Data di Pubblicazione:
2015
Abstract:
We use methods based on ontology engineering to individuate
the shortcomings of feature-based modelling approaches in product
lifecycle data management, and propose an alternative view.
Our aim is to contribute to the development of information systems for
the integrated management of product lifecycle knowledge. In particular,
we are looking for suitable approaches to model the variety of engineering
features as used in intensive knowledge-based product development tasks,
in particular dealing with manufacturing and engineering design.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Feature; Manufacturing; Ontology Engineering; Design
Elenco autori:
Sanfilippo, EMILIO MARIA; Borgo, Stefano
Link alla scheda completa:
Titolo del libro:
AI*IA 2015 Advances in Artificial Intelligence