Signature matching: a tool for using software libraries
ACM Transactions on Software Engineering and Methodology (TOSEM)
Specification matching of software components
SIGSOFT '95 Proceedings of the 3rd ACM SIGSOFT symposium on Foundations of software engineering
Larks: Dynamic Matchmaking Among Heterogeneous Software Agents in Cyberspace
Autonomous Agents and Multi-Agent Systems
The Web Service Discovery Architecture
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Composing Web services on the Semantic Web
The VLDB Journal — The International Journal on Very Large Data Bases
Flexible Interface Matching for Web-Service Discovery
WISE '03 Proceedings of the Fourth International Conference on Web Information Systems Engineering
A grid service discovery matchmaker based on ontology description
EuroWeb'02 Proceedings of the 2002 international conference on EuroWeb
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An essential problem of automatic Web service planning is, how to compose the services together with minimal human effort. Most composition mechanism depends on relevant feedback method to ask the user to change the request or to accept insufficient services when there is no available services for the user (agent)'s request. This paper focuses on the point that even though there is no available autonomous services that satisfy the user's request, the planner tries to find out a way that can satisfy the request through extended service planning with available services. The extended service planning mechanism consists of two parts. First, if the request is not entitled to receive a service, the planner tries to find the complement services for the request so that the request can get the desired service. Secondly, if the request is partially satisfied by a service, then the planner tries to find the complement service that can complete the requester's service requirement. The extended service planning mechanism is based on the service matching cases between service request of user (agent) and the service description of provider that are described in semantic service ontology, e.g., DAML-S Service Profile Ontology. The service matching cases are derived from the Plugin match and the non-Plugin match with the in-/out-part parameters. This paper presents a new mechanism for extended service planning process that can enhance autonomous semantic Web service.