RWTH Aachen University
In this paper, the authors will present an approach for knowledge extraction from unstructured content. Unstructured content refers to information syndicated online, with little structure. The information extracted from these content sources is semantically tagged and stored in the form of semantic graphs. The approach is upgraded with the transformation of semantic graphs to a relational database. The goal of the content acquirement is to build a repository of formal knowledge, similar to DBpedia, for content in Slovene language.