Linked Data consumers may need explanations for debugging or understanding the reasoning behind producing the data. They may need the possibility to transform long explanations into more understandable short explanations. In this paper, we discuss an approach to explain reasoning over Linked Data. We introduce a vocabulary to describe explanation related metadata and we discuss how publishing these metadata as Linked Data enables explaining reasoning over Linked Data. Finally, we present an approach to summarize these explanations taking into account user specified explanation filtering criteria. © 2014 Springer International Publishing.
CITATION STYLE
Hasan, R. (2014). Generating and summarizing explanations for linked data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8465 LNCS, pp. 473–487). Springer Verlag. https://doi.org/10.1007/978-3-319-07443-6_32
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