HEURISTIC EVALUATION OF VISUALIZATION IN THE SEMANTIC SEARCHING FOR ECONOMIC INFORMATION. PRELIMINARY ANALYSIS OF THE RESEARCH RESULT

• Authors: Helena Dudycz
• Languages of publication: EN

Abstracts

EN

Economic indicators provide much information concerning the functioning of an enterprise. Their usefulness depends also on decision-makers' comprehension of structural and semantic connections existing between indicators. Visualization of a semantic network in the topic map allows users to more swiftly notice and understand various relations. The main goal of this paper is to discuss the research on heuristic evaluation of visualization in the semantic searching for economic information. This study consists of three experiments with the participants. We used the two author’s applications of the ontologies for return on investment indicator and for early warning system. In this paper we analyze and compare the results of these experiments.

Keywords

EN

visualization; system usability; ontology; topic map; economic indicators

• Publisher: Katedra Informatyki Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
• Journal: Information Systems in Management
• Year: 2012
• Volume: 1
• Issue: 2
• Pages: 100-111

Dates

published

2012

Contributors

author

Helena Dudycz

• Department of Information Technology, Wrocław University of Economics

References

• Andaroodi, E., Andres, F., Ono, K., and Lebigre, P. (2004) Developing a Visual Lexical Model for Semantic Management of Architectural Visual Data, Design of Spatial Ontology for Caravanserais of Silk Roads, Journal of Digital Information Management (JDIM), vol. 2, no. 4, December, pp. 151-160.
• Ahmed K., Moore G. (2006) Applying Topic Maps To Applications, The Architecture Journal, http://msdn.microsoft.com/en-us/library/bb245661.aspx
• Arndt H., Graubitz H., Jacob S. (2008) Topic Map Based Indicator System for Environmental Management Systems, http://www.iai.fzk.de/Fachgruppe/GI/litArchive
• Atzmueller M., Puppe F. (2005) Semi-Automatic Visual Subgroup Mining Using VIKAMINE, Journal of Universal Computer Science, vol. 11, no. 11, pp. 1752-1765.
• Dudycz H. (2012) An Attempt of the Heuristic Evaluation of Visualization in Searching Economic Information in Topic Maps, [in:] CAiSE 2012 International Workshops Gdańsk, Poland, June 2012 Proceedings, M. Bajec, J. Eder, eds., Lecture Notes in Business Information Processing 112, Springer-Verlag Berlin Heidelberg, pp. 130-142.
• Eilrich L., Andres F., Sillaume G., Backes M. (2009) Fostering User Experience in Order to Improve the Quality of a Digital Library, Workshop on Advanced Technologies for Digital Libraries, http://www.cacaoproject.eu/fileadmin/media/AT4DL/paper-04.pdf
• Frické M. (2012) Logic and the Organization of Information, Springer, New York.
• Grand B.L., Soto M. (2010) Topic Maps, RDF Graphs, and Ontologies Visualization, [in:] Visualizing the Semantic Web. XML-Based Internet and Information Visualization, V. Geroimenko, C. Chen (red.), Springer-Verlag, London, pp. 59-79.
• Jain R.K., Kasana R.S., Jain S. (2009) Visualization of Mined Pattern and Its Human Aspects, International Journal of Computer Science and Information Security, vol. 4, no. 1&2, pp. 48-54.
• Lazar J., Feng J.H., Hochheiser H. (2010) Research Methods in Human-Computer Interaction, John Wiley & Sons.
• Librelotto G.R., Azevedo R.P., Ramalho J.C., Henriques P.R. (2009) Topic Maps Constraint Languages: Understanding and Comparing, International Journal of Reasoning-based Intelligent Systems, 2009, vol. 1, no. 3/4, pp. 173-181.
• Pimentel M.P., Suárez J., Caparrini F. S. (2009) Topic Maps for Philological Analysis, [in:] Linked Topic Maps. Fifth International Conference on Topic Maps Research and Applications, TMRA 2009, L. Maicher, L.M. Garshol, eds., Leipziger Beiträge zur Informatik, Band XIX, Leipzig, pp. 29-39.
• Sikorski M. (2012) User-System Interaction Design in IT Projects, Gdansk University of Technology, Gdańsk.
• Sikorski M. (2010) Interakcja człowiek-komputer, Wydawnictwo PJWSTK, Warszawa.
• Tullis T., Albert B. (2008) Measuring the Use Experience. Collecting, Analyzing, and Presenting Usability Metrics, Morgan Kaufmann Publishers.
• Won S., Oh S.G. (2008) The Effects of Topic Map Components on Serendipitous Information Retrieval, [in:] Subject-centric Computing. Fourth International Conference on Topic Maps Research and Applications, TMRA 2008, L. Maicher, L. M. Garshol, eds., Leipziger Beiträge zur Informatik, Band XII, Leipzig, pp. 301–310.
• Wurzer J., Smolnik S. (2008) Towards an Automatic Semantic Integration of Information, [in:] Subject-centric computing. Fourth International Conference on Topic Maps Research and Applications, TMRA 2008, L. Maicher, L.M. Garshol (eds.), Leipziger Beiträge zur Informatik: Band XII, Leipzig, pp. 169-179.
• 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 B., Chen H. (2005) Information Visualization, Annual Review of Information Science and Technology, vol. 39, pp. 139–177.

Identifiers

ISSN

2084-5537