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Congress of the Italian Association for Artificial Intelligence

AI*IA 2015: AI*IA 2015 Advances in Artificial Intelligence pp 151–163Cite as

Feature-Based Modelling and Information Systems for Engineering

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9336))

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.

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Author information

Authors and Affiliations

  1. Laboratory for Applied Ontology (LOA-ISTC), National Council of Research (CNR), via Alla Cascata 56/C, Povo, 38123, Trento, Italy

    Emilio M. Sanfilippo & Stefano Borgo

  2. Ph.D. School in ICT, University of Trento, Trento, Italy

    Emilio M. Sanfilippo

Authors
  1. Emilio M. Sanfilippo
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  2. Stefano Borgo
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Corresponding author

Correspondence to Emilio M. Sanfilippo .

Editor information

Editors and Affiliations

  1. Dipartimento di Ingegneria,, Università di Ferrara,, Ferrara, Italy

    Marco Gavanelli

  2. Dipartimento di Ingegneria, Università di Ferrara, Ferrara, Italy

    Evelina Lamma

  3. Dep di Matem e Informatica, Universita di Ferrara, Ferrara, Italy

    Fabrizio Riguzzi

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© 2015 Springer International Publishing Switzerland

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Sanfilippo, E.M., Borgo, S. (2015). Feature-Based Modelling and Information Systems for Engineering. In: Gavanelli, M., Lamma, E., Riguzzi, F. (eds) AI*IA 2015 Advances in Artificial Intelligence. AI*IA 2015. Lecture Notes in Computer Science(), vol 9336. Springer, Cham. https://doi.org/10.1007/978-3-319-24309-2_12

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  • DOI: https://doi.org/10.1007/978-3-319-24309-2_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24308-5

  • Online ISBN: 978-3-319-24309-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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