SAUText - A system for analysis of unstructured textual data

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. © 2014 Springer International Publishing.