Abstract
Nowadays semantic lexical resources, like ontologies, are becoming increasingly important in many systems, in particular those providing access to structured textual data. Typically such resources are built based on already existing repositories and by analyzing available texts. In practice, however, building new or enriching existing resources of such type cannot be accomplished without using an appropriate tool. In this paper we present SAUText – a new system which provides infrastructure for carrying out research involving usage of semantic resources and analyzing unstructured textual data. In the system we use dedicated repository for storing various kinds of text data and take advantage of parallelization in order to speed up the analysis.
This work is supported by the National Centre for Research and Development (NCBiR) under Grant No. SP/I/1/77065/10 by the Strategic scientific research and experimental development program: Interdisciplinary System for Interactive Scientific and Scientific-Technical Information.
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Protaziuk, G., Lewandowski, J., Bembenik, R. (2014). SAUText — A System for Analysis of Unstructured Textual Data. In: Andreasen, T., Christiansen, H., Cubero, JC., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2014. Lecture Notes in Computer Science(), vol 8502. Springer, Cham. https://doi.org/10.1007/978-3-319-08326-1_43
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DOI: https://doi.org/10.1007/978-3-319-08326-1_43
Publisher Name: Springer, Cham
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