DBpedia Commons: Structured Multimedia Metadata from the Wikimedia Commons
Gaurav Vaidya, Dimitris Kontokostas, Magnus Knuth, Jens Lehmann, Sebastian Hellmann · Lecture notes in computer science · 2015
The Wikimedia Commons is an online repository of over twenty-five million freely usable audio, video and still image files, including scanned books, historically significant photographs, animal recordings, illustrative figures and maps. Being volunteer-contributed, these media files have different amounts of descriptive metadata with varying degrees of accuracy. The DBpedia Information Extraction Framework is capable of parsing unstructured text into semi-structured data from Wikipedia and transforming it into RDF for general use, but so far it has only been used to extract encyclopedia-like content. In this paper, we describe the creation of the DBpedia Commons ( DBc ) dataset, which was achieved by an extension of the Extraction Framework to support knowledge extraction from Wikimedia Commons as a media repository. To our knowledge, this is the first complete RDFization of the Wikimedia Commons and the largest media metadata RDF database in the LOD cloud.