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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 indoi:10.26253/heal.uth.8604 fatcat:r3ix6dmygnehjngen3p4xe3vde