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Government chief information officer (GCIO) ontology: a tool to formalize the GCIO function

Published:22 October 2013Publication History

ABSTRACT

Information Technology (IT) leadership is essential for the successful utilization of Information and Communication Technology (ICT) in any organizational context. In particular, IT leadership is a critical success factor for every Electronic Government (e-Government) initiative. Most of the leading countries in e-Government development have adopted the Chief Information Officer (GCIO) function to lead and coordinate their technology-related projects. In addition, most influential international e-Government rankings -- like those conducted by United Nations and Waseda University; include the presence of the function in their assessment criteria. However, the adoption of the function entails broader actions than the merely establishment of the position itself. Several prerequisites, such as qualified human resources, coordination and collaboration capabilities, and governance mechanisms, among others, need to be available in government for the proper establishment and sustainability of the function. Despite its broader adoption in practice, there is scarce literature to assist governments in understanding the complexities of the GCIO function and making the prerequisites available. This paper presents the development of ontology to formally define the GCIO function. The main contribution of this work is to offer a tool for sharing and reusing the existing knowledge in the GCIO domain, filling the research-practice gap identified above.

References

  1. N. Guarino, "Understanding, building and using ontologies," International Journal of Human-Computer Studies, vol. 46, pp. 293--310, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. J. Auffret, E. Estevez, I. Marcovecchio, and T. Janowski, "Developing a GCIO System: Enabling Good Government Through e-Leadership," in Proceedings of the 11th Annual International Conference on Digital Government Research, Public Administration Online: Challenges and Opportunities, dg.o 2010), Puebla, Mexico, 2010, pp. 292--301. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. E. Estevez, T. Janowski, I. Marcovecchio, and A. Ojo, "Establishing Government Chief Information Officer Systems - Readiness Assessment," in Proceedings of the 12th Annual International Conference on Digital Government Research (dg.o 2011), College Park, MD, USA, 2011, pp. 292--301. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. T. R. Gruber, "Toward principles for the design of ontologies used for knowledge sharing," International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology, vol. 43, no. 5--6, pp. 907--928, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. W. N. Borst, "Construction of Engineering Ontologies for Knowledge Sharing and Reuse," Universiteit Twente, Enschede, 1997.Google ScholarGoogle Scholar
  6. R. Studer, V. R. Benjamins, and D. Fensel, "Knowledge Engineering: Principles and Methods." 1998.Google ScholarGoogle Scholar
  7. N. Guarino and P. Giaretta, "Ontologies and knowledge bases: Towards a terminological clarification," in in Towards very large knowledge bases: knowledge building & knowledge sharing, 1995, pp. 25--32.Google ScholarGoogle Scholar
  8. M. Uschold and M. Gruninger, "Ontologies: Principles, methods and applications," Knowledge Engineering Review, vol. 11, pp. 93--136, 1996.Google ScholarGoogle ScholarCross RefCross Ref
  9. A. Gomez-Perez, "Some ideas and examples to evaluate ontologies," in Artificial Intelligence for Applications, 1995. Proceedings., 11th Conference on, 1995, pp. 299--305. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. A. Ojo and T. Janowski, "Ontology, Semantic Web and Electronic Government," 2005.Google ScholarGoogle Scholar
  11. N. F. Noy and D. L. Mcguinness, "Ontology Development 101: A Guide to Creating Your First Ontology," 2001.Google ScholarGoogle Scholar
