Advertisement

Domain Ontology for Expressing Knowledge of Variants of Thermally Modified Wood Products

  • Hele-Mai Haav
  • Riina Maigre
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 838)

Abstract

The thermally modified wood producer Thermory AS manufactures about 400 different products, which are ordered in large number of variants that makes the expression of the product variant knowledge and its validation very important. In this paper, we express knowledge of product variants as domain ontology in order to capture the product knowledge in the way that is consistent and shareable between humans and machines. Using Ontology Web Language (OWL) as Description Logics (DL) based ontology representation language enables to detect inconsistency in the product knowledge and customer order requirements. Constraints on valid product variants are expressed as OWL class expressions and as rules in Semantic Web Rule Language (SWRL). The provided knowledge representation method makes it possible to reduce combinatorial complexity of description of product variants and to place correct manufacturing orders saving time and money for the company.

Keywords

Ontology OWL Product variant management SWRL  SPARQL 

Notes

Acknowledgement

This work was partially supported by the Institutional Research Grant IUT33-13 of the Estonian Research Council.

References

  1. 1.
    Acher, M., Collet, P., Lahire, P., France, R.: Comparing approaches to implement feature model composition. In: Kühne, T., Selic, B., Gervais, M.-P., Terrier, F. (eds.) ECMFA 2010. LNCS, vol. 6138, pp. 3–19. Springer, Heidelberg (2010).  https://doi.org/10.1007/978-3-642-13595-8_3CrossRefGoogle Scholar
  2. 2.
    Genesereth, M.R., Fikes, R.E.: Knowledge Interchange Format Reference Manual. Technical report, Computer Science Department, Stanford University (1992)Google Scholar
  3. 3.
    Gruber, T.R.: Ontolingua: A Mechanism to Support Portable Ontologies. Technical report, Stanford University (1992)Google Scholar
  4. 4.
    Horrocks, I., et al.: SWRL: A Semantic Web Rule Language Combining OWL and RuleML. https://www.w3.org/Submission/SWRL. Accessed 05 Mar 2018
  5. 5.
    Ines, C., Crepinšek, M., Kosar, T., Mernik, M.: Ontology driven development of domain-specific languages. Comput. Sci. Inf. Syst. 8(2), 317–342 (2011)CrossRefGoogle Scholar
  6. 6.
    Knublauch, H., Hendler, J.A., Idehen, K.: SPIN - Overview and Motivation. https://www.w3.org/Submission/spin-overview/. Accessed 15 May 2018
  7. 7.
    Krueger, C., Clements, P.: Enterprise feature ontology for feature-based product line engineering and operations. In: Proceedings of SPLC 2017, 10 p. ACM, Spain (2017)Google Scholar
  8. 8.
    McGuinness, D., Wright, J.R.: An industrial - strength description logic-based configurator platform. IEEE Intell. Syst. 13(4), 69–77 (1998)CrossRefGoogle Scholar
  9. 9.
    Motik, B., et al.: OWL 2 Web Ontology Language: Structural Specification and Functional-Style Syntax. http://www.w3.org/TR/owl2-syntax. Accessed 04 Mar 2018
  10. 10.
    Patel-Schneider, P.F., McGuinness, D.L., Brachman, R.J., Resnick, L.A.: The CLASSIC knowledge representation system: guiding principles and implementation rationale. SIGART Bull. 2(3), 108–113 (1991)CrossRefGoogle Scholar
  11. 11.
    Sirin, E., Parsia, B., Grau, B.C., Kalyanpur, A., Katz, Y.: Pellet: A Practical OWL-DL Reasoner. Technical report, CS 4766, University of Maryland, College Park (2005)Google Scholar
  12. 12.
    Soininen, T., Tiihonen, J., Mannisto, T., Sulonen, R.: Towards a general ontology of configuration. Artif. Intell. Eng. Des. Anal. Manuf. AI EDAM 12(4), 357–372 (1998)Google Scholar
  13. 13.
    SPARQL 1.1 W3C Recommendation Page. https://www.w3.org/TR/sparql11-overview/. Accessed 04 Mar 2018
  14. 14.
    Xuanyuan, S., Li, Y., Patil, L., Jiang, Z.: Configuration semantics representation: a rule-based ontology for product configuration. In: Proceedings of SAI Computing Conference, pp. 734–741. IEEE (2013)Google Scholar
  15. 15.
    Yang, D., Dong, M., Miao, R.: Development of a product configuration system with an ontology-based approach. Comput. Aided Des. 40(8), 863–878 (2008)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Department of Software ScienceTallinn University of TechnologyTallinnEstonia

Personalised recommendations