A LIGHTWEIGHT ELEMENT MATCHING METHOD FOR INDUSTRIAL TERMINOLOGY HARMONIZATION - Exploiting Minimal Semantics based on Naming Conventions

Pekka Aarnio, Seppo Sierla, Kari Koskinen

Abstract

Harmonization of terminologies used in industrial standards has been widely understood to be necessary for better interoperability of industrial information systems. Partial automation of the terminology comparison and matching phases of this process is necessary, in order to reduce the workload of human experts. Terminology dictionaries have been developed by various national or international organizations and for different contexts, so their taxonomy structure and lexical content can be very different. Further, because they cannot be considered as true ontologies, advanced ontology matching techniques are not directly applicable. The goal of our research was to develop a lightweight element matching approach based on structural similarities of concept names. This approach is applicable, when similar naming conventions and rules have been applied during the development of both terminology dictionaries. In this paper, we present a new ElemMatcher method and demonstrate its application to the harmonization of PSK standards with ISO 15926-4. PSK Standardisation is an association of Finnish industry.

References

  1. CEN Orchid Roadmap - Standardising information in the plant engineering supply chain. Parts 1-3. [referenced 2011-04-15]. Available at: http://www.cen.eu/CEN/ sectors/sectors/isss/workshops/Pages/workshop orchi d.aspx).
  2. Euzenat, J. Shvaiko, P., 2007. Ontology Alignment. Springer. ISBN 978-3-540-49611-3.
  3. Fiorentini, X., Rachuri, S., Ray, S., Sriram, R., 2009. Towards a method for harmonizing information standards. 5th Annual IEEE Conference on Automation Science and Engineering. Bangalore, India, August 22-25, 2009.
  4. Giunchiglia, F., Yatskevich, M., Shvaiko, P., 2007. Semantic Matching: Algorithms and Implementation. Technical Report # DIT-07-001, Department of Information and communication Technology, University of Trento.
  5. Giunchiglia, F., Dutta, B., and Maltese, V., 2009. Faceted Lightweight Ontologies. Conceptual Modeling: Foundations and Applications. Alex Borgida, Vinay Chaudhri, Paolo Giorgini, Eric Yu (Eds.) LNCS,Vol. 5600, Springer, pp 36-51.
  6. ISO 704:2000,Terminology work - Principles and methods. [referenced 2011-04-15]. Available at: http://www.iso.org/iso/store.htm
  7. ISO 860:2007 Terminology work - Harmonization of concepts and terms. [referenced 2011-04-15]. Available at: http://www.iso.org/iso/store.htm
  8. ISO 15926:2007, Industrial automation systems and integration - Integration of life-cycle data for process plants including oil and gas production facilities. [referenced 2011-04-15]. Available at: http://www.iso. org/iso/iso_catalogue/catalogue_tc
  9. ISO 15926-4:2010, Industrial automation systems and integration - Integration of life-cycle data for process plants including oil and gas production facilities - Part 4: Initial reference data. [referenced 2011-04-15]. (ed1 files available at: http://ng.tc184-sc4.org/index.cfm? PID=804&FID=56498&r=/)
  10. ISO/IEC 11179-5:2010 Information technology - Metadata registries. Part 5: Naming and identification principles. [referenced 2011-04-15]. Available at: http://metadata-stds.org/11179/
  11. Jean-Marya, Y., Shironoshitaa, E., Kabuka, M., 2009. Ontology matching with semantic verification. Web Semantics: Science, Services and Agents on the WorldWideWeb 7. Elsevier. 235-251
  12. Lauser, B., et al., (2008), 'Comparing human and automatic thesaurus mapping approaches in the agricultural domain'. In Proceedings of the 2008 International Conference on Dublin Core and Metadata Applications, pp. 43-53.
  13. Leukel, J., 2006. Controlling Property Growth in Product Classification Schemes: A data management Approach. Enterprise Information Systems: 8th International Conference, ICEIS 2006.
  14. PSK Standardisation. [website]. [referenced 2011-04-15]. Available at: http://www.psk-standardisointi.fi/
  15. Rahm, E., Bernstein, P., 2001. A survey of approaches to automatic schema matching. T.he VLDB Journal 10, Springer. pp. 334-350
  16. Shvaiko, P., Euzenat, J. 2005. A Survey of Schema-Based Matching Approaches LNCS 3730, Springer. pp. 146- 171.
  17. Shvaiko, P., Euzenat, J., 2008. Ten Challenges for Ontology Matching. LNCS 5332, Springer. pp. 1164- 1182.
  18. Uslar, M., Rohjans, S., 2009. Ontology-based Integration of the Heterogeneous Standards IEC 61970 and 61850. In: Proceedings of International ETGKongress 2009. VDE Verlag Gmbh. Paper 1.59.
  19. WordNet - A Lexical Database for English. Princeton University. [referenced 2011-04-15] http://wordnet. princeton.edu/
  20. Zhan, P., Jayaram, U., Kim, O., Zhu, L., 2010. Knowledge Representation and Ontology Mapping Methods for Product Data in Engineering Applications. Journal of Computing and Information Science in Engineering. June 2010, Vol. 10.
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Paper Citation


in Harvard Style

Aarnio P., Sierla S. and Koskinen K. (2011). A LIGHTWEIGHT ELEMENT MATCHING METHOD FOR INDUSTRIAL TERMINOLOGY HARMONIZATION - Exploiting Minimal Semantics based on Naming Conventions . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011) ISBN 978-989-8425-80-5, pages 390-395. DOI: 10.5220/0003640803900395


in Bibtex Style

@conference{keod11,
author={Pekka Aarnio and Seppo Sierla and Kari Koskinen},
title={A LIGHTWEIGHT ELEMENT MATCHING METHOD FOR INDUSTRIAL TERMINOLOGY HARMONIZATION - Exploiting Minimal Semantics based on Naming Conventions},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)},
year={2011},
pages={390-395},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003640803900395},
isbn={978-989-8425-80-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)
TI - A LIGHTWEIGHT ELEMENT MATCHING METHOD FOR INDUSTRIAL TERMINOLOGY HARMONIZATION - Exploiting Minimal Semantics based on Naming Conventions
SN - 978-989-8425-80-5
AU - Aarnio P.
AU - Sierla S.
AU - Koskinen K.
PY - 2011
SP - 390
EP - 395
DO - 10.5220/0003640803900395