Abstract
Structural analysis of knowledge bases improves process of obtaining additional hidden information and provides new means of information discovery. In this paper we propose a method of structural analysis and characterise in details developed toolkit as a Protégé extension. The aim of method itself is to identify hidden relationships using structural weighted graph analysis, applied for both terminology and instance base. In order to evaluate new relationships between instances, we have chosen a set of measures that consider the analysis of both vertices and links, thus providing new semantic information for identified associations. Developed environment concludes both approaches (logic based and graph based) in order to apply reasoning techniques, graph based algorithms and measures for inferring important analytical information. The scope of paper provides also application areas of such method in terms of data mining techniques for crisis identification and multi-criteria data analysis.
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Davies, J., Studer, R., Warren, P.: Semantic Web Technologies: Trends and Research in Ontology-based Systems. John Wiley & Sons, Chichester (2006)
Baader, F., McGuinness, D., Nardi, D., Patel-Schneider, P.: The Description Logic Handbook: Theory, implementation, and applications. Cambridge University Press, Cambridge (2007) ISBN 0521876257
Cardoso, J.: Semantic Web Services: Theory, Tools and Applications, . IGI Global (March 2007) ISBN-10: 159904045X
Segaran, T.: Programming Collective Intelligence: Building Smart Web 2.0 Applications. O’Reilly Media, Sebastopol (2007) ISBN 0596529325
Staab, S., Studer, R.: Handbook on Ontologies. Springer, Heidelberg (2004) ISBN 3540408347
Gruber, T.R.: Toward principles for the design of ontologies used for knowledge sharing. In: Formal Ontology in Conceptual Analysis and Knowledge Representation. Kluwer Academic, Boston (1993) (in preparation)
Gruber, T.R., Olsen, G.R.: An Ontology for Engineering Mathematics
M. Chmielewski, A. Gałka, P. Jarema, K. Krasowski, A. Kosiński, Semantic Knowledge Representation in Terrorist Threat Analysis for Crisis Management Systems, LNCS, 2009
Barthelemy, M., Chow, E., Eliassi-Rad, T.: Knowledge Representation Issues in Semantic Graphs for Relationship Detection, UCRL-CONF-209845
Chmielewski, M., Kasprzyk, R.: Multi-criteria semantic association ranking based on instance knowledgebase analysis for criminal organisation identification. In: Euro 2010 (2010)
Ge, J., Qiu, Y.: Concept Similarity Matching Based on Semantic Distance. Faculty of Computer and Information Science. Southwest University Chongqing, China
Baur, M., Benkert, M.: Network Comparison. In: Network Analysis: Methodological Foundations, Springer, Heidelberg (2005)
Protégé OWL webpage, http://protege.stanford.edu/overview/protege-owl.html
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Chmielewski, M., Stąpor, P. (2011). Protégé Based Environment for DL Knowledge Base Structural Analysis. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2011. Lecture Notes in Computer Science(), vol 6922. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23935-9_31
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DOI: https://doi.org/10.1007/978-3-642-23935-9_31
Publisher Name: Springer, Berlin, Heidelberg
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