TY - JOUR
T1 - Designing a composite e-service platform with recommendation function
AU - Liu, Duen-Ren
AU - Shen, Minxin
AU - Liao, Chiu Ting
PY - 2003/5/1
Y1 - 2003/5/1
N2 - Enterprises make e-services available via the Internet to drive new revenue streams or create new efficiencies. Composite e-services, which consist of various e-services provided by different e-service providers, are more valuable for customers. This work presents a novel platform capable of supporting e-service metadata, and modeling and recommending composite e-services. Composite e-services are modeled by using the activity diagram of Unified Modeling Language in which Event/Condition/Action (ECA) rules are employed to control the sequence of e-services enactment and to select e-service providers. Moreover, two-level e-service metadata is designed to extend Universal Description, Discovery, and Integration (UDDI) standard to enable semantic search and selection of e-services. Finally, data mining approach is proposed to discover the frequent predicates of e-services and the frequent orderings between e-services. Based on the mining result, the proposed platform provides a recommendation of top N composite e-services to customers.
AB - Enterprises make e-services available via the Internet to drive new revenue streams or create new efficiencies. Composite e-services, which consist of various e-services provided by different e-service providers, are more valuable for customers. This work presents a novel platform capable of supporting e-service metadata, and modeling and recommending composite e-services. Composite e-services are modeled by using the activity diagram of Unified Modeling Language in which Event/Condition/Action (ECA) rules are employed to control the sequence of e-services enactment and to select e-service providers. Moreover, two-level e-service metadata is designed to extend Universal Description, Discovery, and Integration (UDDI) standard to enable semantic search and selection of e-services. Finally, data mining approach is proposed to discover the frequent predicates of e-services and the frequent orderings between e-services. Based on the mining result, the proposed platform provides a recommendation of top N composite e-services to customers.
KW - Composite e-service
KW - Data mining
KW - E-service
KW - Recommendation
KW - Workflow system
UR - http://www.scopus.com/inward/record.url?scp=0037402780&partnerID=8YFLogxK
U2 - 10.1016/S0920-5489(03)00012-6
DO - 10.1016/S0920-5489(03)00012-6
M3 - Article
AN - SCOPUS:0037402780
SN - 0920-5489
VL - 25
SP - 103
EP - 117
JO - Computer Standards and Interfaces
JF - Computer Standards and Interfaces
IS - 2
ER -