Abstract
This chapter surveys knowledge extraction approaches from structured sources such as relational databases, XML and CSV. A general definition of knowledge extraction is devised that covers structured as well as unstructured sources. We summarize current progress on conversion of structured data to RDF and OWL. As an example, we provide a formalization and description of SparqlMap, which implements the relational database to RDF mapping language R2RML currently being standardized by the W3C.
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Unbehauen, J., Hellmann, S., Auer, S., Stadler, C. (2012). Knowledge Extraction from Structured Sources. In: Ceri, S., Brambilla, M. (eds) Search Computing. Lecture Notes in Computer Science, vol 7538. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34213-4_3
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DOI: https://doi.org/10.1007/978-3-642-34213-4_3
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