Efficient Retrieval of Similar Workflow Models Based on Behavior

  • Tao Jin
  • Jianmin Wang
  • Lijie Wen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7235)

Abstract

With the workflow technology being more widely used, there are more and more workflow models. How to retrieve the similar models efficiently from a large model repository is challenging. Since dynamic behavior is the essential characteristic of workflow models, we measure the similarity between models based on their behavior. Since the number of models is large, the efficiency of similarity retrieval is very important. To improve the efficiency of similarity retrieval based on behavior, we propose a more efficient algorithm for similarity calculation and use an index named TARIndex for query processing. To make our approach more applicable, we consider the semantic similarity between labels. Analysis and experiments show that our approach is efficient.

Keywords

Query Processing Semantic Similarity Query Time Business Process Model Inverted Index 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Tao Jin
    • 1
    • 2
  • Jianmin Wang
    • 2
  • Lijie Wen
    • 2
  1. 1.Department of Computer Science and TechnologyTsinghua UniversityChina
  2. 2.School of SoftwareTsinghua UniversityChina

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