Onto-digital: an ontology-based model for digital transformation’s knowledge
Автор: Fadwa Zaoui, Nissrine Souissi
Журнал: International Journal of Information Technology and Computer Science @ijitcs
Статья в выпуске: 12 Vol. 10, 2018 года.
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The digital transformation of the company is a condition for the socio-economic development. Dealing with ICT integration in the enterprise, the paper’s aim is the identification of the digital transformation conceptual components, required for designing a knowledge model. To do this, a literature review is established to identify the dimensions, and their interrelations, to consider in the construction of a model, and which led to an ontology-driven model for digital transformation’s knowledge. In comparison with other models proposed in the literature, this ontology is exhaustive in terms of knowledge, adaptable to any sector of activity and scalable in terms of dimensions and relationships composing it.
Ontology, Dimensions, Knowledge, Model, Digital Transformation, ICT Integration
Короткий адрес: https://sciup.org/15016319
IDR: 15016319 | DOI: 10.5815/ijitcs.2018.12.01
Список литературы Onto-digital: an ontology-based model for digital transformation’s knowledge
- https://www.pwc.com/gx/en/industries/industries-4.0/landing-page/industry-4.0-building-your-digital-enterprise-april-2016.pdf (Accessed: 24 May 2018)
- Raul Katz, Pantelis Koutroumpis, Fernando Martin Callorda, (2014) "Using a digitization index to measure the economic and social impact of digital agendas", info, Vol. 16 Issue: 1, pp.32-44, doi:10.1108/info-10-2013-0051
- Rinaldo Evangelista, Paolo Guerrieri & Valentina Meliciani (2014) The economic impact of digital technologies in Europe,Economics of Innovation and New Technology, 23:8, 802-824, doi: 10.1080/10438599.2014.918438
- GUERRIERI, Paolo et BENTIVEGNA, Sara (ed.). The economic impact of digital technologies: Measuring inclusion and diffusion in Europe. Edward Elgar Publishing, 2011.
- YUEN, Allan HK, LAW, Nancy, et WONG, K. C. ICT implementation and school leadership: Case studies of ICT integration in teaching and learning. Journal of Educational Administration, 2003, vol. 41, no 2, p. 158-170.
- PLOMP, Tjeerd et VOOGT, Joke. Pedagogical practices and ICT use around the world: Findings from the IEA international comparative study SITES2006. Education and information technologies, 2009, vol. 14, no 4, p. 285.
- TONDEUR, Jo, DEVOS, Geert, VAN HOUTTE, Mieke, et al.Understanding structural and cultural school characteristics in relation to educational change: the case of ICT integration. Educational Studies, 2009, vol. 35, no 2, p. 223-235.
- BENTON-BORGHI, Beatrice Hope. A Universally Designed for Learning (UDL) infused Technological Pedagogical Content Knowledge (TPACK) practitioners' model essential for teacher preparation in the 21st Century. Journal of educational computing research, 2013, vol. 48, no 2, p. 245-265.
- KIERKEGAARD, Patrick. eHealth in Denmark: a case study. Journal of medical systems, 2013, vol. 37, no 6, p. 9991.
- SALDIVAR, Alfredo Alan Flores, LI, Yun, CHEN, Wei-neng, et al.Industry 4.0 with cyber-physical integration: A design and manufacture perspective. In: Automation and computing (icac), 2015 21st international conference on. IEEE, 2015. p. 1-6.
- BEBELL, Damian, RUSSELL, Michael, et O’DWYER, Laura. Measuring teachers’ technology uses: Why multiple-measures are more revealing. Journal of Research on Technology in Education, 2004, vol. 37, no 1, p. 45-63.
- WANG, Qiyun. A generic model for guiding the integration of ICT into teaching and learning. Innovations in education and teaching international, 2008, vol. 45, no 4, p. 411-419.
- KIRSCHNER, Paul, STRIJBOS, Jan-Willem, KREIJNS, Karel, et al. Designing electronic collaborative learning environments. Educational technology research and development, 2004, vol. 52, no 3, p. 47.
