Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/SOSE.2010.48 | SoSE |
Keywords | Field | DocType |
automated semantic web service,hierarchical task network,owl-s web service description,ai planning method,htn planning,enhanced htn,effective mean,ai planning,system architecture,service composition,domain knowledge,owl-s description,software architecture,web service,artificial intelligence,web services,semantic web,ontologies,htn,planning | Ontology (information science),World Wide Web,Domain knowledge,Software engineering,Hierarchical task network,Computer science,Semantic Web,Software architecture,Systems architecture,Web service,Automated planning and scheduling,Distributed computing | Conference |
Citations | PageRank | References |
1 | 0.36 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yihong Xiao | 1 | 4 | 1.19 |
| Xianzhong Zhou | 2 | 439 | 27.01 |
| Xiaopeng Huang | 3 | 1 | 1.37 |