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A mechanical turk for semantic content creation

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Many tasks necessary for the Semantic Web require human contribution. When involving the human not only usability and low entrance barriers have to be addressed but also the challenging topic of incentives: why should a person dedicate their time to a task? In this master thesis, the idea of a mechnical turk for various tasks of semantic content creation (ontology building, annotation, alignment, etc.) is investigated. The contributions are the theoretical foundations as well as an implementation and an extensive evaluation of the approach.