Personalizing Actions in Context for Risk Management using Semantic Web Technologies - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Personalizing Actions in Context for Risk Management using Semantic Web Technologies

Résumé

The process of managing risks of client contracts is manual and resource-consuming, particularly so for Fortune 500 companies. As an example, Accenture assesses the risk of eighty thousand contracts every year. For each contract, different types of data will be consolidated from many sources and used to compute its risk tier. For high-risk tier contracts, a Quality Assurance Director (QAD) is assigned to mitigate or even prevent the risk. The QAD gathers and selects the recommended actions during regular portfolio review meetings to enable leadership to take the appropriate actions. In this paper, we propose to automatically personalize and contextualize actions to improve the efficacy. Our approach integrates enterprise and external data into a knowledge graph and interprets actions based on QADs' profiles through semantic reasoning over this knowledge graph. User studies showed that QADs could efficiently select actions that better mitigate the risk than the existing approach.
Fichier principal
Vignette du fichier
Lecue-al-ISWC2017.pdf (1.15 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01934897 , version 1 (26-11-2018)

Identifiants

  • HAL Id : hal-01934897 , version 1

Citer

Jiewen Wu, Freddy Lecue, Christophe Guéret, Jer Hayes, Sara van de Moosdijk, et al.. Personalizing Actions in Context for Risk Management using Semantic Web Technologies. International Semantic Web Conference, Oct 2017, Vienna, Austria. ⟨hal-01934897⟩
56 Consultations
168 Téléchargements

Partager

Gmail Facebook X LinkedIn More