QUT ePrints

Domain-driven Process Adaptation in Emergency Scenarios

La Rosa, Marcello & Mendling, Jan (2008) Domain-driven Process Adaptation in Emergency Scenarios. In Mecella, Massimo & Yang, Jian (Eds.) 1st International Workshop on Process Management for Highly Dynamic and Pervasive Scenarios (PM4HDPS), 1 September 2008, Milan, Italy. (In Press)

Abstract

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 ay 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.

Impact and interest:

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

47 since deposited on 27 Nov 2008
8 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 15759
Item Type: Conference Paper
Additional URLs:
Keywords: emergency management, disaster management, process configuration, questionnaire
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Decision Support and Group Support Systems (080605)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Conceptual Modelling (080603)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Information Systems Management (080609)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2008 Springer
Copyright Statement: This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springer.de/comp/lncs/ Lecture Notes in Computer Science
Deposited On: 27 Nov 2008
Last Modified: 01 Mar 2012 00:09

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page