Journal of Engineering Design

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  Año 2019, Vol. 30, Número 10-12. Dedicado a: Ontological Engineering for Supporting Semantic Reasoning in Design

  • From natural language text to rules: knowledge acquisition from formal documents for aircraft assembly

    N. Madhusudanan, Balan Gurumoorthy, Amaresh Chakrabarti

    • Resumen

    págs. 417-444

    

  • Supporting the construction of affective product taxonomies from online customer reviews: an affective-semantic approach

    W. M. Wang, Z.G. Tian, Z. Li, J.W. Wang, Ali Vatankhah Barenji, M. N. Cheng

    • Resumen

    págs. 445-476

    

  • Integrating four-dimensional ontology and systems requirements modelling

    Conrad Bock, Charles Galey

    • Resumen

    págs. 477-522

    

  • Ontology-based model-driven design of distributed control applications in manufacturing systems

    Yue Cao, Yusheng Liu, Hongwei Wang, Jianjun Zhao, Xiaoping Ye

    • Resumen

    págs. 523-562

    

  • Patterns of engineering design collaboration and reasoning activities modelled with Coloured Petri Nets

    Jasmin Juranić, Neven Pavković, Thomas Naumann, Ferdinand Toepfer

    • Resumen

    págs. 563-598

    

  • Analogical stimuli retrieval approach based on R-SBF ontology model

    Lizhen Jia, Qingjin Peng, Runhua Tan, Xuehong Zhu

    • Resumen

    págs. 599-624

    

  • Interoperability of disparate engineering domain ontologies using basic formal ontology

    Thomas J. Hagedorn, Barry Smith, Sundar Krishnamurty, Ian R. Grosse

    • Resumen

    págs. 625-654

    

  • Physics-based simulation ontology: an ontology to support modelling and reuse of data for physics-based simulation

    Hyunmin Cheong, Adrian Butscher

    • Resumen

    págs. 655-687

    

  • Capturing simulation intent in an ontology: CAD and CAE integration application

    Flavien Boussuge, Christopher M. Tierney, Harold Vilmart, Trevor T. Robinson, C.G. Armstrong, Declan C. Nolan, Jean-Claude Léon, Federico Ulliana

    • Resumen

    págs. 688-725

    

  • Ontology-based uncertainty management approach in designing of robust decision workflows

    Ru Wang, Anand Balu Nellippallil, Guoxin Wang, Yan Yan, Janet K. Allen, Farrokh Mistree

    • Resumen

    págs. 726-757