm design and analysis; Computer science; Data mining; Design optimization; Educational institutions; Electronic mail; Genetic algorithms; Information technology; Ontologies; Web services; Aciera Ontology Library; Ontology; Petri Nets; Semantics service composition; greed genetic algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on

Conference_Location

Moscow

Print_ISBN

978-0-7695-3543-2

Type

conf

DOI

10.1109/WKDD.2009.234

Filename

4772087