Semantic Search and Visualization of Time-Series Data
Wednesday, 3rd September 2008Authors: Tatiana Tekusova, Viktor Voss, Joern Kohlhammer
Abstract: In the economic and financial analysis domain a 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 time-series answers, types of graphical data presentation
and shows the results in a web browser and in Excel. The knowledge-based expert system uses
domain ontologies for extraction of economic terms in the search queries and specially built
data type taxonomy with user task and chart type ontologies for identification of graphic output.
Keywords: Semantic Data Retrieval, Search Result Visualization, Information Visualization,
Expert Systems, Economic and Financial Data, Time Series Visualization
Categories: H.3.1, H.5.2, H.5.m, J.4, M.6


