[1]JIANG Yanrong,LI Weihua,YANG Jintao.A dynamic refinement approach for flexible activity based on knowledge tree and constraints[J].CAAI Transactions on Intelligent Systems,2017,12(2):158-165.[doi:10.11992/tis.201603009]
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A dynamic refinement approach for flexible activity based on knowledge tree and constraints

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 12 Number of periods: 2017 2 Page number: 158-165 Column: 学术论文—知识工程 Public date: 2017-05-05
Title:
A dynamic refinement approach for flexible activity based on knowledge tree and constraints
Author(s):
JIANG Yanrong;  LI Weihua;  YANG Jintao
School of Computer, Guangdong University of Technology, Guangzhou 510006, China
Keywords:
flexible workflow; dynamic refinement; temporal constraints; workflow generation; process modeling
CLC:
TP391
DOI:
10.11992/tis.201603009
Abstract:
Flexible workflow systems offer huge advantages in addressing dynamic uncertain factors during the modeling period; however, the dynamic refinement of flexible activities remains a challenge in the modeling and application of flexible workflows. Therefore, we propose a dynamic refinement approach of flexible activities based on a knowledge tree and various constraints. More specifically, we used the inclusion and generalization relationships of knowledge trees as heuristic information; further, we used activity selection constraints and temporal constraints to guide our verification processes. Given the introduction of a knowledge tree and its containing relationships, as well as activity selection constraint and temporal constraint rules, we provide a dynamic refinement algorithm and an algorithm for activity selection checkout and temporal constraint checkup. Finally, we provide a realization of our algorithms and offer case analyses. Our results show that our proposed algorithms are effective and can solve the problem of dynamic refinement of flexible activities quite well.
References:
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