While it is easy to find statistics on almost every topic, coming up with an explanation about those statistics is a much more difficult task. This demo showcases the prototype tool Explain-a-LOD, which uses background knowledge from DBpedia for generating possible explanations for a statistic (This demo accompanies the ESWC paper Generating Possible Interpretations for Statistics from Linked Open Data [1].).
CITATION STYLE
Paulheim, H. (2015). Nobody wants to live in a cold city where no music has been recorded analyzing statistics with explain-a-lod. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7540, pp. 387–391). Springer Verlag. https://doi.org/10.1007/978-3-662-46641-4_32
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