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Ontology Methodology Building Criteria for Crowdsourcing Innovation Intermediaries

  • Cândida SilvaEmail author
  • Isabel Ramos
Conference paper
  • 568 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 553)

Abstract

Crowdsourcing innovation intermediaries are organizations that mediate the communication and relationship between companies that aspire to solve some problem or to take advantage of any business opportunity with a crowd that is prone to give ideas based on their knowledge, experience and wisdom. A significant part of the activity of these intermediaries is carried out by using a web platform that takes advantage of web 2.0 tools to implement its capabilities. Thus, ontologies are presented as an appropriate strategy to represent the knowledge inherent to this activity and therefore the accomplishment of interoperability between machines and systems. In this paper we present an ontology roadmap for developing crowdsourcing innovation ontology of the intermediation process. We start making a literature review on ontology building, analyze and compare ontologies that propose the development from scratch with the ones that propose reusing other ontologies, and present the criteria for selecting the methodology. We also review enterprise and innovation ontologies known in literature. Finally, are taken some conclusions and presented the roadmap for building crowdsourcing innovation intermediary ontology.

Keywords

Ontology building methodologies Crowdsourcing innovation Innovation ontology Ontology enterprise 

References

  1. 1.
    Hepp, M.: Ontologies: state of art, business potential, and grand challenges. In: Hepp, M., De Leenheer, P., de Moor, A., Sure, Y. (eds.) Ontology Management: Semantic Web, Semantic Web Services, and Business Applications, pp. 3–22. Springer, Berlin (2007)Google Scholar
  2. 2.
    Chesbrough, H.W., Chesbrought, H., Vanhaverbeke, W., West, J.: Open Innovation: Researching a New Paradigm. Oxford University Press, Oxford (2006)Google Scholar
  3. 3.
    Howe, J.: The rise of crowdsourcing. Wired Mag. 14(06), 1–4 (2006)Google Scholar
  4. 4.
    Howe, J.: Crowdsourcing: How the Power of the Crowd is Driving the Future of Business. Crown Business. Random House, New York (2008)Google Scholar
  5. 5.
    Surowiecki, J.: The Wisdom of Crowds. Anchor Books, New York (2005)Google Scholar
  6. 6.
    Ramos, I., Cardoso, M., Carvalho, J.V., Graça, J.I.: An action research on open knowledge and technology transfer. In: Dhillon, G., Stahl, B.C., Baskerville, R. (eds.) CreativeSME 2009. IFIP AICT, vol. 301, pp. 211–223. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  7. 7.
    Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing? Int. J. Hum. Comput. Stud. 43(5–6), 907–928 (1995)CrossRefGoogle Scholar
  8. 8.
    Gasevic, D., Djuric, D., Devedzic, V.: Model Driven Architecture and Ontology Development. Springer, Berlin (2006)Google Scholar
  9. 9.
    Fensel, D.: Ontologies: A Silves Bullet for Knowledge Management and Electronic Commerce, 2nd edn. Springer, Berlin (2004)CrossRefzbMATHGoogle Scholar
  10. 10.
    Guarino, N.: Formal ontology, conceptual analysis and knowedge representation. Int. J. Hum. Comput. Stud. 43(5/6), 625–640 (1995)CrossRefGoogle Scholar
  11. 11.
    Mizoguchi, R., Vanwelkenhuysen, J., Ikeda, M.: Task ontology for reuse of problem solving knowledge. In: Mars, N.J.I. (ed.) Towards Very Large Knowledge Bases: Knowledge Building & Knowledge Sharing. IOS Press, Amsterdam (1995)Google Scholar
  12. 12.
    Uschold, M., Gruninger, M.: Ontologies: principles, methods and applications. Knowl. Eng. Rev. 11(02), 93–136 (1996)CrossRefGoogle Scholar
  13. 13.
    van Heijst, G., Schreiber, A.T., Wielinga, B.J.: Using explicit ontologies in KBS development. Int. J. Hum. Comput. Stud. 46(2–3), 183–292 (1997)CrossRefzbMATHGoogle Scholar
  14. 14.
    Guarino, N.: Formal ontology in information systems. In: Proceedings of FOIS 1998, Trento, Italy (1998)Google Scholar
  15. 15.
    Lassila, O., McGuinness, D.: The role of frame-based representation on the semantic web. Knowledge Systems Laboratory, Stanford, Technical report KSL-01-02 (2001)Google Scholar
  16. 16.
    Benjamins, V.R., Gómez-Pérez, A.: Knowledge-system technology: ontologies and problem-solving methods. Department of Social Science Informatics, University of Amsterdam (n.d.)Google Scholar
  17. 17.
    Bullinger, A.: Innovation and Ontologies: Structuring the Early Stages of Innovation Management. Springer, Berlin (2008)Google Scholar
  18. 18.
    Uschold, M., King, M., Moralee, S., Zorgios, Y.: The enterprise ontology. Knowl. Eng. Rev. 13(01), 31–89 (1998)CrossRefGoogle Scholar
