Abstract
With the increasing popularity of component-based services and semantic web services, the idea of specification-driven service composition is becoming a reality. With the distribution of these autonomous services, a realizable goal will be the transformation of the Internet into a universal service repository. In such an environment, intelligent agents can play a significant role in configuring and enacting the workflow composition of the atomic distributed services to create entirely new higher-level services. In this work, there is a large-scale agent-based architecture to support such a distributed service environment. Furthermore, we introduce an object-oriented modeling and software engineering approach towards the development, configuration, and operational control of the agents that manage processes in this cross-organizational workflow environment.
| Original language | English |
|---|---|
| Pages (from-to) | 111-128 |
| Number of pages | 18 |
| Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volume | 2940 |
| State | Published - Dec 1 2004 |
| Externally published | Yes |
Fingerprint
Keywords
- Agent architectures
- Object-oriented modeling
- Software Process
- UML
- Workflow
ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science
Cite this
Object-oriented modeling approaches to agent-based workflow services. / Blake, M. Brian; Gomaa, Hassan.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2940, 01.12.2004, p. 111-128.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Object-oriented modeling approaches to agent-based workflow services
AU - Blake, M. Brian
AU - Gomaa, Hassan
PY - 2004/12/1
Y1 - 2004/12/1
N2 - With the increasing popularity of component-based services and semantic web services, the idea of specification-driven service composition is becoming a reality. With the distribution of these autonomous services, a realizable goal will be the transformation of the Internet into a universal service repository. In such an environment, intelligent agents can play a significant role in configuring and enacting the workflow composition of the atomic distributed services to create entirely new higher-level services. In this work, there is a large-scale agent-based architecture to support such a distributed service environment. Furthermore, we introduce an object-oriented modeling and software engineering approach towards the development, configuration, and operational control of the agents that manage processes in this cross-organizational workflow environment.
AB - With the increasing popularity of component-based services and semantic web services, the idea of specification-driven service composition is becoming a reality. With the distribution of these autonomous services, a realizable goal will be the transformation of the Internet into a universal service repository. In such an environment, intelligent agents can play a significant role in configuring and enacting the workflow composition of the atomic distributed services to create entirely new higher-level services. In this work, there is a large-scale agent-based architecture to support such a distributed service environment. Furthermore, we introduce an object-oriented modeling and software engineering approach towards the development, configuration, and operational control of the agents that manage processes in this cross-organizational workflow environment.
KW - Agent architectures
KW - Object-oriented modeling
KW - Software Process
KW - UML
KW - Workflow
UR - http://www.scopus.com/inward/record.url?scp=35048820057&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=35048820057&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:35048820057
VL - 2940
SP - 111
EP - 128
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
SN - 0302-9743
ER -