Ontology merging in the context of concept maps

Graudina, Vita; Grundspenkis, Janis; Milasevica, Sigita

doi:10.2478/v10312-012-0004-4

Abstract

- This paper proposes the approach to a concept map merging using methods and tools developed for the same task in the domain of ontologies. The developed method is based on ideas that concept maps and ontologies have structural similarities, and mutual transformations between them are possible therefore tools and methods suitable for ontologies can be applied to concept maps. Concept map merging is necessary to extend the functionality of intelligent concept map-based knowledge assessment system IKAS for reuse of captured concept maps.

References

[1] Anohina A., Grundspenkis J. Prototype of Multiagent Knowledge Assessment System for Support of Process Oriented Learning. In Proceedings of the 7th International Baltic Conference on Databases and Information Systems (Baltic DB&IS 2006), July 3-6, 2006, Vilnius, Lithuania, pp. 211-219.
Search in Google Scholar
[2] Anohina A., Grundspenkis J. Learner's Support in the Concept Map Based Knowledge Assessment System. In Proceedings of the 7th European Conference on e-Learning, November 6-7, 2008, Agia Napa, Cyprus, Vol.1, pp. 38-45.
Search in Google Scholar
[3] Anohina A., Stale G., Pozdnakovs D. Intelligent System for Student Knowledge Assessment. In Scientific Proceedings of Riga Technical University, 5th Series, Computer Science. Applied Computer Systems, Vol. 26, 2006, pp.132-143.
Search in Google Scholar
[4] Anohina A., Vilkelis M., Lukasenko R. Incremental Improvement of the Evaluation Algorithm in the Concept Map Based Knowledge Assessment System. In International Journal of Computers, Communication and Control, 4(1), 2009, pp. 6-16.10.15837/ijccc.2009.1.2409
Search in Google Scholar
[5] Grundspenkis J., Anohina A. Evolution of the Concept Map Based Adaptive Knowledge Assessment System: Implementation and Evaluation Results. In Scientific Proceedings of Riga Technical University, 5th Series, Computer Science. Applied Computer Systems, Vol. 38, 2009, pp. 13-24.10.2478/v10143-009-0001-2
Search in Google Scholar
[6] Vilkelis M., Anohina A., Lukashenko R. Architecture and Working Principles of the Concept Map Based Knowledge Assessment System. In Proceedings of the 3rd International Conference on Virtual Learning (ICVL 2008), October 31 - November 2, 2008, Constanta, Romania, pp. 81-90.
Search in Google Scholar
[7] Ehrig M. Ontology Alignment: Bringing the Semantic Gap. Berlin- Heidelberg: Springer-Verlag, 2007, 247 p.
Search in Google Scholar
[8] Euzenat J., Shvaiko P. Ontology Matching. Berlin-Heidelberg: Springer- Verlag, 2007, 333 p.
Search in Google Scholar
[9] Fellbaum C. (Ed.). WordNet: An Electronic Lexical Database. Cambridge, MA: MIT Press, 1998, 422 p.10.7551/mitpress/7287.001.0001
Search in Google Scholar
[10] Moser T., Schimper K., Mordinyi R., Anjomshoaa A. SAMOA - A Semi-automated Ontology Alignment Method for Systems Integration in Safety-critical Environments. International Conference on Complex, Intelligent and Software Intensive Systems, Fukuoka, Japan, 16-19 March 2009, pp. 724-729.10.1109/CISIS.2009.138
Search in Google Scholar
[11] Fridman Noy N., Musen M.A. PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment, In Proceedings of the 17th National Conference on Artificial Intelligence and 12th Conference on Innovative Applications of Artificial Intelligence, July 30 - August 3, 2000, Austin, USA, pp. 450-455.
Search in Google Scholar
[12] Graudina V., Grundspenkis J. Algorithm of Concept Map Transformation to Ontology for Usage in Intelligent Knowledge Assessment System. International Conference on Computer Systems and Technologies (CompSysTech'11), June, 16-17, 2011, Vienna, Austria, pp. 109-11410.1145/2023607.2023627
Search in Google Scholar
[13] Graudina V., Grundspenkis J. Concept Map Generation from OWL Ontologies. The 3rd International Conference on Concept Mapping, September, 22-25, 2008, Tallinn, Estonia and Helsinki, Finland, 2008, pp. 173-180.
Search in Google Scholar
[14] Graudina V. OWL Ontology Transformation into Concept Map. In Scientific Proceedings of Riga Technical University, 5th Series, Computer Science. Applied Computer Systems, Vol. 34, 2008, pp.80-91.
Search in Google Scholar
[15] OWL Web Ontology Language Guide. Available at: http://www.w3.org/TR/owl-guide/ ( accessed 27.09.2011 )
Search in Google Scholar
[16] Novak J.D., Cañas A.J. The Theory Underlying Concept Maps and How to Construct Them, Technical Report IHMC CmapTools. Revised 01- 2008, Florida Institute for Human and Machine Cognition, 2008, 36 p. Available at http://cmap.ihmc.us/Publications/ResearchPapers/Theory UnderlyingConceptMapsHQ.pdf (accessed 10.09.2011).
Search in Google Scholar
[17] Graudina V. Algorithms for Knowledge Remediation in Concept Map Based Assessment System. 2nd International Workshop on Intelligent Educational Systems and Technology-enhanced Learning (INTEL-EDU 2011), October 6, 2011, Riga Latvia. Local Proceedings of the 10th International Conference BIR, Associated Workshops and Doctoral Consortium, pp. 281-288.
Search in Google Scholar

Ontology merging in the context of concept maps

Abstract

Paradigm

My account