Linked Open Data is a pragmatic approach for realizing the Semantic Web vision of making the Web a global, distributed, semantics-based information system. Linked Data technology matured significantly in the past few years. Automatic linking, extraction, mapping, and visualization of RDF data became mainstream technology provided by mature open-source software components. A vast number of small and large Linked Data resources, including DBPedia, now amounts to over 50 billion triples in total. The Linked Data paradigm has evolved from a practical research idea into an up-and-coming candidate for addressing one of the biggest challenges in the area of intelligent information management: the exploitation of the Web as a platform for data and information integration as well as for search and querying.
However, for initiatives and projects like DBpedia, it is important to go global. In this paper, we inspect challenges that need to be solved in order to add the Serbian language to one of the most significant and most crucial structured knowledge sources in the present day. After introduction to linked (open) data and DBpedia, we delve into DBpedia Information Extraction Framework (DIEF), discuss Internationalized Resource Identifiers (IRIs), and see how we can cope with the digraphic nature of the Serbian language. Lastly, we go through the installation and execution of the Virtuoso Universal Server, a hybrid tool that is a combined form of RDF data management tool, Linked Data server, RDBMS, SPARQL endpoint provider, web application provider, and many more.