In the past years, great advances have been made in the development of ontologies applied to the field of engineering design, essentially in functional and structural models. OntoFaBeS is an ontology whose objective is to formalize the knowledge about a product in order to infer different structures of that product from functional requirements set by the user. Hence, an effective tool capable of assisting the designer in the rational design phase is created. OntoFaBeS does not only provide the product redesign, but also allows for the evaluation of the different design alternatives created. OntoFaBeS can also capture the knowledge obtained from queries. This knowledge may be represented later in a CAE system. In order to illustrate the operation of OntoFaBeS, a mechanical pencil is used as an application example. This allows for a thorough assessment of the ontology design, wherein a query proves the ontology’s ability to infer knowledge.
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Kitamura Y., Mizoguchi R.: Ontology-based systematization of functional knowledge. Journal of Engineering Design, 15/4, pp. 327-351 (2004).
Cebrian-Tarrason D., Muñoz C., Chulvi V., Vidal R.: Nuevo Enfoque En El Diseño Inteligente De Implantes Craneales Personalizados A Través De KBE. XI Congress International of Project Engineering, Lugo, Spain (2007).
Chulvi V., Sancho A., Cebrian-Tarrason D., Jiménez R., Muñoz C., Vidal R.: Knowledge-Based Engineering in cranioplasty implant design. Proceedings of the 16th International Conference on Engineering Design (ICED’07), Paris (2007).
Mizoguchi R.: Tutorial on ontological engineering. New Generation Computing, Part 1, pp. 365-384 (2003).
Baxter D., Gao J., Case K., Harding J., Young B.: An engineering design knowledge reuse methodology using process modeling. In: Research in engineering design, pp. 18, 37-48 (2007).
Ahmed S., Wallace K.: Reusing Design Knowledge. 14th CIRP Design Seminar, Cairo (2004).
Ahmed S., Kim S., Wallace K.: A methodology for creating ontologies for engineering design. Journal of computing and information science in engineering, 7/2, pp. 132-140 (2006).
Gruber T.R.: Toward Principles for the Design of Ontologies Used for Knowledge Sharing, K.A. Publishers. In Knowledge Systems Laboratory, Stanford University, Padova, Italy (1993).
Cottam H, Milton N., Shadbolt N.: The Use of Ontologies in a Decision Support System for Business Process Re-engineering, Information Technology and Knowledge Re-Engineering. Journal of the Austrian Computing Society, Vienna, Budapest (1998).
Gilchrist A.: Thesauri, taxonomies and ontologies - an etymological note. Journal of Documentation. 59/1, pp. 7-18.
Antoniou G., Harmelen F.: A semantic web primer, The MIT Press, Cambridge, Massachusetts (2003).
Garbacz P.: Towards a standard taxonomy of artifact functions. Applied Ontology, 1/3, pp. 221-236.
Umeda Y., Takeda H.: Function behavior, and structure. Applications of Artificial Intelligence in Engineering, vol. V, pp. 177-194 (1990).
Wood K.L., Greer J.L.: Function-Based Synthesis. In Methods in Engineering Design, pp. 170-227 (2001).
Borgo S., Carrara M., Vermaas P.E., Garbacz P.: Behavior of a technical artifact: An ontological perspective in engineering. Frontiers in Artificial Intelligence and Applications. 150 (Formal Ontology in Information Systems), pp. 214-225 (2006).
Umeda Y., Takeda H.: Development of design methodology for upgradable products based on function-behavior-state modeling. Artificial Intelligence for Engineering Design. Analysis and Manufacturing (AI EDAM), vol. 19, pp. 161-182 (2005).
Suh N.P.: The principles of design, Oxford University Press, New York (1990).
Veyrat N., Blanco E., Trompette P.: When Shape Does Not Induce Function: Why Designers Must Not Lose The Big Picture. 16th International Conference on Engineering Design, Paris (2007).
Masolo C.: WonderWeb Deliverable D18. Laboratory For Applied Ontology - ISTC-CNR. (2003).
Zhang W.Y., Tor S.B., Britton G.A.: FuncDesigner a functional design software system. The International Journal of Advanced Manufacturing, vol. 22, pp. 295-305, (2006).
Zhang W.Y., Tor S.B., Britton G.A.: A graph and matrix representation scheme for functional design of mechanical products. The International Journal of Advanced Manufacturing Technology, vol. 25(3-4), pp. 221-232 (2005).
