Domain-Driven Process Adaptation in Emergency Scenarios

被引:0
|
作者
La Rosa, Marcello [1 ]
Mendling, Jan [2 ]
机构
[1] Queensland Univ Technol, 126 Margaret St, Brisbane, Qld 4000, Australia
[2] Humboldt Univ, D-10099 Berlin, Germany
来源
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Business process models are a suitable means to describe the temporal and logical order of tasks for achieving a, given goal. Therefore they become crucial in the coordination of intervention actions to efficiently recover from a disaster or tragic event. Past experience is vital in handling these scenarios; but every new emergency would almost always present peculiar characteristics. So although generic business processes for disaster management would typically be available in a recovery infrastructure, these need to be adapted every time to the specific scenario. In these Situations goal achievement is very time-critical, thus the adaptation process should be done in the most efficient way and be error-free. This paper proposes to capture multiple variants of an emergency recovery process in a configurable model, and to control the model adaptation via the use of interactive domain-based questionnaires.
引用
收藏
页码:290 / +
页数:2
相关论文
共 50 条
  • [1] Domain-driven actionable process model discovery
    Yahya, Bernardo Nugroho
    Song, Minseok
    Bae, Hyerim
    Sul, Sung-ook
    Wu, Jei-Zheng
    COMPUTERS & INDUSTRIAL ENGINEERING, 2016, 99 : 382 - 400
  • [2] Domain-driven Documentation: The Case of Landscape
    Burenhult, Niclas
    LANGUAGE DOCUMENTATION & CONSERVATION, 2020, 21 : 9 - 22
  • [3] Domain-Driven Morphogenesis of Cellular Membranes
    Shnyrova, Anna V.
    Frolov, Vadim A.
    Zimmerberg, Joshua
    CURRENT BIOLOGY, 2009, 19 (17) : R772 - R780
  • [4] Domain-driven data mining: A framework
    Cao, Longbing
    Zhang, Chengqi
    IEEE INTELLIGENT SYSTEMS, 2007, 22 (04) : 78 - 79
  • [5] Domain-driven, actionable knowledge discovery
    Cao, Longbing
    IEEE INTELLIGENT SYSTEMS, 2007, 22 (04) : 78 - 78
  • [6] The Application of Domain-Driven Design in NMS
    Zhang Jinsong
    Chen Yan
    Qin Shengjun
    FOURTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2011): COMPUTER VISION AND IMAGE ANALYSIS: PATTERN RECOGNITION AND BASIC TECHNOLOGIES, 2012, 8350
  • [7] Toward Domain-Driven Data Mining
    Zhu, Zhengxiang
    Gu, Jifa
    Yang, Wenxin
    Li, Xingsen
    2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION WORKSHOP: IITA 2008 WORKSHOPS, PROCEEDINGS, 2008, : 44 - +
  • [8] A Paradigm-Shifting From Domain-Driven Data Mining Frameworks to Process-Based Domain-Driven Data Mining-Actionable Knowledge Discovery Framework
    Fatima, Fakeeha
    Talib, Ramzan
    Hanif, Muhammad Kashif
    Awais, Muhammad
    IEEE ACCESS, 2020, 8 : 210763 - 210774
  • [9] A DOMAIN-DRIVEN APPROACH TO METAMODELING IN ADDITIVE MANUFACTURING
    Yang, Zhuo
    Hagedorn, Thomas
    Eddy, Douglas
    Krishnamurty, Sundar
    Grosse, Ian
    Denno, Peter
    Lu, Yan
    Witherell, Paul
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2017, VOL 1, 2017,
  • [10] Domain-driven software development - A world of transformations
    Sendall, S
    15TH IEEE INTERNATIONAL WORKSHOP ON RAPID SYSTEM PROTOTYPING, PROCEEDINGS: SHORTENING THE PATH FROM SPECIFICATION TO PROTOTYPE, 2004, : 110 - 112