CDM-Core: A Manufacturing Domain Ontology in OWL2 for Production and Maintenance

Luca Mazzola, Patrick Kapahnke, Marko Vujic, Matthias Klusch

Abstract

Ontology engineering is known to be a complex, time-consuming, and costly process, in particular, if an ontology has to be developed from scratch, and respective domain knowledge has to be formally encoded. This paper presents the largest publicly available manufacturing ontology CDM-Core in the standard formal ontology language OWL2 (available at: http://sourceforge.net/projects/cdm-core/). The CDM-Core ontology has been developed within the European research project CREMA in close collaboration with the user partners in order to sufficiently cover the CREMA use case domains of metal press maintenance and automative exhaust production. CDM-Core makes use of many relevant standard vocabularies and ontologies, with only about one fifth of its size being CREMA use case specific. The practical applicability of CDM-Core for semantic annotation of domain-related process models, sensor data and services has been approved by the user partners, and its quality according to selected common criteria of verification and validation was successfully evaluated. From the public release of the CDM-Core, we expect to cover the lack of a base common ontology for the manufacturing domain, thanks to feedbacks from industrial reuse and improvements from the community.

References

  1. Boissel-Dallier, N., Benaben, F., Lorré, J.-P., and Pingaud, H. (2015). Mediation information system engineering based on hybrid service composition mechanism. Journal of Systems and Software, 108:39-59.
  2. Compton, M., Barnaghi, P., Bermudez, L., GarcíA-Castro, R., Corcho, O., Cox, S., Graybeal, J., Hauswirth, M., Henson, C., Herzog, A., et al. (2012). The ssn ontology of the w3c semantic sensor network incubator group. Web Semantics: Science, Services and Agents on the World Wide Web, 17:25-32.
  3. Consortium, W. W. W. et al. (2012). Owl 2 web ontology language document overview.
  4. CREMA consortium (2016a). D7.2 - use case 1 machinery maintenance definition. Public deliverable, The CREMA Project (H2020-637066).
  5. CREMA consortium (2016b). D8.2 - use case 2 (automotive) definition. Public deliverable, The CREMA Project (H2020-637066).
  6. Flouris, G., Huang, Z., Pan, J. Z., Plexousakis, D., and Wache, H. (2006). Inconsistencies, negations and changes in ontologies. In Proceedings of the National Conference on Artificial Intelligence , volume 21, page 1295. Menlo Park, CA; Cambridge, MA; London; AAAI Press; MIT Press; 1999.
  7. Gangemi, A. (2012). Dolce+ dns ultralite (dul) ontology, july 2012.
  8. Gómez-Pérez, A., Fernández-López, M., and Corcho, O. (2003). Ontological engineering. advanced information and knowlege processing.
  9. Gray, A. J., García-Castro, R., Kyzirakos, K., Karpathiotakis, M., Calbimonte, J.-P., Page, K., Sadler, J., Frazer, A., Galpin, I., Fernandes, A. A., et al. (2011). A semantically enabled service architecture for mashups over streaming and stored data. In Extended Semantic Web Conference, pages 300-314. Springer.
  10. Günel, A., Meshram, A., Bley, T., Schuetze, A., and Klusch, M. (2013). Statistical and semantic multisensor data evaluation for fluid condition monitoring in wind turbines. In Proc. 16th Intl. Conf. on Sensors and Measurement Technology, Germany.
  11. Hobbs, J. R. and Pan, F. (2006). Time ontology in owl. W3C working draft, 27:133.
  12. Iannella, R. and McKinney, J. (2013). vcard ontology-for describing people and organizations. Web Page. URL: http://www. w3. org/TR/vcard-rdf/accessed, pages 19- 10.
  13. Klusch, M. (2008a). Semantic web service coordination. In CASCOM: Intelligent Service Coordination in the Semantic Web, pages 59-104. Springer.
