Efficient and accurate retrieval of business process models through indexing

  • Authors:

  • Tao Jin;Jianmin Wang;Nianhua Wu;Marcello La Rosa;Arthur H. M. Ter Hofstede

  • Affiliations:

  • Department of Computer Science and Technology, Tsinghua University, China and School of Software, Tsinghua University, China;Department of Computer Science and Technology, Tsinghua University, China and School of Software, Tsinghua University, China;School of Software, Tsinghua University, China;Queensland University of Technology, Australia;Queensland University of Technology, Australia and Eindhoven University of Technology, The Netherlands

  • Venue:
  • OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems - Volume Part I
  • Year:
  • 2010

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Abstract

Recent years have seen an increased uptake of business process management technology in various industries. This has resulted in organizations trying to manage large collections of business process models. One of the challenges facing these organizations concerns the retrieval of models from large business process model repositories. As process model repositories may be large, query evaluation may be time consuming. Hence, we investigate the use of indexes to speed up this evaluation process. Experiments are conducted to demonstrate that our proposal achieves a significant reduction in query evaluation time.