Abstract
In the economic and financial analysis domain, quick access to the right information plays a major role. Using current systems, the search for and presentation of data is very cumbersome. The data, mostly in form of time-series, is stored in various databases. In order to retrieve the searched data, the analysts need to know where to search and sometimes even the structure of the database and its coding. Then it is required to export the data, process the data and create a chart to view the data. This might take time from tens of minutes to hours. In our work we present a first prototype of an integrated search engine that takes as input a natural language query and offers graphic and text output depending on the user task. The system automatically identifies the resulting time-series and types of graphical data presentation, and shows the results in a web browser or in Excel. The knowledge based expert system uses domain ontologies for extraction of economic terms in the search queries and specially built data type taxonomies with user task and chart type ontologies for the identification of graphical output.
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References
Aigner, W., Miksch, S., Muller, W., Schumann, H., Tominski, C.: Visualizing time-oriented data – A systematic view. Computers & Graphics 31(3), 401–409 (2007)
Amar, R., Stasko, J.: A Knowledge Task-Based Framework for Design and Evaluation of Information Visualizations. In: Proc. IEEE Symposium on Information Visualization, pp. 143–150 (2004)
Amar, R., Eagan, J., Stasko, J.: Low-Level Components of Analytic Activity in Information Visualization. Georgia Institute of Technology (2006)
Audersch, S., Flach, G.: Semantic Web Technologien fr die visuelle Exploration und Fusion multivariater Datenbestnden. In: Proceedings of Berliner XMLTage (2005)
Card, S.K., Mackinlay, J.D., Shneiderman, B.: Readings in Information Visualization. Using Vision to Think. Morgan Kaufmann, San Francisco (1999)
Casner, S.M.: A Task Analytic Approach to the Automated Design of Graphic Presentations. ACM Transactions on Graphics 10(5), 111–151 (1991)
Chi, E.H.: A Taxonomy of Visualization Techniques using the Data State Reference Model. In: Proceedings of the 2000 IEEE Symposium on Information Visualization, Salt Lake City, UT, USA (2000)
Codd, E.F.: A Relational Model of Data for Large Shared Data Banks. Communications of the ACM 13(6), 377–387 (1970)
ConWeaver, http://www.conweaver.de (cited December 1, 2008)
Cox, K., Grinter, R.E., Hibino, S.L., Jategaonkar Jagadeesan, J., Mantilla, D.: A Multi-Modal Natural Language Interface to an Information Visualization Environment. International Journal of Speech Technology (2001)
Daassi, C., Nigay, L., Fauvet, M.C.: A taxonomy of temporal data visualization techniques. Revue en Sciences du traitement de l’Information. Cepadues Editions 5(2), 41–63 (2005)
Date, C.J.: An Introduction to Database Systems, 7th edn. Addison-Wesley, Reading (2000)
Fujishiro, I., Ichikawa, Y., Furuhata, R., Takeshima, Y.: GADGET/IV: a taxonomic approach to semi-automatic design of information visualization applications using modular visualization environment. In: Proceedings IEEE Symposium on Information Visualization, pp. 77–83 (2000)
Kamps, T.M.: A Constructive Theory for Diagram Design and its Agorithmic Implementation. PhD Thesis, Technische Universitat Darmstadt (1999)
Kohlhammer, J.: Knowledge Representation for Decision-Centered Visualization. Dissertation, Technical University of Darmstadt. GCA-Verlag (2005)
Lange, S., Nocke, T., Schumann, H.: Visualisierungsdesign - ein systematischer Überblick, German, Universität Rostok (2006)
Mackinlay, J.: Automating the Design of Graphical Presentations of Relational Information. Transactions on Graphics 5(2) (1986)
Roth, S.F., Mattis, J.: Automating the Presentation of Information. In: Proceedings of the IEEE Conference on Artificial Intelligence Applications (1991)
Shneiderman, B.: The Eyes Have It: A Task by Data Type Taxonomy for Information Visualization. In: Proceedings IEEE Conference on Visual Languages (1996)
Sowa, J.F.: Principles of semantic networks. Explorations in the representation of knowledge. Morgan Kaufmann, San Francisco (1991)
Theseus, www.theseus-programm.de (cited December 1, 2008)
Tory, M., Moller, T.: Rethinking Visualization: A High-Level Taxonomy. In: Proceedings IEEE Symposium on Information Visualization, pp. 151–158 (2004)
Ware, C.: Information Visualization: Perception for Design. Morgan Kaufmann, San Francisco
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von Landesberger, T., Voss, V., Kohlhammer, J. (2009). Semantic Search and Visualization of Time-Series Data. In: Pellegrini, T., Auer, S., Tochtermann, K., Schaffert, S. (eds) Networked Knowledge - Networked Media. Studies in Computational Intelligence, vol 221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02184-8_14
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DOI: https://doi.org/10.1007/978-3-642-02184-8_14
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