  12. F. T. Fonseca, M. J. Egenhofer, C. A. Davis, and G. Câmara, "Semantic Granularity in Ontology-Driven Geographic Information Systems," Annals of Mathematics and Artificial Intelligence, vol. 36, no. 1--2, pp. 121--151, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. M. Grüninger and M. S. Fox, "Methodology for the Design and Evaluation of Ontologies," in International Joint Conference on Artificial Inteligence (IJCAI95), Workshop on Basic Ontological Issues in Knowledge Sharing, 1995.Google ScholarGoogle Scholar
  14. R. Neches, R. Fikes, T. Finin, T. Gruber, R. Patil, T. Senator, and W. R. Swartout, "Enabling technology for knowledge sharing," AI Mag., vol. 12, no. 3, pp. 36--56, Sep. 1991. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. B. Smith, "Ontology," in Blackwell Guide to the Philosophy of Computing and Information, 2003, pp. 155--166.Google ScholarGoogle Scholar
  16. N. Guarino, Formal Ontology in Information Systems: Proceedings of the 1st International Conference June 6-8, 1998, Trento, Italy, 1st ed. Amsterdam, The Netherlands, The Netherlands: IOS Press, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. D. Kalibatiene and O. Vasilecas, "Survey on Ontology Languages," in Perspectives in Business Informatics Research:10th International Conference, 2011, pp. 124--141.Google ScholarGoogle Scholar
  18. C. Coral, R. Francisco, and P. Mario, Ontologies for Software Engineering and Software Technology. Berlin, Heidelberg: Springer-Verlag, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. G. van Heijst, A. T. Schreiber, and B. J. Wielinga, "Using explicit ontologies in KBS development," International Journal of Human and Computer Studies, vol. 46, no. 2--3, pp. 183--292, Mar. 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. M. Grüninger and J. Lee, "Ontology Applications and Design - Introduction," Communications of the ACM, vol. 45, no. 2, pp. 39--41, 2002.Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. V. Devedzić, "Understanding ontological engineering," Communications of the ACM - Supporting community and building social capital, vol. 45, no. 4, pp. 136--144, Apr. 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. M. Ferndández, A. Gómez-Perez, and N. Juristo, "METHONTOLOGY: From Ontological Art Towards Ontological Engineering," pp. 33--40, 1997.Google ScholarGoogle Scholar
  23. R. de Hoog, "Methodologies for Building Knowledge Based Systems: Achievements and Prospects," in in Handbook of Expert Systems, J. Liebowitz, Ed. CRC Press, 1998.Google ScholarGoogle Scholar
  24. D. B. Lenat and R. V Guha, Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project, 1st ed. Boston, MA, USA: Addison-Wesley Longman Publishing Co., Inc., 1989. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. B. G. Staff, Ontology Languages: Cycl, Kl-One, Web Ontology Language, Multimedia Web Ontology Language. General Books LLC, 2010.Google ScholarGoogle Scholar
  26. M. Uschold and M. King, "Towards a Methodology for Building Ontologies," in Workshop on Basic Ontological Issues in Knowledge Sharing, held in conjunction with IJCAI-95, 1995.Google ScholarGoogle Scholar
  27. M. Uschold, M. King, R. House, S. Moralee, and Y. Zorgios, "The Enterprise Ontology," The Knowledge Engineering Review, vol. 13, pp. 31--89, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. M. S. Fox, M. Barbuceanu, and M. Grüninger, "An organisation ontology for enterprise modelling: preliminary concepts for linking structure and behaviour," in 4th Workshop on Enabling Technologies, Infrastructure for Collaborative Enterprises (WET-ICE'96), April 20-22, 1995, Berkeley Springs, West Virginia, USA, Proceedings, 1995, pp. 71--81. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. M. S. Fox, "The TOVE Project Towards a Common-Sense Model of the Enterprise," in Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 5th International Conference, IEA/AIE - 92, Paderborn, Germany, June 9-12, 1992, Proceedings, 1992, vol. 604, pp. 25--34. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. KACTUS, "The KACTUS Booklet version 1.0. Esprit Project 8145," 1996.Google ScholarGoogle Scholar
  31. A. Bernaras, I. Laresgoiti, and J. M. Corera, "Building and Reusing Ontologies for Electrical Network Applications," in 12th European Conference on Artificial Intelligence (ECAI), 1996, pp. 298--302.Google ScholarGoogle Scholar
