- From: Yuji Sakata <sakatayu@nttdata.co.jp>
- Date: Mon, 02 Feb 2004 19:09:20 +0900
- To: "Nicola Dragoni" <dragoni@cs.unibo.it>, public-sws-ig@w3.org
>I'm beginning to work on my Ph.D. Thesis which concerns the automatic >discovery and composition of Semantic Web Services. >I know works which use AI planning techniques to address the automatic >composition problem. Does anyone know of work that addresses this issue >and that does not use AI planning techniques? Nicola, I'm a Web services developer and also a newcomer in semantic web, AI and services composition technology. I think experts in this ML will answer your question in detail. So please ask you and experts a question from a different point of view. I think AI has achieved great success in planning. But it looks like practical use of AI planning is not spread as a method for composing program or component. (Sorry if just a shortage of my knowledge) Experts in Semantic Web Services ML look like conclude that AI planning will be useful for composing web services. Please teach me what are the characteristics of web services which practically enable AI planning to compose a service process, though it is fairy difficult to compose programs or components to achieve a requirement. In my humble opinion, 1. higher abstraction of the functionality of service than primitive codes or components. 2. useful standards are fixed like XML, SOAP, WSDL,RDF..., though previous program language are components are both proprietary. 3. 'just' increasing actual requirements for dynamic service composing in the intra/internet, which are motivated from a decentralized services environment. There was no need for run-time composition and was just a need for design-time composition. I think "1" is the most important characteristic. Thanks for your opinion. Regards, ---------------------------------------------- NTT Data Corporation Yuji Sakata E-Mail: sakatayu@nttdata.co.jp ----------------------------------------------
Received on Monday, 2 February 2004 05:12:04 UTC