Gero J.: Design prototypes: A knowledge representation schema for design. AI magazine. Vol. 11(4), pp. 26-36 (1990).
Takeda H., Yoshioka M., Tomiyama M., Shimomura Y.: Analysis of design processes by function, behavior and structure. The Delft Protocols Workshop, conference proceedings (1994).
Camelo D.: Modelado y desarrollo de un modelo computacional de sĂntesis interactivo y multirrelacional para guiar la actividad de diseño en la fase conceptual. PhD Thesis. University Jaume I (2007).
Chandrasekaran B.: Representing function: Relating functional representation and functional modeling research streams. AIEDAM. vol. 19(2), pp. 65-74 (2005).
Pahl G., Beitz W.: Engineering design. In Design Council (1984).
Pahl G., Beitz W.: Engineering Design. A Systematic Approach. London, Springer (1996).
Szykman S., Racz J., Sriram R.: The representation of function in computer-based design. Design Engineering Technical Conferences, ASME, Las Vegas, Nevada (1999).
Sasajima M., Kitamura Y., Ikeda M., Mizoguchi R.: FBRL: A Function and Behavior Representation Language. Proc. of IJCAI-95. pp. 1830-1836 (1995).
Tor S.B., Zhang W.Y., Britton G.A.: Guiding functional design of mechanical products through rule-based causal behavioural reasoning. International Journal of Production Research. vol. 40(3), pp. 667-682 (2002).
Tor S.B., Britton G.A, Zhang W.Y.: A knowledge-based blackboard framework for stamping process planning in progressive die design. The International Journal of Advanced Manufacturing Technology, vol. 26, pp. 774-783 (2005).
Deng Y.M.: A computerized design environment for functional modeling of mechanical products. Fifth ACM symposium on Solid modeling and applications. ACM Press, Ann Arbor, Michigan (1999).
Vermaas P.E., Dorst K.: On the conceptual framework of John Gero’s FBS-model and the prescriptive aims of design methodology. Design Studies. vol. 28(2), pp.133-157 (2007).
Vermaas P.E.: The Functional Modelling Account of Stone and Wood: Some Critical Remarks. Proceedings of the 16th International Conference on Engineering Design, Paris (2007).
Gómez-Pérez A., Fernández-López M., Corcho O.: Ontological Engineering with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. Springer (2004).
Hirtz J., Stone R.B., McAdams D.A., Szykman S., Wood K.L.: A functional basis for engineering design: Reconciling and evolving previous efforts. Research in Engineering Design, vol. 13, pp. 65-82 (2002).
Gero J.S. and Kannengiesser U.: The situated function-behavior-structure framework. Design Studies, vol. 25(4), pp. 373-391 2004.
Štorga M., Andreasen M.M., Marjanović D.: Towards a formal design model based on a genetic design model system. Proceedings of the 15th International Conference on Engineering Design ICED 05. Melbourne, Australia (2005).
Kitamura Y., Mizoguchi R.: An ontology-based annotation framework for representing the functionality of engineering devices. In ASME 2006, Pennsylvania, USA (2006).
Kitamura Y. Mizoguchi R., Ontology-based description of functional design knowledge and its use in a functional way server. Expert Systems with Applications, vol. 24(2), pp. 153-166 (2003).
Ookubo M., Koji Y., Sasajima M., Kitamura Y., Mizoguchi R.: Towards Interoperability Between Functional Taxonomies Using An Ontology-Based Mapping, Proceedings of the 16th International Conference on Engineering Design, Paris (2007).
Kim, K.-Y., Manley, D.G., Yang, H.: Ontology-based assembly design and information sharing for collaborative product development. Computer-Aided Design, vol. 38(12) pp. 1233-1250 (2006).
Protégé 3.3.1., http://protégé.Stanford.edu. Stanford University. (2008).
Gershenson, J.K., Prasad, G.J., Allamneni, S.: Modular Product Design: A Life-Cycle View. Journal of Integrated Design & Process Science, vol. 3, pp.13-26 (1999).
Gero, J.S.: AI EDAM at 20: Artificial intelligence in designing, Cambridge Univ Press (2007).
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Cebrian-Tarrason, D., Vidal, R. (2008). How an ontology can infer knowledge to be used in product conceptual design. In: Cascini, G. (eds) Computer-Aided Innovation (CAI). The International Federation for Information Processing, vol 277. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-09697-1_5
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