Methodology to design ontologies from organizational models: application to creativity workshops. Issue 2 (6th May 2019)

• Record Type: Journal Article
• Authors: Alex, Gabriel; Chavez, Barrios Pedro; Davy, Monticolo
• Editors: Matta, Nada; Mercier-Laurent, Eunika; Carrillo, Tatiana Reyes; Boulanger, Danielle
• Is Part Of: AI EDAM. Volume 33:Issue 2(2019)
• Page Start: 148
• Page End: 159
• Publication Date: 2019-05-06
• Subjects: Creative workshop, -- innovation, -- knowledge engineering, -- ontology, -- organization; Engineering design -- Data processing -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; 620.00420285
• DOI: 10.1017/S0890060419000088
• Languages: English
• ISSNs: 0890-0604

Abstract

Abstract: Innovation and creativity are a mandatory for companies who wish to stay competitive. In order to promote an inventive dynamic, it implies to set up tools, habits, and an adapted environment to foster creativity. Creativity is the wealth of companies that should be valorized. To promote creativity, companies implement creativity workshops that gather people with various roles and expertise exchange and create knowledge to solve collectively open-ended engineering problems. However, group dynamics or facilitation can make the wrong decision and make the creative problem-solving unfruitful. The aim of our research project is to create a digital system to manage and valorize knowledge during creativity workshops. To design this system, we need to formalize the knowledge domain of creative workshops. The ontologies are used for decades to structure and manage information and knowledge in different domains. However, methodologies to design these ontologies are either hardly reproducible or not oriented to extract knowledge from organization. This article describes a methodology based on an organizational modeling to build ontologies. We will illustrate our approach by designing an ontology that models knowledge of creativity workshops.