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Design Knowledge Representation: An Ontological Perspective
In Emilio M. Sanfilippo, Claudio Masolo & Daniele Porello (eds.), Proceedings of the 1st Workshop on Artificial Intelligence and Design, {A} workshop of the {XIV} International Conference of the Italian Association for Artificial Intelligence (AI*IA 2015), Ferrara, Italy, September 22, 2015. pp. 41-54 (2015)
Abstract
We present a preliminary high-level formal theory, grounded on knowledge representation techniques and foundational ontologies, for the uniform and integrated representation of the different kinds of (quali- tative and quantitative) knowledge involved in the designing process. We discuss the conceptual nature of engineering design by individuating and analyzing the involved notions. These notions are then formally charac- terized by extending the DOLCE foundational ontology. Our ultimate purpose is twofold: (i) to contribute to foundational issues of design; and (ii) to support the development of advanced modelling systems for (qualitative and quantitative) representation of design knowledge.Author Profiles
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Citations of this work
Features and Components in Product Models.Emilio M. Sanfilippo, Claudio Masolo, Stefano Borgo & Daniele Porello - 2016 - In Emilio M. Sanfilippo, Claudio Masolo, Stefano Borgo & Daniele Porello (eds.), Formal Ontology in Information Systems - Proceedings of the 9th International Conference, {FOIS} 2016, Annecy, France, July 6-9, 2016. Frontiers in Artificial Intelligence and Applications 283. pp. 227-240.
References found in this work
Aboutness: Towards Foundations for the Information Artifact Ontology.Werner Ceusters & Barry Smith - 2015 - In Werner Ceusters & Barry Smith (eds.), Proceedings of the Sixth International Conference on Biomedical Ontology (ICBO). CEUR vol. 1515. pp. 1-5.
The token reification approach to temporal reasoning.Lluís Vila & Han Reichgelt - 1996 - Artificial Intelligence 83 (1):59-74.
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