Problem of Visualizing Semantic Layer of a Large Number of Topics in Topic Maps

• Autorzy: Helena Dudycz
• Języki publikacji: EN

Abstrakty

EN

In the last few years an increasing interest of visualization's applications to the presentation of business information has occurred. Visualization should support the user in finding relevant information. One of the solutions which can help managerial staff to obtain essential information is that of a topic map. This is the standard uniform introduced by the International Organization for Standardization used to describe knowledge structures and associate them with information resources. Topic map is the visualization concept which can support exploration of large data sets. The advantage of visual data exploration is that the user is directly involved in the data mining process. Purpose of this article is to solve problem of large number of topics in usage topic map as a tool enabling visual exploration of huge, complex and multidimensional data set. Relating to that in the first part standard of topic map was characterized and possibilities of the use of a topic map for creation application enabling visual exploration of data were pointed out. The next part describes the solutions of the problem of a large number of topics. (original abstract)

Słowa kluczowe

EN

Data visualisation; Computer visualization; Data structures

PL

Wizualizacja danych; Wizualizacja komputerowa; Struktury danych

• Czasopismo: Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
• Rocznik: 2009
• Numer: nr 85 Advanced Information Technologies for Management - AITM 2009
• Strony: 66--76

Twórcy

autor

Helena Dudycz

• Wrocław University of Economics, Poland

Bibliografia

• Ahmed K., Moore G. (2006), Applying topic maps to applications, The Architecture Journal, January, http://msdn.microsoft.com/en-us/library/bb245661.aspx.
• Atzmucller M., Puppe F. (2005), Semi-automatic visual subgroup mining using V1KAMINE, Journal of Universal Computer Science, Vol. 11, No. 11, pp. 1752-1765.
• Dudycz H. (2009), Identyfikacja ograniczeń zastosowania mapy pojęć w wizualnej eksploracji danych, Roczniki Kolegium Analiz Ekonomicznych, SGF1, Warszawa (forthcoming).
• Dudycz H., Korczak J. (2009), Wizualna eksploracja danych finansowych za pomocą mapy pojęć, [in:] Systemy wspomagania organizacji SWO'2009, Vol. 2, Eds. T. Porębska-Miąc, H. Sroka, Prace Naukowe Akademii Ekonomicznej, AE, Katowice, pp. 253-263.
• Freese E. (2001), Using topic maps for the representation. Management & Discovery of Knowledge, ISOGEiN International, http://www.isogen.com.
• Garshol L.M. (2004), Metadata? Thesauri? Taxonomies? Topic Maps! Making sense of it all, http:// www.ontopia.net/topicmaps/materials/tm-vs-thesauri.html.
• Grand B.L., Soto M. (2000), Information Management Topic Maps Visualization, http://www.gca. org/papers/xmleurope2000/pdf/s29-03.pdf.
• ISO/IEC 13250:2000 (2000), Information Technology SGML Applications Topic Maps, International Organization for Standardization, Geneva, Corrected, 2nd edition, http://www.yl2.doe.gov/ sgml/sc34/document/0322_files.
• Keim D.A. (2002), Information visualization and visual data mining, IEEE Transactions on Visualization and Computer Graphics, Vol. 7, No. 1, pp. 110-107.
• Keiin D.A., Schneidcwind J. (2005), Scalable visual data exploration of large data sets via MultiRcso- lution, Journal of Universal Computer Science, Vol. 11, No. 11, pp. 1766-1779.
• Korczak J., Dudycz H. (2009), Approach to visualisation of financial information using topic maps, [in:] Information Management, Eds. B.F. Kubiak, A. Korowicki, Wydawnictwo Uniwersytetu Gdańskiego, Gdańsk, pp. 86-97.
• Newcomb S.R. (2002), The Economics of the Topic Maps Reference Model, http://www.RenderX. com.
• Pepper S. (2000), The TAO of Topic Maps: Finding the Way in the Age of Information, Proceedings of XML Europe, GCA, http://www.ontopia.net/topicmaps/materials/tao.hlml.
• Rath H.H. (2001), Making Topic Maps More Colourful, http://www.gca.org/papers/xinleurope2000/ pdf7s29-01.pdf.
• Sanin C, Szczerbicki E., Toro C. (2007), An OWL ontology of set of experience knowledge structure, Journal of Universal Computer Science, Vol. 13, No. 2, pp. 209-223.
• Yi M. (2008), Information organization and retrieval using a topic maps-based ontology: Results of a task-based evaluation. Journal of the American Society for Information Science and Technology, Vol. 59, No. 12, pp. 1898-1911.
• Zhu 13., Chen 11. (2005), Information visualization, Annual Review of Information Science and Technology, Vol. 39, pp. 139-177.