Querying business process models based on semantics

  • Authors:
  • Tao Jin;Jianmin Wang;Lijie Wen

  • Affiliations:
  • Department of Computer Science and Technology, Tsinghua University, China and School of Software, Tsinghua University, China;School of Software, Tsinghua University, China;School of Software, Tsinghua University, China

  • Venue:
  • DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications: Part II
  • Year:
  • 2011

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Abstract

In recent years, the technology of business process management is being more widely used, so that there are more and more business process models (graphs). How to manage such a large number of business process models is challenging, among which the business process model query is a basic function. For example, based on business process model query, the model designer can find the related models and evolve them instead of starting from scratch. It will save a lot of time and is less errorprone. To this end, we propose a language (BQL) for users to express their requirements based on semantics. For efficiency, we adopt an efficient method to compute the semantic features of business process models and use indexes to support the query processing. To make our approach more applicable, we consider the semantic similarity between labels. Our approach proposed in this paper is implemented in our system BeehiveZ. Analysis and experiments show that our approach works well.