  19. 19.
    Leppänen, M.: A context-based enterprise ontology. In: Abramowicz, W. (ed.) BIS 2007. LNCS, vol. 4439, pp. 273–286. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  20. 20.
    Fox, M.S., Gruninger, M.: Enterprise Modeling. AI Mag. 19(3), 109–121 (1998)Google Scholar
  21. 21.
    Gómez-Pérez, A., Fernández-López, M., Corcho, O.: Ontological Engineering: with Examples from the Areas of Knowledge Management. E-commerce and the Semantic Web, Springer, Berlin (2004)Google Scholar
  22. 22.
    Ning, K., O’Sullivan, D., Zhu, Q., Decker, S.: Semantic innovation management across the extended enterprise. Int. J. Ind. Syst. Eng. 1(1–2), 109–128 (2006)Google Scholar
  23. 23.
    Riedl, C., May, N., Finzen, J., Stathel, S., Leidig, T., Kaufman, V., Belecheanu, R., Krcmar, H.: Managing service innovations with an idea ontology. In: Proceedings of XIX International RESER Conference, Budapeste, Hungary, pp. 876–892 (2009)Google Scholar
  24. 24.
    Noy, N.F., McGuinness, D.L.: Ontology development 101: a guide to creating your first ontology, Standford University, Knowledge Systems Laboratory, Technical KSL-01-05 (2001)Google Scholar
  25. 25.
    Fernández-Pérez, M., Gómez-Pérez, A.: Overview and analysis of methodologies for building ontologies. Knowl. Eng. Rev. 17(02), 129–156 (2002)Google Scholar
  26. 26.
    Corcho, O., Fernández-López, M., Gómez-Pérez, A.: Methodologies, tools and languages for building ontologies. Where is their meeting point? Data Knowl. Eng. 46(1), 41–64 (2003)CrossRefGoogle Scholar
  27. 27.
    Corcho, Ó., Fernández-López, M., Gómez-Pérez, A., Vicente, Ó.: WebODE: an integrated workbench for ontology representation, reasoning, and exchange. In: Gómez-Pérez, A., Benjamins, V. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, pp. 138–153. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  28. 28.
    Fensel, D., Van Harmelen, F., Klein, M., Akkermans, H.: On-to-knowledge: ontology-based tools for knowledge management. In: Proceedings of the Ebusiness and Ework 2000 Conference (EMMSEC 2000) (2000)Google Scholar
  29. 29.
    Smirnov, A., Pashkin, M., Chilov, N., Levashova, T.: Ontology-based knowledge repository support for healthgrids. Stud. Technol. Inform. 112, 47–56 (2005)zbMATHGoogle Scholar
  30. 30.
    Tang, L.-a., Li, H., Qiu, B., Li, M., Wang, J., Wang, L., Zhou, B., Yang, D.-q., Tang, S.-w.: WISE: a prototype for ontology driven development of web information systems. In: Zhou, X., Li, J., Shen, H.T., Kitsuregawa, M., Zhang, Y. (eds.) APWeb 2006. LNCS, vol. 3841, pp. 1163–1167. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  31. 31.
    Riedl, C., May, N., Finzen, J., Stathel, S., Leidig, T., Kaufman, V., Belecheanu, R., Krcmar, H.: An idea ontology for innovation management. Int. J. Semant. Web Inf. Syst. 5(4), 1–18 (2009)CrossRefGoogle Scholar
  32. 32.
    Lenat, D.B., Guha, R.V.: Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project. Addison-Wesley, Reading (1990)Google Scholar
  33. 33.
    Uschold, M., King, M.: Towards a methodology for building ontologies. In: Workshop on Basic Ontological Issues in Knowledge Sharing, held in conjunction with IJCAI-95 (1995)Google Scholar
  34. 34.
    Grüninger, M., Fox, M.S.: Methodology for the design and evaluation of ontologies. Presented at Workshop on Basic Ontological Issues in Knowledge Sharing, IJCAI-95, Montreal (1995)Google Scholar
  35. 35.
    Bernaras, A., Laresgoiti, I., Correa, J.: Building and reusing ontologies for electrical network applications. In: Proceedings of the European Conference on Artificial Intelligence (ECAI96), Budapeste, Hungary (1996)Google Scholar
  36. 36.
    Fernandéz, M., Gómez-Pérez, A., Juristo, N.: METHONTOLOGY: from ontological art towards ontological engineering. In: Proceedings of the AAAI97 Spring Symposium, pp. 33–40 (1997)Google Scholar
  37. 37.
    Swartout, B., Ramesh, P., Knight, K., Russ, T.: Toward distributed use of large-scale ontologies. In: AAAI Symposium on Ontological Engineering (1997)Google Scholar
  38. 38.
    Gómez-Pérez, A., Suárez-Figueroa, M.C.: NeOn methodology: scenarios for building networks of ontologies. In: Proceedings of the 16th International Conference on Knowledge Engineering and Knowledge Management Knowledge Patterns (EKAW 2008) (2008)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.School of Management and Industrial StudiesPolytechnic Institute of OportoVila do CondePortugal
  2. 2.Information Systems Department, School of EngineeringUniversity of MinhoGuimarãesPortugal
  3. 3.Center AlgoritmiUniversity of MinhoGuimarãesPortugal

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