Methods for effective querying of RDF data

The RDF is one of the basic building blocks of the Semantic Web. It is a low-level data format intended to be used by software developers to create semantic-enabled applications. The ability to place and efficiently evaluate queries is key in this scenario. In this thesis, we approach the problem of RDF querying from three different angles. First, we present an RDF visualization tool, that the developer can use to get an idea about the structure and contents of the data. Second, we have designed extensions of the XQuery language that allow us to give it RDF handling capabilities. The main contribution is introduction of records into the language. Third, to cover query evaluation, we have designed the Bobox parallel framework, which can be used to simplify development of parallel data processing applications. It provides both task and data parallelism