- DEVOS, Geert, BOUCKENOOGHE, D., ENGELS, N., et al. An assessment of well-being of principals in Flemish primary schools. Journal of Educational Administration, 2007, vol. 45, no 1, p. 33-61.
- https://www.itu.int/en/ITU-D/ICT-Applications/eHEALTH/Pages/NeHSToolkit.aspx (Accessed: 25 May 2018)
- BOUAMRANE, Matt-Mouley et MAIR, Frances. An overview of electronic health systems development & integration in Scotland. In: Proceedings of the first international workshop on Managing interoperability and complexity in health systems. ACM, 2011. p. 59-62. 24.
- HEALY, J. C. Integration of Informatic and Communication Technologies (ICT) in the EU national health systems: status and trends. Swiss Medical Informatics, 2004, vol. 20, no 52, p. 3-6.
- CRESSWELL, Kathrin et SHEIKH, Aziz. Organizational issues in the implementation and adoption of health information technology innovations: an interpretative review. International journal of medical informatics, 2013, vol. 82, no 5, p. e73-e86.
- ZHOU, Keliang, LIU, Taigang, et ZHOU, Lifeng. Industry 4.0: Towards future industrial opportunities and challenges. In: Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on. IEEE, 2015. p. 2147-2152.
- SUCCAR, Bilal. Building information modelling framework: A research and delivery foundation for industry stakeholders. Automation in construction, 2009, vol. 18, no 3, p. 357-375.
- Oxford, Technology — Compact Oxford English Dictionary, http://www.askoxford.com/concise_oed/technology?view=uk, last accessed 15 April 2007.
- Process Innovation: reengineering work through information technology, Harvard Business School Press, 1992.
- Clemson, Definition of Policy, Clemson University — Office of Research Compliance, Definitions of Research Compliance Terms, 2007, Last accessed 14 April 2007, from http://www.clemson.edu/research/orcSite/orcIRB_DefsP.htm
- DE BRUYN, Peter, MANNAERT, Herwig, VERELST, Jan, et al.Enabling Normalized Systems in Practice–Exploring a Modeling Approach. Business & Information Systems Engineering, 2018, vol. 60, no 1, p. 55-67.
- SKINNER, Harvey A., MALEY, Oonagh, et NORMAN, Cameron D. Developing internet-based eHealth promotion programs: the Spiral Technology Action Research (STAR) model. Health Promotion Practice, 2006, vol. 7, no 4, p. 406-417.
- BOWERSOX, Donald J., CLOSS, David J., et DRAYER, Ralph W. The digital transformation: technology and beyond. Supply Chain Management Review, 2005, vol. 9, no 1, p. 22-29.
- MINSKY, Marvin. A framework for representing knowledge. 1974.
- RITTER, Helge. Models as Tools to Aid Thinking. In: Towards a Theory of Thinking. Springer, Berlin, Heidelberg, 2010. p. 347-374.
- ZHANG, Guo-Qiang, SIEGLER, Trish, SAXMAN, Paul, et al.VISAGE: a query interface for clinical research. Summit on Translational Bioinformatics, 2010, vol. 2010, p. 76.
- MUNIR, Kamran et ANJUM, M. Sheraz. The use of ontologies for effective knowledge modelling and information retrieval. Applied Computing and Informatics,
- 2017.
- DAMLJANOVIC, Danica, AGATONOVIC, Milan, et CUNNINGHAM, Hamish. FREyA: An interactive way of querying Linked Data using natural language. In: Extended Semantic Web Conference. Springer, Berlin, Heidelberg, 2011. p. 125-138.
- FAN, Ju, LI, Guoliang, et ZHOU, Lizhu. Interactive SQL query suggestion: Making databases user-friendly. In: Data Engineering (ICDE), 2011 IEEE 27th International Conference on. IEEE, 2011. p. 351-362.
- PATON, Norman W., STEVENS, Robert, BAKER, Pat, et al.Query processing in the TAMBIS bioinformatics source integration system. In: Scientific and Statistical Database Management, 1999. Eleventh International Conference on. IEEE, 1999. p. 138-147.