  32. B. Swartout, P. Ramesh, K. Knight, and T. Russ, "Toward Distributed Use of Large-Scale Ontologies," AAAI Symposium on Ontological Engineering, 1997.Google ScholarGoogle Scholar
  33. B. Biebow and S. Szulman, "TERMINAE: A Linguistic-Based Tool for the Building of a Domain Ontology," in Proceedings of the 11th European Workshop on Knowledge Acquisition, Modeling and Management (EKAW '99), 1999, pp. 49--66. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Y. Sure, H. Akkermans, J. Broekstra, J. Davies, Y. Ding, A. Duke, R. Engels, D. Fensel, I. Horrocks, V. Iosif, A. Kampman, A. Kiryakov, M. Klein, T. Lau, D. Ognyanov, U. Reimer, K. Simov, R. Studer, J. Meer, and F. van Harmelen, "On-To-Knowledge: Semantic Web Enabled Knowledge Management," in in Web Intelligence, N. Zhong, J. Liu, and Y. Yao, Eds. Springer-Verlag, 2003, pp. 277--300.Google ScholarGoogle Scholar
  35. C. Tautz and C. G. von Wangenheim, "REFSENO: A Representation Formalism for Software Engineering Ontologies," 1998.Google ScholarGoogle Scholar
  36. Object Management Group (OMG), "Unified Modeling Language (UML)," 2011. {Online}. Available: http://www.omg.org/spec/UML/.Google ScholarGoogle Scholar
  37. C. Tautz and C. G. von Wangenheim, "REFSENO: A Representation Formalism for Software Engineering Ontologies," 1998.Google ScholarGoogle Scholar
  38. B. Bunker, "An investigation into expectations of the Chief Information Officer's role and knowledge, skills and experience that support it: a dyadic IT-Business perspective in NZ local government," Victoria University of Wellington, 2009.Google ScholarGoogle Scholar
  39. Ontology Design Patterns, "What is an Exemplary Ontology?".Google ScholarGoogle Scholar
  40. F. Ruíz, A. Vizcaíno, M. Piattini, and F. García, "An ontology for the management of software maintenance projects," International Journal of Software Engineering and Knowledge Engineering, vol. 14, pp. 323--349, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  41. F. Garcia, M. Bertoa, C. Calero, A. Vallecillo, F. Ruiz, M. Piattini, and M. Genero, "Towards a consistent terminology for software measurement," Information and Software Technology, vol. 48, no. 8, pp. 631--644, Aug. 2006.Google ScholarGoogle ScholarCross RefCross Ref
  42. M. Ferreira, F. García, F. Ruiz, M. F. Bertoa, C. Calero, A. Vallecillo, M. Piattini, and B. Mora, "Medición del Software Ontología y Metamodelo," Departamento de Tecnologías y Sistemas de la Información, Castilla La Mancha, 2006.Google ScholarGoogle Scholar
  43. A. Macris, E. Papadimitriou, and G. Vassilacopoulos, "An Ontology-based Competency Model for Workflow Activity Assignment Policies," Journal of Knwoledge Management, vol. 12, no. 6, pp. 72--88, 2008.Google ScholarGoogle ScholarCross RefCross Ref
  44. S. Onjira, G. Lester, and A. Dietrich, "Ontology-Driven Automatic Generation of Questions from Competency Models," in in The 9th International Conference on Computing and Information Technology (IC2IT2013), Advances in Intelligent Systems and Computing, pp. 145--154.Google ScholarGoogle Scholar
  45. N. Weissenberg, "Using ontologies in personalized mobile applications," in Proceedings of the 12th annual ACM international workshop on Geographic information systems (GIS'04), 2004, pp. 2--11. Google ScholarGoogle ScholarDigital LibraryDigital Library
  46. Waseda, "The 2013 Waseda University International e-Government Ranking," 2013.Google ScholarGoogle Scholar

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      • Published in

        cover image ACM Other conferences
        ICEGOV '13: Proceedings of the 7th International Conference on Theory and Practice of Electronic Governance
        October 2013
        398 pages
        ISBN:9781450324564
        DOI:10.1145/2591888
        • Editors:
        • Tomasz JANOWSKI,
        • Jeanne HOLM,
        • Elsa ESTEVEZ

        Copyright © 2013 ACM

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        Publication History

        • Published: 22 October 2013

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