4.7 Article

ASSEMBLE: Attribute, Structure and Semantics Based Service Mapping Approach for Collaborative Business Process Development

Journal

IEEE TRANSACTIONS ON SERVICES COMPUTING
Volume 14, Issue 2, Pages 371-385

Publisher

IEEE COMPUTER SOC
DOI: 10.1109/TSC.2018.2805346

Keywords

Organizations; Web services; Semantics; Collaboration; Syntactics; Task analysis; Collaborative business process development; web services; service mapping

Funding

  1. HEC grant under the PAK-US Science and Technology Cooperation Program
  2. National Academies of Sciences, Engineering, and Medicine under the PAK-US Science and Technology Cooperation Program
  3. NSF IUCRC grant [1624503]
  4. Direct For Computer & Info Scie & Enginr [1624503] Funding Source: National Science Foundation
  5. Division Of Computer and Network Systems [1624503] Funding Source: National Science Foundation

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The paper proposes an approach for collaborative BP development that utilizes attribute and structural similarity as well as semantic information of operations to overcome syntactic and semantic heterogeneity among Web service operations across organizations. Experimental evaluation with real world data from e-commerce sales BPs demonstrates the effectiveness of the approach.
Development of a Business Process (BP) is a challenging task for small and medium enterprises (SMEs) which often do not have adequate resources for design, coding, and management of their BPs. Knowledge of existing BPs of related organizations can be exploited for collaborative BP development. However, syntactic and semantic heterogeneity among the Web service operations of BPs across organizations is a major obstacle to such collaborative BP development. In this paper, we propose an approach for collaborative BP development that exploits the attribute and structural similarity of related BPs as well as the semantic information including preconditions and postconditions of operations, to compute a mapping between the available service operations of the user organization and the BP operations of other organizations. We experimentally evaluate the approach with real world data from e-commerce sales BPs and demonstrate its effectiveness.

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