Title :
Ontology-oriented Petri Net Model of Semantics Service Composition
Author :
Yang, Xiaoping ; Zhou, Xiangbing
Author_Institution :
Coll. of Inf. Technol., Sichuan Normal Univ., Chengdu
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;
Conference_Titel :
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3543-2
DOI :
10.1109/WKDD.2009.234
