Service chain-based business alliance formation in service-oriented architecture

被引:86
作者
Jung, Jason J. [1 ]
机构
[1] Yeungnam Univ, Dept Comp Engn, Knowledge Engn Lab, Dae Dong 712749, Gyeongsan, South Korea
关键词
Service chain; Business network; Service-oriented architecture (SOA); Ontologies; Business alliance formation; Social network analysis; INTEGRATION; NETWORKS; INTEROPERABILITY; FRAMEWORK; SCIENCE;
D O I
10.1016/j.eswa.2010.08.008
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Businesses in service-oriented architecture (SOA) are usually flexible to be integrated with each other, so that they can discover, select, and compose services to fulfill a given task and goal. However, the number of businesses and services are ever-increasing, and more seriously, they are complexly linked with each other. These problems cause less flexibility of businesses, i.e., low understandability on business services and inefficiency on business integration. Thereby, in this paper, we propose a novel SOA-based platform to discover a service chain where (i) nodes are a set of services provided by businesses, and (ii) arcs indicate successive relationships between the services. We emphasize that we have to take into account not only explicit relationships (e.g., agreement) but also implicit ones by matching semantics of the services. Consequently, people like decision makers can easily figure out which businesses might be chosen in a certain situation. More importantly, business alliance formation process, which sorts out and merge relevant businesses, can be conducted by employing social network analysis (SNA) methods and finding out social relationships (e.g., centrality) between the corresponding services. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2206 / 2211
页数:6
相关论文
共 29 条
[1]  
[Anonymous], 2006, J DATA SEMANTICS
[2]   Choreography frameworks for business integration: Addressing heterogeneous semantics [J].
Arroyo, Sinuhe ;
Sicilia, Miguel-Angel ;
Dodero, Juan-Manuel .
COMPUTERS IN INDUSTRY, 2007, 58 (06) :487-503
[3]   Complexity of service value networks: Conceptualization and empirical investigation [J].
Basole, R. C. ;
Rouse, W. B. .
IBM SYSTEMS JOURNAL, 2008, 47 (01) :53-70
[4]   A faster algorithm for betweenness centrality [J].
Brandes, U .
JOURNAL OF MATHEMATICAL SOCIOLOGY, 2001, 25 (02) :163-177
[5]  
Cardoso HL, 2005, LECT NOTES ARTIF INT, V3451, P14
[6]   CENTRALITY IN SOCIAL NETWORKS CONCEPTUAL CLARIFICATION [J].
FREEMAN, LC .
SOCIAL NETWORKS, 1979, 1 (03) :215-239
[7]  
Hull R., 1997, Proceedings of the Sixteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, PODS 1997, P51, DOI 10.1145/263661.263668
[8]   Taxonomy alignment for interoperability between heterogeneous virtual organizations [J].
Jung, Jason J. .
EXPERT SYSTEMS WITH APPLICATIONS, 2008, 34 (04) :2721-2731
[9]  
Jung JJ, 2007, LECT NOTES COMPUT SC, V4519, P267
[10]   Ontological framework based on contextual mediation for collaborative information retrieval [J].
Jung, Jason J. .
INFORMATION RETRIEVAL, 2007, 10 (01) :85-109