Title :
Automated Semantic Web Service Composition Based on Enhanced HTN
Author :
Xiao Yihong ; Zhou Xianzhong ; Huang Xiaopeng
Author_Institution :
Sch. of Manage. & Eng., Nanjing Univ., Nanjing, China
Abstract :
AI planning is considered as the most effective means to compose web services automatically. In this paper, we choose an AI planning method called Hierarchical Task Network (HTN) and extend it to fit for usage of domain knowledge. We describe how HTN planning can be integrated with OWL-S Web Service descriptions, and introduce the system Architecture of a planner that support the service composition based on a set of OWL-S descriptions.
Keywords :
Web services; artificial intelligence; knowledge representation languages; semantic Web; software architecture; AI planning method; OWL-S Web service description; automated semantic Web service composition; enhanced hierarchical task network; system architecture; Books; Compounds; Monitoring; Ontologies; Planning; Web services; HTN; Service Composition; planning;
Conference_Titel :
Service Oriented System Engineering (SOSE), 2010 Fifth IEEE International Symposium on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-7327-4
DOI :
10.1109/SOSE.2010.48