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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Resource Classification as the Basis for a Visualization Pipeline in LOD Scenarios
verfasst von : Oscar Peña, Unai Aguilera, Diego López-de-Ipiña
Erschienen in: Metadata and Semantics Research
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After more than a decade since the first steps on the Semantic Web were set, mass adoption of these technologies is still an utopic goal. Machine-readable data should leverage to provide smarter summarisations of any dataset, making them comprehensible for any user, without the need for specific knowledge. The automatic generation of coherent visual representations based on Linked Open Data could stand for mass adoption of the Semantic Web’s vision.
Our effort towards this goal is to establish a visualization pipeline, from raw semantically annotated data as input, to insightful visualizations for data analysts as output. The first steps of this pipeline need to extract the nature of the data itself through generic SPARQL queries in order to draft the structure of the data for further stages