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From handicraft prototypes to limited serial productions: Exploiting knowledge artifacts to support the industrial design of high quality products

  • S. Bandini (a1) and F. Sartori (a1)
Abstract
Abstract

This paper presents a conceptual and computational framework to support experts in the design and manufacturing of high quality products. The framework is based on the development of specific knowledge artifacts characterized by tools for the management of functional, procedural, and experiential knowledge. As a case study, the GUITAR HERO project is presented. The project aims at building a knowledge-based system to support experts of a handicraft enterprise involved in the design and manufacturing of electric guitars characterized by an aluminum body. The domain of the project is extremely innovative, because electric guitars are typically manufactured with different kinds of wood rather than metals or other materials. To this aim, an ontological representation of the electric guitar has been implemented exploiting NavEditOW, a computational framework for the codification, navigation, and querying of ontologies over the Internet, based on the OWL language.

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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

C. Kerdvibulvech , & H. Saito (2007). Vision-based detection of guitar players' fingertips without markers. Proc. Computer Graphics, Imaging and Visualisation, pp. 419428. Washington, DC: IEEE Computer Society.

J. Kolodner (1993). Case-Based Reasoning. San Mateo, CA: Morgan Kauffmann.

Y Motokawa , & H. Saito (2006). Support system for guitar playing using augmented reality display. Int. Symp. Mixed and Augmented Reality 2006, pp. 243244. Washington, DC: IEEE/ACM.

E. Wenger (1998). Community of Practice: Learning, Meaning and Identity. Cambridge: Cambridge University Press.

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AI EDAM
  • ISSN: 0890-0604
  • EISSN: 1469-1760
  • URL: /core/journals/ai-edam
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