Industrial application integration using the unification approach to agent-enabled semantic SOA

被引:13
作者
Contreras, Miguel [1 ]
Sheremetov, Leonid [1 ]
机构
[1] Inst Mexicano Petr, Mexico City 07730, DF, Mexico
关键词
application integration; service-oriented architecture; intelligent agents; agent platforms; oil well drilling;
D O I
10.1016/j.rcim.2007.09.009
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Within the enterprise, information infrastructure as the mean to bring together different software applications is the key component to enable cooperation and information and knowledge exchange in an open-distributed environment. The paper addresses the issues of industrial application integration in business processes using agent-enabled service-oriented architectures (SOA). In this paper, we show that agent-enabled SOA can play an important role for service integration. Our framework combines Web services (WS) and intelligent agent technologies orchestrated by a business process management system. This framework looks for unification of agent and WS service models, is grounded in a semantic SOA of an agent platform and is supported by the Component Agent Platform Over NET Framework agent platform tools. We describe the architecture and illustrate the approach by an industrial application scenario from petroleum wells' drilling. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:680 / 695
页数:16
相关论文
共 36 条
[1]  
ACKLAND R, 2005, LNCS, V3729, P818
[2]  
Bellifemine F, 2001, SOFTWARE PRACT EXPER, V31, P103, DOI 10.1002/1097-024X(200102)31:2<103::AID-SPE358>3.0.CO
[3]  
2-O
[4]  
BROWN GW, 2004, INTEL TECHNOL J
[5]  
Cohen P. R., 1995, Empirical Methods for Artificial Intelligence
[6]  
CONTRERAS M, 2004, J OBJECT TECHNOLOGY, V3, P5, DOI DOI 10.5381/JOT.2004.3.9.A1
[7]  
COWAN D, 2002, BLUEJADE SERVICE MAN
[8]   Research challenges and perspectives of the semantic Web [J].
Euzenat, J .
IEEE INTELLIGENT SYSTEMS, 2002, 17 (05) :86-88
[9]  
*FDN INT PHYS AG, FIPA SPEC
[10]   Development of an expert system for underbalanced drilling using fuzzy logic [J].
Garrouch, AA ;
Lababidi, HMS .
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2001, 31 (01) :23-39