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Developing an Ontology for Joints in Furniture Design

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Formal Ontologies Meet Industry (FOMI 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 225))

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Abstract

Ontologies help represent knowledge as a hierarchy of concepts within a domain and highlights the relationships between these concepts. Many businesses implement ontologies to use it to create and define their enterprise architecture framework. Business that specialize in customization use ontologies not only to define their business model but to use it to make inferences and grow their capabilities. In this paper we create an ontology of joints for a furniture customization company that could be used to make further inferences about all the possible furniture combinations in the scope of the domain. To achieve this objective, axioms that describe the various joint types are specified in first order logic and tested in Prover9/Mace4. The results demonstrate that the ontology captures the intended semantics of the different types of joints within furniture manufacturing and can be extended to make further inferences about possible furniture compositions.

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Notes

  1. 1.

    The axioms within each module can be found at colore.oor.net/boxworld/.

  2. 2.

    colore.oor.net/betweenness/pasch.clif.

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Authors and Affiliations

  1. Department of Mechanical and Industrial Engineering, University of Toronto, Ontario, M5S 3G8, Canada

    Jyotsna Shrivastava & Michael Grüninger

Authors
  1. Jyotsna Shrivastava
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  2. Michael Grüninger
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Corresponding author

Correspondence to Michael Grüninger .

Editor information

Editors and Affiliations

  1. Department of Management and Computer Science (DISA), University of Trento, Trento, Italy

    Roberta Cuel

  2. Loughborough University, Loughborough, United Kingdom

    Robert Young

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Shrivastava, J., Grüninger, M. (2015). Developing an Ontology for Joints in Furniture Design. In: Cuel, R., Young, R. (eds) Formal Ontologies Meet Industry. FOMI 2015. Lecture Notes in Business Information Processing, vol 225. Springer, Cham. https://doi.org/10.1007/978-3-319-21545-7_8

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  • DOI: https://doi.org/10.1007/978-3-319-21545-7_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21544-0

  • Online ISBN: 978-3-319-21545-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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