Title :
Service Enabler: A Software Agent using Lifecycle Data to Enable Knowledge-Intensive Services
Author :
Yang, Xiaoyu ; Moore, Philip ; Pu, Jun-Sheng
Author_Institution :
Univ. of Cambridge, Cambridge
Abstract :
In this paper, a software agent, namely, service enabler is proposed. The service enabler runs on a backend server and connects to each Intelligent Data Unit of a set of similar products to receive acquired dynamic data during a product lifecycle. It can actively use lifecycle data to help creation and delivery of product related knowledge-intensive services. It has been demonstrated in large scale field trials that product related knowledge-intensive services can be delivered through the use of service enabler. The service enabler proposed within this research study can open new horizons for product design (e.g. intelligent product), and contribute to the exploration of product lifecycle management.
Keywords :
inference mechanisms; intelligent manufacturing systems; knowledge acquisition; product design; product development; software agents; backend server; inference engine; intelligent data unit; knowledge base; knowledge extraction; product design; product lifecycle management; product related knowledge-intensive services; service enabler software agent; Computer architecture; Data mining; Design engineering; Engines; Intelligent agent; Intelligent sensors; Intserv networks; Power engineering and energy; Production; Software agents;
Conference_Titel :
Semantics, Knowledge and Grid, Third International Conference on
Conference_Location :
Shan Xi
Print_ISBN :
0-7695-3007-9
Electronic_ISBN :
978-0-7695-3007-9
DOI :
10.1109/SKG.2007.135
