earticle

논문검색

Toward Activity Mapping for Artifact-Centric Business Process

초록

영어

The existing method of task mapping between process models is mostly based on the similarity of labels to get the similarity between tasks, which is affected by a single factor and easy to cause errors. This paper proposes a task mapping method for Artifact-Centric business process analyzes the data operation in business process execution. At first we add the description of data operation to EZ-Flow model. Secondly select the similar artifact attributes of the two business artifact by whole artifacts similarity calculation and based them to calculate two tasks’ similarity by label similarity, artifact operation similarity and context similarity calculations. Finally, the task mapping comes from the optimal selection of tasks’ similarities. Experimental results verify the effectiveness of the method, and show that the method reflects the data operation characteristics of business process model, as artifact task mapping of the process model provides a feasible method.

목차

Abstract
 1. Introduction
 2. Preliminaries
 3. Method Overview
 4. Experiments
 5. Related Work
 6. Conclusion
 Acknowledgment
 References

저자정보

  • Yuyu Yin College of Electrical Engineering Zhejiang University Zhejiang, Hangzhou 310027, P. R. China, School of Computer Science and Technology, Hangzhou Dianzi University, Zhejiang Hangzhou 310018, P. R. China, Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education Zhejiang, Hangzhou 310018, P. R. China
  • Zhengshuang Zhu School of Computer Science and Technology, Hangzhou Dianzi University, Zhejiang Hangzhou 310018, P. R. China, Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education Zhejiang, Hangzhou 310018, P. R. China
  • Min Gao School of Computer Science and Technology, Hangzhou Dianzi University, Zhejiang Hangzhou 310018, P. R. China, Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education Zhejiang, Hangzhou 310018, P. R. China
  • Aihua Song School of Computer Science and Technology, Hangzhou Dianzi University, Zhejiang Hangzhou 310018, P. R. China, Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education Zhejiang, Hangzhou 310018, P. R. China

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.