In this thesis, we study information management problems that arise in the Semantic Web, focusing on the Resource Description Framework (RDF) model and its associated SPARQL query language. To this end, we focus in three directions, namely (i) RDF data evolution, (ii) storage, indexing and query optimization in RDF/SPARQL engines, and (iii) efficient and scalable information retrieval from multidimensional RDF datasets. We present efficient and scalable methods focused on specific problems in

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... e aforementioned directions, with the ultimate aim to propose advancements in the relevant state of the art. In the first direction (chapters 2 and 3), we study the problem of representing, storing and querying evolving RDF data. To this end, a novel data model and query language are proposed, that address representation of versioning in heterogeneous domains,. Furthermore, in order to assist evaluation of RDF versioning and evolution management engines and frameworks, a novel synthetic dataset generator is introduced.