Abstract
In the paper, the knowledge management model based on the original idea of the enterprise ontology is presented. This model is the basis of construction of the Knowledge Based Decision Support System (KB DSS) for evaluation of situation of enterprises in the SME sector. In the model, the SECI model of knowledge creation proposed by I. Nonaka and H. Takeuchi is applied. The model consists of a cycle of creating evaluation of situation of enterprises in the potential-risk space of activity. To design the enterprise ontology, ideas of Polish philosophers (J. Bochenski and R. Ingarden) are applied. Taxonomies of classes of the enterprise potential and risk are presented in the OWL language (the Protege editor). The KB DSS architecture is consistent with the Case Based Reasoning (CBR) methodology.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zarate, P., Liu, S.: A new trend for knowledge-based decision support systems design. Int. J. Inf. Decis. Sci. 8(3), 305–324 (2016)
Nonaka, I., Takeuchi, H.: The Knowledge-Creating Company. How Japanese Companies Create the Dynamics of Innovation. Oxford University Press, New York, Oxford (1995)
Bandera, C., Keshtkar, F., Bartolacci, M.R., Neerudu, S., Passerini, K.: Knowledge management and the entrepreneur: insights from Ikujiro Nonaka’s Dynamic Knowledge Creation model (SECI). Int. J. Innov. Stud. 1, 1163–1174 (2017)
Figueiredo, M.S.N., Pereira, A.M.: Managing knowledge – the importance of databases in the scientific production. Proc. Manuf. 12, 166–173 (2017)
Ale, M.A., Toledo, C.M., Chiotti, O., Galli, M.R.: A conceptual model and technological support for organizational knowledge management. Sci. Comput. Program. 95, 73–92 (2014)
Bocheński, J.M.: Przyczynek do filozofii przedsiębiorstwa przemysłowego. Logika i filozofia. Wybór pism. Warszawa PWN, pp. 162–186 (1993)
Wand, Y., Weber, R.: An ontological model of an information system. IEEE Trans. Softw. Eng. 16, 1282–1292 (1990)
Milton, S.K., Kazmierczak, E.: An ontology of data modeling languages: a study using a common-sense realistic ontology. J. Database Manag. 15(2), 19–38 (2004)
Dietz, J.L.G.: Enterprise Ontology. Theory and Methodology. Springer, Heidelberger (2006)
Arp, R., Smith, B., Spear, D.: Building Ontologies with Basic Formal Ontology. Massachusetts Institute of Technology, Cambridge (2015)
Saaty, T.L.: Decision Making for Leaders. RWS Publications, Pittsburgh (2001)
Mousseau, V., Słowiński, R., Zielniewicz, P.: A user-oriented implementation of the ELECTRE TRI method integrating preference elicitation support. Comput. Oper. Res. 27, 757–777 (2000)
Tavana, M.: Euclid: strategic alternative assessment matrix. J. Multi-Criteria Decis. Anal. 11, 75–96 (2002)
Argenti, J.: Corporate Collapse: The Causes and Symptoms. McGraw-Hill, London (1976)
Aamodt, A., Plaza, E.: Case-based reasoning: foundations issues, methodological variations and system approaches. AI Commun. 7(1), 39–59 (1994)
Ingarden, R.: Spór o istnienie świata. PWN, Warszawa (1987)
Kaplan, R.S., Norton, D.P.: Balanced Scorecard. Translating Strategy into Action. Harvard Business School Press, Boston (1996)
Richardson, B., Nwankwo, S., Richardson, S.: Understanding the causes of business failure crises: generic failure types: boiled frogs, drowned frogs, bullfrogs and tadpoles. Manag. Decis. 32(4), 9–22 (1994)
Hitzler, P., Krotzsch, M., Rudolph, S.: Foundations of Semantic Web Technologies. Chapman & Hall/CRC, Boca Raton (2010)
OWL 2 Web Ontology Language Document Overview, 2nd edn. https://www.w3.org/TR/2012/REC-owl2-overview-20121211/
Protege platform. https://protege.stanford.edu/products.php
TopBraid Composer Maestro Edition. https://www.topquadrant.com/tools/ide-topbraid-composer-maestro-edition/
Giovannini, A., Aubry, A., Panetto, H., Dassisti, M., Haouzi, H.: Ontology-based system for supporting manufacturing sustainability. Ann. Rev. Control 36, 309–317 (2012)
Middleton, S.E., Roure, D.D., Shadbolt, N.R.: Ontology-based recommender system. In: Stab, S., Studer, R. (eds.) Handbook on Ontologies, International Handbooks on Information Systems, pp. 779–795. Springer, Heidelberg (2009)
myCBR. http://mycbr-projekt.net
Sauer, S.: Knowledge elicitation and formalisation for context and explanation-aware computing with case-based recommender system. Doctoral thesis. University of West London (2016). https://repository.uwl.ac.uk/id/eprint/2226/
Recio-Garcia, J.A., Gonzalez-Calero, P.A., Diaz-Agudo, B.: jCOLIBRI: a framework for building case-based reasoning systems. Sci. Comput. Program. 79, 126–145 (2014)
Andreasik, J.: A case-based reasoning system for predicting the economic situation of enterprises – tacit knowledge capture process (externalization). In: Kurzyński, M., et al. (eds.) Computer Recognition Systems 2. Advances in Soft Computing, ASC, vol. 45, pp. 718–730. Springer, Heidelberg (2007)
Andreasik, J.: The knowledge generation about an enterprise in the KBS-AE (knowledge-based system – acts of explanation). In: Nguyen, N.T., et al. (eds.) New Challenges in Computational Collective Intelligence. Studies in Computational Intelligence, SCI, vol. 244, pp. 85–94. Springer, Heidelberg (2009)
Andreasik, J.: Decision support system for assessment of enterprise competence. In: Kurzynski, M., Wozniak, M. (eds.) Computer Recognition Systems 3. Advances in Intelligent and Soft Computing, AISC, vol. 57, pp. 559–567. Springer, Heidelberg (2009)
Andreasik J.: Enterprise ontology according to Roman Ingarden formal ontology. In: Cyran, K.A., et al. (eds.) Man-Machine Interactions. Advances in Intelligent and Soft Computing, AISC, vol. 59, pp. 85–94. Springer, Heidelberg (2009)
Andreasik, J.: Enterprise ontology for knowledge-based system. In: Hippe, Z.S., Kulikowski, J.L. (eds.) Human-Computer System Interactions. Advances in Intelligent and Soft Computing, AISC, vol. 60, pp. 443–458. Springer, Heidelberg (2009)
Andreasik, J.: Enterprise ontology-diagnostic approach. In: Proceedings of the Conference on Human System Interactions, HSI 2008, Book Series: Eurographics Technical Report Series, Krakow, Poland, pp. 503–509. IEEE (2008). https://doi.org/10.1109/hsi.2008.4581489
Andreasik, J.: Ontology of offers according to Ingarden’s theory of individual objects. In: Proceedings of the 5th International Conference on Agents and Artificial Intelligence, ICAART 2013, pp. 429–432. SciTePress (2013). https://doi.org/10.5220/0004209304290432
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Andreasik, J. (2019). Knowledge Management Model Based on the Enterprise Ontology for the KB DSS System of Enterprise Situation Assessment in the SME Sector. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2018. Advances in Intelligent Systems and Computing, vol 787. Springer, Cham. https://doi.org/10.1007/978-3-319-94229-2_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-94229-2_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94228-5
Online ISBN: 978-3-319-94229-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)