Advertisement

Development of Imaginary Beings Ontology

  • Wirapong Chansanam
  • Kulthida Tuamsuk
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10075)

Abstract

A knowledge organization system is the key element of knowledge engineering. Ontology provides a fundamental framework for the development of the Semantic Web. This paper presents a building method for an imaginary beings’ knowledge base. According to the approach, we established an ontological structure including primitive and contemporary imaginary beings’ information. Combining the existent creature knowledge, we have applied the idealized cognitive models: ICM to build the knowledge system. Based on the introduction of ontology theory, we use Hozo of the Osaka University, for the construction, editor, and maintenance tool of ontology, to design and complete the imaginary beings’ knowledge, based on ontology. The resulting ontology, Imaginary Beings Ontology (IBO), covers concepts derived from old as well as contemporary information. The system is applied to semantic web technology. The validity of IBO was evaluated by eight professional experts—three ontology engineers and five comics experts; this system makes significant improvements in the key techniques including the scope determination, classes definition, properties definition, instance definition, and future development and application. Finally, we describe our results that the system could resolve many problems in the field of imaginary beings’ knowledge engineering.

Keywords

Imaginary beings Ontology development Semantic web Knowledge-based systems 

Notes

Acknowledgement

This research is funded by the Digital Humanities Research Group of Khon Kaen University, Thailand.

References

  1. 1.
    Hornby, A.S., Cowie, A.P., Gimson, A.C.: Oxford Advanced Learner’s Dictionary of Current English, 3rd edn. Oxford University Press, Oxford (1973)Google Scholar
  2. 2.
    Wiegand, G.E.: Two new genera of calcareous nanofossils from the Lower Jurassic. J. Paleontol. 58, 1151–1155 (1984)Google Scholar
  3. 3.
    Berkov, V.P.: A Modern Bilingual Dictionary-Results and Prospects. Akademiai Kiado, Budapest (1990)Google Scholar
  4. 4.
    Bamber, S. Trope and taxonomy: an examination of the classification and treatment of illness in traditional Thai medicine [dissertation]. Australian National University, Canberra (1987)Google Scholar
  5. 5.
    Kitamura, Y., Qu, Y., Mizoguchi, R. (eds.): Semantic Technology, pp. 306–312. Springer, Heidelberg (2012)Google Scholar
  6. 6.
    Noy, F., McGuinness. L.: Ontology Development 101: A Guide to Creating Your First Ontology. http://protege.stanford.edu/publications/ontology_development/ontology101.html
  7. 7.
    Wielinga B.J., Schreiber A. T., Wielemaker J., Sandberg, J.A.C.: From thesaurus to ontology. In: Proceedings of the International Conference on Knowledge Capture, pp. 194–201. ACM Press (2001)Google Scholar
  8. 8.
    Tungkwampian, W., Theerarungchaisri, A., Buranarach, M.: Development Thai herbal medicine knowledge base using ontology technique. Thai J. Pharmaceutical Sci. (TJPS), 39(3), 64–126 (2015)Google Scholar
  9. 9.
    Jidong, Z., Yisheng, Y.: Construction and research of ontology based on thesaurus. In: Document, Information & Knowledge (2006)Google Scholar
  10. 10.
    Steinberger, R., Pouliquen, B., Hagman, J.: Cross-lingual document similarity calculation using the multilingual thesaurus EUROVOC. In: Gelbukh, A. (ed.) CICLing 2002. LNCS, vol. 2276, pp. 415–424. Springer, Heidelberg (2002)Google Scholar
  11. 11.
    Mizoguchi, R., Kozaki, K., Sano, T., Kitamura, Y.: Construction and deployment of a plant ontology. In: Dieng, R., Corby, O. (eds.) EKAW 2000. LNCS (LNAI), vol. 1937, pp. 113–128. Springer, Heidelberg (2000). doi: 10.1007/3-540-39967-4_9 CrossRefGoogle Scholar
  12. 12.
    Kozaki, K., Kitamura, Y., Ikeda, M., Mizoguchi, R.: Hozo: an environment for building/using ontologies based on a fundamental consideration of “Role” and “Relationship”. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, pp. 213–218. Springer, Heidelberg (2002). doi: 10.1007/3-540-45810-7_21 CrossRefGoogle Scholar
  13. 13.
    Kozaki, K., Sunagawa, E., Kitamura, Y., Mizoguchi, R.: Distributed construction of ontologies using hozo (2007). http://www.www2007.org/workshops/paper_19.pdf. Accessed 10 May 2010
  14. 14.
    Buranarach, M., Thein, Y.M., Supnithi, T.: A community-driven approach to development of an ontology-based application management framework. In: Takeda, H., Qu, Y., Mizoguchi, R., Kitamura, Y. (eds.) JIST 2012. LNCS, vol. 7774, pp. 306–312. Springer, Heidelberg (2013). doi: 10.1007/978-3-642-37996-3_21 CrossRefGoogle Scholar
  15. 15.
    Lakoff, G.: Cognitive models and prototype theory. In: Neisser, U. (ed.) Concepts and Conceptual Development: Ecological and Intellectual Factors in Categorization, pp. 63–100. Cambridge University Press, New York (1987)Google Scholar
  16. 16.
    Chansanam, W., Tuamsuk, K.: Development of an imaginary beings knowledge structure. In: Allen, R.B., Hunter, R., Zeng, M.L. (eds.) ICADL 2015. LNCS(LNAI and LNBI), vol. 9469, pp. 291–293. Springer, Heidelberg (2015). doi: 10.1007/978-3-319-27974-9 Google Scholar
  17. 17.
    Novak, J.D.: Learning, Creating and Using Knowledge: Concept Maps as Facilitative Tools in Schools and Corporations. Lawrence Erlbaum Associates, Mahwah (1998)Google Scholar
  18. 18.
    Derbentseva, N., Safayeni, F., Cañas, A.A.: Experiments on the effects of map structure and concept quantification during concept map construction. In: Proceedings of the First International Conference on Concept Mapping, vol. 1. Universidad Pública de Navarra, Pamplona (2004)Google Scholar
  19. 19.
    Bird, S., Klein, E., Loper, E.: Natural Language Processing with Python. O’reilly & Associates Inc., Sebastopol (2009)zbMATHGoogle Scholar
  20. 20.
    Borgida, A., Brachman, R.J.: Conceptual modeling with description Logics. In: Baader et al. (eds.) The Description Logic Handbook: Theory, Implementation and Applications, pp. 359–381. Cambridge University Press, Cambridge (2002). (Chap. 10)Google Scholar
  21. 21.
    Stokes, M. (ed.): Managing Engineering Knowledge. ASME Press, New York (2001)Google Scholar
  22. 22.
    Rector, A., Welty, C., Noy, N., Wallace, E.: Simple Part-Whole Relations in OWL Ontologies, August 2005Google Scholar
  23. 23.
    Borges, J.L., Guerrero, M.: The book of imaginary beings. Dutton, New York (1969)Google Scholar
  24. 24.
    Belew, R.K.: Finding out About: A Cognitive Perspective on Search Engine Technology and the www. Cambridge. Cambridge University Press (2000)Google Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Chaiyaphum Rajabhat UniversityChaiyaphumThailand
  2. 2.Information and Communication DepartmentKhon Kaen UniversityKhon KaenThailand

Personalised recommendations