Skip to main content

Advertisement

Log in

Ontology mediation method for building multilingual ontologies

  • Original Research
  • Published:
International Journal of Information Technology Aims and scope Submit manuscript

Abstract

Ontology is an emerging technology in building knowledge based information retrieval systems. It is used to conceptualize the information in human understandable manner. Over the years, much importance was given to the systematic development of ontologies. As a result many methods and strategies to build ontology in different domains came up in the field of ontological engineering. These methods contained different steps to plan, design and build ontology efficiently. Most of these methods provided a generic structure to construct ontology. The development of ontology has cut across different domains and applications and this has arisen a need to develop methods to build ontologies in various applications. Nowadays, multilingual ontology applications are developed in various domains to have Knowledge based information retrieval according to the language preferred by user. Multilingual ontology allows sharing of information and data in different languages and thus facilitates multi-language users. A method to develop multilingual ontologies is in need now. In this paper, we propose an ontology mediation method to develop multilingual ontology applications. It explains the steps involved in the development process. A six step method is followed which is done iteratively to develop multilingual ontologies. Merging and mapping techniques are also used in mediation of multilingual ontologies. New algorithms are proposed for merging and mapping multilingual ontologies. The proposed method is experimented by developing multilingual ontology application for Thirukkural, the famous Tamil literature. The experimental results show that multilingual ontologies can be developed using the proposed method and semantic knowledge can be retrieved from the multilingual ontology.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Kumar N (2013) Ontology based books information retrieval using SPARQL. Int J Comput Appl 67(13):0975–8887

    Google Scholar 

  2. Gómez-Pérez A, Fernández-López M, Corcho O (2004) Ontological engineering with examples from the areas of knowledge management, e-commerce and the semantic web. Springer, London

    Google Scholar 

  3. University, Standford. Protege. [Online] http://protege.stanford.edu/

  4. Motta E. NeOn. [Online] [cited: 28 July 2014]. http://neon-toolkit.org/wiki/Main_Page.html

  5. Osumi-Sutherland D. OBO—Edit. [Online] 23 July 2009. [Cited: 21 July 2010]. https://www.bioontology.org/wiki/index.php/OBO-Edit

  6. KACTUS (1996) The KACTUS booklet version 1.0. Esprit Project 8145 KACTUS. http://www.swi.psy.uva.nl/projects/NewKACTUS/Reports.html

  7. Swartout B et al (1997) Toward distributed use of large-scale ontologies. In: Symposium on ontological engineering of AAAI, Stanford, California

  8. Uschold M, King M (1995) Towards a methodology for building ontologies. In: IJCAI’95 workshop on basic ontological issues in knowledge, Montreal, Canada, pp 6.1–6.10

  9. Fernández-López M, Gómez-Pérez A, Juristo N (1997) METHONTOLOGY: from ontological art towards ontological engineering. In: Spring symposium on ontological engineering of AAAI, Stanford University, California, pp 33–40

  10. Cristani M, Cuel R (2005) A survey on ontology creation methodologies. Int J Semant Web Inf Syst 1(2):48–68

    Article  Google Scholar 

  11. Kietz JU, Maedche A, Volz R (2000) Method for semi-automatic ontology acquisition from a corporate intranet. In: EKAW’00 workshop on ontologies and texts, Juan-les-Pins, French Riviera

  12. Aussenac-Gilles N, Biébow B, Szulman S (2000) Corpus analysis for conceptual modelling, vol 51. In: CEUR workshop proceedings, Juan-Les-Pins, France, pp 1.1–1.8

  13. Fernández López M (1999) Overview of methodologies for building ontologies. In: Proceedings of the IJCAI-99 workshop on ontologies and problem-solving methods (KRR5), Stockholm, Sweden

  14. Corcho O, Fernández-López M, Gómez-Pérez A (2003) Methodologies, tools and languages for building ontologies. Where is their meeting point?. Data Knowledge Eng 46(1):41–64

    Article  Google Scholar 

  15. Dos Santos CT, Quaresma P, Vieira R (2010) An API for multilingual ontology matching. In: Proceedings of 7th conference on language resources and evaluation conference (LREC), Valletta, Malta, pp 3830–3835

  16. Ganapathy G, Lourdusamy R (2010) Ontology merging and matching using ontology abstract machine. In: Proceedings of knowledge management 5th international conference, Malaysia

  17. Dos Santos CT, Quaresma P, Vieira R (2008) A framework for multilingual ontology mapping. In: LREC

  18. Schwall J (2007) Creating an ontology for a multilingual e-commerce dictionary. University of Münster, Munster

    Google Scholar 

  19. Mejía ME, Montiel-Ponsoda E, de Cea GA, Gómez-Pérez A (2012) Ontology localization. In: Suárez-Figueroa MC, Gómez-Pérez A, Motta E, Gangemi A (eds) Ontology engineering in a networked world. Springer, Berlin, Heidelberg, pp 171–191

  20. De Melo G, Siersdorfer S (2011) Multilingual text classification using ontologies. Springer, Berlin

  21. Shvaiko P, Euzenat J (2013) Ontology matching: state of the art and future challenges. IEEE Trans Knowl Data Eng 25(1):158–176

    Article  Google Scholar 

  22. Lambrix P, Tan H (2006) SAMBO—a system for aligning and merging biomedical ontologies. J Web Semant 4(1):196–206

    Article  Google Scholar 

  23. Hu W, Qu Y, Cheng G (2008) Matching large ontologies: a divide-and-conquer approach. Data Knowl Eng 67(1):40–160

    Article  Google Scholar 

  24. Jean-Mary YR, Shironoshita EP, Kabuka MR (2009) Ontology matching with semantic verification. J Web Semant 7(3):235–251

    Article  Google Scholar 

  25. Gangemi A, Steve G, Giacomelli F (1996) ONIONS: an ontological methodology for taxonomic knowledge integration. In: Proceedings of the workshop on ontological engineering, ECAI96

  26. Noy NF, Musen MA (2003) The PROMPT suite: interactive tools for ontology merging and mapping. Int J Hum Comput Stud 59(6):983–1024

    Article  Google Scholar 

  27. Stumme G, Madche A (2001) FCA-merge: bottom-up merging of ontologies. In: 7th international conference on artificial intelligence (IJCAI’01)

  28. Noy NF, Musen MA (1999) SMART: automated support for ontology merging and alignment. In: Proceedings of the 12th workshop on knowledge acquisition, modelling, and management (KAW’99), Canada

  29. Lourdusamy R, Florrence JM (2016) Methods, approaches, principles, guidelines and applications on multilingual ontologies: a survey. ICTACT J Soft Comput (IJSC) 7(1):2229–6959

    Google Scholar 

  30. Beckett D. What does SPARQL stand for? SPARQL. [Online] 6 Oct 2011. [Cited 21 July 2016]. https://en.wikipedia.org/wiki/SPARQL#cite_note-2

Download references

Acknowledgements

This research is financially supported by the University Grants Commission (UGC) of Government of India and Grant MRP-5765/15(SERO/UGC).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Merlin Florrence Joseph.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Joseph, M.F., Lourdusamy, R. Ontology mediation method for building multilingual ontologies. Int. j. inf. tecnol. 10, 11–19 (2018). https://doi.org/10.1007/s41870-017-0068-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41870-017-0068-x

Keywords

Navigation