Designing a composite e-service platform with recommendation function

Duen-Ren Liu*, Minxin Shen, Chiu Ting Liao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)103-117
Number of pages15
JournalComputer Standards and Interfaces
Volume25
Issue number2
DOIs
StatePublished - 1 May 2003

Keywords

  • Composite e-service
  • Data mining
  • E-service
  • Recommendation
  • Workflow system

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