- MEŠTROVIĆ, Ana et CALÌ, Andrea. An ontology-based approach to information retrieval. In: Semanitic Keyword-based Search on Structured Data Sources. Springer, Cham, 2016. p. 150-156.
- RAMLI, Fatihah, NOAH, Shahrul Azman, et KURNIAWAN, Tri Basuki. Ontology-based information retrieval for historical documents. In: Information Retrieval and Knowledge Management (CAMP), 2016 Third International Conference on. IEEE, 2016. p. 55-59.
- GRUBER, Thomas R. A translation approach to portable ontology specifications. Knowledge acquisition, 1993, vol. 5, no 2, p. 199-220.
- http://www.bimframework.info/2015/08/bim-ontology.html (Accessed: 16 April 2018).
- HESS, Thomas, MATT, Christian, BENLIAN, Alexander, et al. Options for Formulating a Digital Transformation Strategy. MIS Quarterly Executive, 2016, vol. 15, no 2.
- MATT, Christian, HESS, Thomas, et BENLIAN, Alexander. Digital transformation strategies. Business & Information Systems Engineering, 2015, vol. 57, no 5, p. 339-343.
- HANELT, Andre, PICCININI, Everlin, GREGORY, Robert Wayne, et al. Digital Transformation of Primarily Physical Industries-Exploring the Impact of Digital Trends on Business Models of Automobile Manufacturers. In: Wirtschaftsinformatik. 2015. p. 1313-1327.
- HAUX, Reinhold. Health information systems–past, present, future. International journal of medical informatics, 2006, vol. 75, no 3-4, p. 268-281.
- YASNOFF, William A., HUMPHREYS, Betsy L., OVERHAGE, J. Marc, et al. A consensus action agenda for achieving the national health information infrastructure. Journal of the American Medical Informatics Association, 2004, vol. 11, no 4, p. 332-338.
- DA XU, Li, HE, Wu, et LI, Shancang. Internet of things in industries: A survey. IEEE Transactions on industrial informatics, 2014, vol. 10, no 4, p. 2233-2243.
- ZHAO, Jianhua et JIANG, Yinjian. Developing an Indicator System of ICT in Education: From Conceptual Model to Items Extraction. In: International Conference on Hybrid Learning and Continuing Education. Springer, Berlin, Heidelberg, 2013. p. 110-121.
- COLLIS, Betty et VAN DER WENDE, Marijk. Models of technology and change in higher education: An international comparative survey on the current and future use of ICT in higher education. 2002.
- HERMANN, Mario, PENTEK, Tobias, et OTTO, Boris. Design principles for industrie 4.0 scenarios. In: System Sciences (HICSS), 2016 49th Hawaii International Conference on. IEEE, 2016. p. 3928-3937.
- ZUEHLKE, Detlef. SmartFactory—Towards a factory-of-things. Annual Reviews in Control, 2010, vol. 34, no 1, p. 129-138.
- GOROLL, Allan H., SIMON, Steven R., TRIPATHI, Micky, et al. Community-wide implementation of health information technology: the Massachusetts eHealth Collaborative experience. Journal of the American Medical Informatics Association, 2009, vol. 16, no 1, p. 132-139.
- TSIKNAKIS, Manolis et KOUROUBALI, Angelina. Organizational factors affecting successful adoption of innovative eHealth services: A case study employing the FITT framework. International journal of medical informatics, 2009, vol. 78, no 1, p. 39-52.
- BLUMENTHAL, David. Stimulating the adoption of health information technology. New England journal of medicine, 2009, vol. 360, no 15, p. 1477-1479.
- KARAGIORGI, Yiasemina et CHARALAMBOUS, Kyriacos. Curricula considerations in ICT integration: Models and practices in Cyprus. Education and Information Technologies, 2004, vol. 9, no 1, p. 21-35.
- COLEMAN, Katie, AUSTIN, Brian T., BRACH, Cindy, et al. Evidence on the chronic care model in the new millennium. Health affairs, 2009, vol. 28, no 1, p. 75-85.
- BIRCH, A. et IRVINE, V. Preservice teachers’ acceptance of ICT integration in the classroom: applying the UTAUT model. Educational media international, 2009, vol. 46, no 4, p. 295-315.
