Search Relevance based on the Semantic Web

In this thesis, we explore the challenge of search relevance in the context of semantic search. Specifically, the notion of semantic relevance can be distinguished from the other types of relevance in Information Retrieval (IR) in terms of employing an underlying semantic model. We propose the emerging Semantic Web data on the Web which is represented in RDF graph structures as an important candidate to become such a semantic model in a search process.