Making context explicit towards decision support for a flexible scientific workflow system - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2011

Making context explicit towards decision support for a flexible scientific workflow system

Xiaoliang Fan
  • Fonction : Auteur
  • PersonId : 977653
Patrick Brézillon
  • Fonction : Auteur
  • PersonId : 872982
Ruisheng Zhang
  • Fonction : Auteur
Lian Li
  • Fonction : Auteur

Résumé

Scientific workflow (SWF) system is a specific workflow management system applied to science arena. For years, SWF systems are widely applied to many applications, namely in physics, climate modeling, drug discovery process, etc. However, current SWF systems face the challenge to adapt the flexibility and lack of decision support for scientist. We believe the major reason for the failure is due to do not make context explicit. We propose a solution to introduce contextual graphs (CxG) in the four phases of the SWF lifecycle, each of which is expressed in a standard format, including a case study in virtual screening. Contextual graph allows to model scientists’ decision making processes as a uniform representation of knowledge, reasoning, and of contexts, so that scientists are closely involved in each phase of SWF lifecycle to maximize the decision support. Finally, we conclude and highlight that using CxG is the key human-centered process for SWF systems.
Fichier non déposé

Dates et versions

hal-01282517 , version 1 (03-03-2016)

Identifiants

  • HAL Id : hal-01282517 , version 1

Citer

Xiaoliang Fan, Patrick Brézillon, Ruisheng Zhang, Lian Li. Making context explicit towards decision support for a flexible scientific workflow system. 2011 Workshop on Human-Centered Processes, Feb 2011, Genoa, Italy. pp.3-9. ⟨hal-01282517⟩
47 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More