- LEGNER, Christine, EYMANN, Torsten, HESS, Thomas, et al.Digitalization: opportunity and challenge for the business and information systems engineering community. Business & information systems engineering, 2017, vol. 59, no 4, p. 301-308.
- ZHOU, Ji. Digitalization and intelligentization of manufacturing industry. Advances in Manufacturing, 2013, vol. 1, no 1, p. 1-7.
- BRETTEL, Malte, FRIEDERICHSEN, Niklas, KELLER, Michael, et al. How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 Perspective. International Journal of Mechanical, Industrial Science and Engineering, 2014, vol. 8, no 1, p. 37-44.
- GORECKY, Dominic, SCHMITT, Mathias, LOSKYLL, Matthias, et al. Human-machine-interaction in the industry 4.0 era. In: Industrial Informatics (INDIN), 2014 12th IEEE International Conference on. Ieee, 2014. p. 289-294.
- MAIR, Frances S., MAY, Carl, O'DONNELL, Catherine, et al. Factors that promote or inhibit the implementation of e-health systems: an explanatory systematic review. Bulletin of the World Health Organization, 2012, vol. 90, p. 357-364.
- HORLACH, Bettina, DREWS, Paul, et SCHIRMER, Ingrid. Bimodal IT: Business-IT alignment in the age of digital transformation. Multikonferenz Wirtschaftsinformatik (MKWI), 2016, p. 1417-1428.
- SENDALL, Shane et KOZACZYNSKI, Wojtek. Model transformation: The heart and soul of model-driven software development. IEEE software, 2003, vol. 20, no 5, p. 42-45.
- CHANIAS, Simon et HESS, Thomas. Understanding Digital Transformation Strategy formation: Insights from Europe's Automotive Industry. In: PACIS. 2016. p. 296.
- PAULUS-ROHMER, Dominik, SCHATTON, Heike, et BAUERNHANSL, Thomas. Ecosystems, Strategy and Business Models in the age of Digitization-How the Manufacturing Industry is Going to Change its Logic. Procedia CIRP, 2016, vol. 57, p. 8-13.
- LEE, Jay, BAGHERI, Behrad, et KAO, Hung-An. A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters, 2015, vol. 3, p. 18-23.
- Cottam, H. (1999). Ontologies to Assist Process Oriented Knowledge Acquisition (Draft): SPEDE, Rolls-Royce plc 1999 covered by SPEDE IPR agreement.
- SAHAY, Sundeep, MONTEIRO, Eric, et AANESTAD, Margunn. Configurable politics and asymmetric integration: Health e-infrastructures in India. Journal of the Association for Information Systems, 2009, vol. 10, no 5, p. 4.
- WANG, Qiyun et WOO, Huay Lit. Systematic planning for ICT integration in topic learning. Educational technology & society, 2007, vol. 10, no 1, p. 148-156.
- JIMOYIANNIS, Athanassios. Designing and implementing an integrated technological pedagogical science knowledge framework for science teachers professional development. Computers & Education, 2010, vol. 55, no 3, p. 1259-1269.
- ÇAPUK, Suat. ICT Integration models into middle and high school curriculum in the USA. Procedia-Social and Behavioral Sciences, 2015, vol. 191, p. 1218-1224.
- Milton, N. R. (2007a). Knowledge Acquisition in Practice: A Step-by-step Guide: Springer, London.
- Milton, N. R. (2007b). Specification for the General Technological Ontology (GTO). http://www.pcpack.co.uk/gto/notes/files/GTO%20Spec%20v4.doc
- Gruber, T. R. (1995). Toward principles for the design of ontologies used for knowledge sharing? International journal of human-computer studies, 43(5-6), 907-928.
- R. Studer, V.R. Benjamins, D. Fensel, Knowledge engineering: principles and methods, Data & Knowledge Engineering
- M. Uschold, Building ontologies: towards a unified methodology, expert
- N.R. Milton, Knowledge Acquisition in Practice: A Step-by-step Guide, N.R. Milton, Specification for the General Technological Ontology (GTO)