  14. Klusch, M. (2008b). Semantic web service description. In CASCOM: intelligent service coordination in the semantic web, pages 31-57. Springer.
  15. Lathem, J., Gomadam, K., and Sheth, A. P. (2007). Sa-rest and (s) mashups: Adding semantics to restful services.
  16. Lemaignan, S., Siadat, A., Dantan, J.-Y., and Semenenko, A. (2006). Mason: A proposal for an ontology of manufacturing domain. In Distributed Intelligent Systems: Collective Intelligence and Its Applications, 2006. DIS 2006. IEEE Workshop on, pages 195-200. IEEE.
  17. Lozano-Tello, A. and Gómez-Pérez, A. (2004). Ontometric: A method to choose the appropriate ontology. Journal of database management, 2(15):1-18.
  18. MacKenzie, C. M., Laskey, K., McCabe, F., Brown, P. F., Metz, R., and Hamilton, B. A. (2006). Reference model for service oriented architecture 1.0. OASIS standard, 12.
  19. Martin, D., Burstein, M., Hobbs, J., Lassila, O., McDermott, D., McIlraith, S., Narayanan, S., Paolucci, M., Parsia, B., Payne, T., et al. (2004). Owl-s: Semantic markup for web services. W3C member submission, 22:2007-04.
  20. Mazzola, L., Kapahnke, P., Vujic, M., and Klusch, M. (2016). Cdm-core. ontology public source code. http://sourceforge.net/projects/cdm-core/.
  21. Paolucci, M., Kawamura, T., Payne, T. R., and Sycara, K. (2002). Semantic matching of web services capabilities. In International Semantic Web Conference, pages 333-347. Springer.
  22. Pinto, H. S., Staab, S., and Tempich, C. (2004). Diligent: Towards a fine-grained methodology for distributed, loosely-controlled and evolving. In Proceedings of the 16th European Conference on Artificial Intelligence (ECAI 2004), volume 110, page 393.
  23. Raimond, Y. and Abdallah, S. (2006). The timeline ontology. OWL-DL ontology.
  24. Reynolds, D. (2014). An organization ontology. URL http://www. w3. org/TR/vocab-org.
  25. Simperl, E. P. B., Mochol, M., and Bürger, T. (2010). Achieving maturity: the state of practice in ontology engineering in 2009. IJCSA, 7(1):45-65.
  26. Sirin, E., Parsia, B., Grau, B. C., Kalyanpur, A., and Katz, Y. (2007). Pellet: A practical OWL-DL reasoner. Web Semantics: Science, Services and Agents on the World Wide Web, 5(2):51-53.
  27. Sure, Y., Staab, S., and Studer, R. (2009). Ontology engineering methodology. In Handbook on ontologies, pages 135-152. Springer.
  28. Tartir, S., Arpinar, I. B., Moore, M., Sheth, A. P., and Aleman-Meza, B. (2005). Ontoqa: Metric-based ontology quality analysis.
  29. Tempich, C., Pinto, H. S., Sure, Y., and Staab, S. (2005). An argumentation ontology for distributed, looselycontrolled and evolving engineering processes of ontologies (diligent). In European Semantic Web Conference, pages 241-256. Springer.
  30. Vrandecic, D. (2010). Ontology evaluation.
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Paper Citation


in Harvard Style

Mazzola L., Kapahnke P., Vujic M. and Klusch M. (2016). CDM-Core: A Manufacturing Domain Ontology in OWL2 for Production and Maintenance . In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2016) ISBN 978-989-758-203-5, pages 136-143. DOI: 10.5220/0006056301360143


in Bibtex Style

@conference{keod16,
author={Luca Mazzola and Patrick Kapahnke and Marko Vujic and Matthias Klusch},
title={CDM-Core: A Manufacturing Domain Ontology in OWL2 for Production and Maintenance},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2016)},
year={2016},
pages={136-143},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006056301360143},
isbn={978-989-758-203-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2016)
TI - CDM-Core: A Manufacturing Domain Ontology in OWL2 for Production and Maintenance
SN - 978-989-758-203-5
AU - Mazzola L.
AU - Kapahnke P.
AU - Vujic M.
AU - Klusch M.
PY - 2016
SP - 136
EP - 143
DO - 10.5220/0006056301360143