Literature DB >> 35966623

A Framework for Dynamic Composition and Management of Emergency Response Processes.

Abeer Elahraf1, Ayesha Afzal2, Ahmed Akhtar3, Basit Shafiq3, Jaideep Vaidya1, Shafay Shamail3, Nabil R Adam1.   

Abstract

An emergency response process outlines the workflow of different activities that need to be performed in response to an emergency. Effective emergency response requires communication and coordination with the operational systems belonging to different collaborating organizations. Therefore, it is necessary to establish information sharing and system-level interoperability among the diverse operational systems. Unlike typical e-government processes that are well structured and have a well-defined outcome, emergency response processes are knowledge-centric and their workflow structure and execution may evolve as the incident unfolds. It is impractical to define static plans and response process workflows for every possible situation. Instead, a dynamic response should be adaptable to the changing situation. We present an integrated approach that facilitates the dynamic composition of an executable response process. The proposed approach employs ontology-based reasoning to determine the default actions and resource requirements for the given incident and to identify relevant response organizations based on their jurisdictional and mutual aid agreement rules. The Web service APIs of the identified response organizations are then used to generate an executable response process that evolves dynamically. The proposed approach is implemented and experimentally validated using an example scenario derived from the FEMA Hazardous Materials Tabletop Exercises Manual.

Entities:  

Keywords:  Business process composition; Emergency response processes; Knowledge-centric business processes; process evolution

Year:  2020        PMID: 35966623      PMCID: PMC9364781          DOI: 10.1109/tsc.2020.3030211

Source DB:  PubMed          Journal:  IEEE Trans Serv Comput        ISSN: 1939-1374            Impact factor:   11.019


  2 in total

1.  A Framework for Dynamic Composition and Management of Emergency Response Processes.

Authors:  Abeer Elahraf; Ayesha Afzal; Ahmed Akhtar; Basit Shafiq; Jaideep Vaidya; Shafay Shamail; Nabil R Adam
Journal:  IEEE Trans Serv Comput       Date:  2020-10-12       Impact factor: 11.019

2.  Efficient Processing of Models for Large-scale Shotgun Proteomics Data.

Authors:  Himanshu Grover; Vanathi Gopalakrishnan
Journal:  Int Conf Collab Comput       Date:  2012
  2 in total
  1 in total

1.  A Framework for Dynamic Composition and Management of Emergency Response Processes.

Authors:  Abeer Elahraf; Ayesha Afzal; Ahmed Akhtar; Basit Shafiq; Jaideep Vaidya; Shafay Shamail; Nabil R Adam
Journal:  IEEE Trans Serv Comput       Date:  2020-10-12       Impact factor: 11.019

  1 in total

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