A Behavior Centric Service Discovery Model for Building Knowledge Advantage Machine
Knowledge advantage Machine(KaM)is an advanced system for knowledge exploitation.In this paper,we propose a Behavior Centric Service Discovery model,which helps one or more knowledge-workers to discover useful knowledge objects dubbed JANs,and then link the JANs into a personal knowledge and a group knowledge network.We construct JAN as a service to semantically present three categories of service behavior: expected service behavior that presents what requestor expects it to serve; actual service behavior that presents how it offers its service; and quality evaluation that presents whether its service behavior is consistent with requestors expectation by checking conformance.On the basis of JAN linking,we build a KaM discovery Agent prototype to implement JAN discovery and linking.This is illustrated using an academic research scenario.Experimental results show that the proposed method is feasible and effective.
Semantic Web Service Service Behavior Service Discovery Ontology Knowledge advantage Machine
Ming Qu Yuchun Chang Yenumula V.Reddy Sumitra Reddy
College of Computer Science and Technology,Jilin University;College of Electronic Science and Engine College of Electronic Science and Engineering,Jilin University Changchun,China Lane Department of Computer Science and Electronic Engineering,West Virginia University Morgantown,U
国际会议
重庆
英文
630-634
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）