Knowledge Management Systems Based on Topic Maps Theory

Authors

  • Ladislav Burita CIS Department, University of Defence, Brno, Czech Republic; Department of Industrial Engineering and IS, Tomas Bata University in Zlín, Czech Republic
  • Kamil Halouzka CIS Department, University of Defence, Brno, Czech Republic
  • Vlastimil Malý CIS Department, University of Defence, Brno, Czech Republic
  • Vojtech Ondryhal CIS Department, University of Defence, Brno, Czech Republic

DOI:

https://doi.org/10.3849/aimt.01168

Keywords:

knowledge management system, Topic Maps, ATOM, MENTAL, CEFME

Abstract

The aim of the paper is to summarize the experience gained from the research of the constructions of the Knowledge Management Systems (KMS) based on the ontology engineering. The heart of such a system is the ontology. Ontology is a term coined by traditional philosophers which gained recently a new meaning in computational sense. Computational ontologies are a means to formally model the structure of a system, to discover the entities and relations that emerge from its observation, and which are useful to the system purposes. There are currently two main formal approaches to construct ontology; Topic Maps and Resource Description Framework (RDF). In our projects we utilize Topic Maps theory and the tools based on this technology, e.g. ATOM2 as described in the paper. The key point of the solution is the ontology development; our methodology procedure is presented; the improvement of the methodology and the future research goals are oriented to automate the procedure steps. Phases of the methodology are collecting information sources and their processing utilizing the analytical software; clarification of the terms in the area in focus, selection of the candidate’s terms for ontology classes; verification of terms regarding the document base; ontology design and its verification. During the process the text mining tools (e.g. TOVEK) and other analytical tools are used. At the end of the paper the summary of the experience with the methodology application is presented

References

MENTAL ‒ Research project of the KMS of the Army Czech Republic Network Enabled Capability. Prague: Ministry of Defence of Czech Republic, 2008‒2011.

TOVEK ‒ Software and Information Sources of the Company TOVEK. Prague, Czech Republic. [on line] [Cited 2016-05-04]. Available from: .

AION ‒ Software and Information Sources of the Company AION CS. Zlín, Czech Republic. [on line] [Cited 2016-05-02]. Available from: .

PEPPER S. The TAO of Topic Maps. [on line] [Cited 2016-05-03]. Available from: <http://www.ontopia.net/topicmaps/ materials/tao.html>.

ONTOPIA. Open Source Tools for Building, Maintaining and Deploying Topic Maps-based Applications. [on line] [Cited 2016-04-21]. Available from: <http://www.ontopia.net>.

KHALILAZAR, S. and ZANJANI, M.S. Identifying and Weighing of Key Performance Indicators of Knowledge Management 2.0 in Organizations. Iranian Journal of Information Processing Management, vol. 31, no. 2, 2016, p. 349-376.

MIRANDA, S., ORCIUOLI, F. and SAMPSON, D.G. A SKOS-based Framework for Subject Ontologies to Improve Learning Experiences. Computers in Human Behaviour, vol. 61, 2016, p. 609-621.

CAPILLA, R., JANSEN, A., TANG, A., AVGERIOU, P. and BABAR, M.A. 10 years of Software Architecture Knowledge Management: Practice and Future. Journal of Systems and Software, vol. 116, 2016, p. 191-205.

CARRETEIRO, P., DE VASCONCELOS, J.B., BARÃO, A. and ROCHA, Á. A Knowledge Management Approach for Software Engineering Projects Development. Advances in Intelligent Systems and Computing, vol. 444, 2016, p. 59-68.

KAMEAS, A. and SEREMETI, L. Ontology-based Knowledge Management in NGAIEs. Next Generation Intelligent Environments: Ambient Adaptive Systems, Second Edition, 2016, p. 85-131.

FUELOEP, G., KORMOS, J., KOVACS, Z.C. and LENESE, Z. The Role of Managerial Notes on Knowledge Sharing: Helping the Management of Unstructured Information by Using Topic Maps. In Proceedings of 8th European Conference on Knowledge Management. Barcelona: Academic Conference International, 2007.

GARSHOL, L.M. Living with Topic Maps and RDF. [on line] [Cited 2016-05-13]. Available from: <http://www.ontopia.net/topicmaps/materials/ tmrdf.html>.

KOVACS, Z.C., TOTH, M. and KORMOS, J. Topic Map and Ontological Support for Knowledge Management in the Enterprise. In Proceedings of 9th European Conference on Knowledge Management. Southampton: Ulster University, 2008.

YAN, L.J., LI, Z.B. and YANG, X.C. Heterogeneous Knowledge Integrated Management Based on Topic Maps in Collaborative Product Development. In Proceedings of 2nd International Conference on Advances in Product Development and Reliability. Shenyang: China, 2010.

DE SOUZA, E.F., FALBO, R.D. and VIJAYKUMAR, N.L. Knowledge Management Initiatives in Software Testing: A Mapping Study. Information and Software Technology, 2015, vol.: 57, p. 378-391.

GRUBER, T.R. Toward Principles for the Design of Ontologies Used for Knowledge Sharing. International Journal of Human Computer Studies, vol. 43, no. 5-6, p. 907-928.

BUŘITA, L. and ONDRYHAL, V. The Knowledge Management System MENTAL. Cybernetic Letters, vol. 2011, no. 1. p. 1-4.

MilUNI ‒ Portal for Military Universities Cooperation. Research project. Brno: University of Defence, 2012-2013.

FREEMIND ‒ Software FreeMind Downloads. [on line] [Cited 2016-06-12]. Available from: <http://freemind.sourceforge.net/wiki/index.php/Download>.

VUE ‒ Visual Understanding Environment. [on line] [Cited 2016-05-03]. Available from: <http://vue.tufts.edu>.

BUŘITA, L., HALOUZKA, K. and MALÝ, V. Portal CEFME for Military Universities Cooperation. In: Proceedings of the International Conference on Military Technologies 2015. Brno: University of Defence, 2015, p. 1-5.

BUŘITA, L. and ONDRYHAL, V. Knowledge Management System Based on Lessons Learned Documents. Military Communications and Information Technology: Recent Advantage in Selected Areas. Warsaw: Military University of Technology, 2013, p. 37-50.

The World Factbook, Central Intelligence Agency, 2013. [on line] [Cited 2016-05-03]. Available from: <https://www.cia.gov/library/publications/the-world-factbook>.

CHMIELEWSKI, M. Ontology Applications for Achieving Situation Awareness in Military Decision Support Systems. Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems. Lecture Notes in Computer Science, Berlin: Springer, vol. 5796, 2009, p. 528-539.

ZRO209 ‒ Project for Development of Organization. Brno: University of Defence, 2012-2015.

Downloads

Published

18-09-2017

How to Cite

Burita, L., Halouzka, K., Malý, V., & Ondryhal, V. (2017). Knowledge Management Systems Based on Topic Maps Theory. Advances in Military Technology, 12(1), 75–89. https://doi.org/10.3849/aimt.01168

Issue

Section

Technical Information

Categories

Most read articles by the same author(s)