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Generating and Summarizing Explanations for Linked Data

Rakebul Hasan 1, *
* Corresponding author
1 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : Linked Data consumers may need explanations for debug-ging or understanding the reasoning behind producing the data. They may need the possibility to transform long explanations into more un-derstandable short explanations. In this paper, we discuss an approach to explain reasoning over Linked Data. We introduce a vocabulary to de-scribe 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.
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https://hal.inria.fr/hal-01075487
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Submitted on : Friday, October 17, 2014 - 5:01:02 PM
Last modification on : Wednesday, October 14, 2020 - 4:22:57 AM
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Rakebul Hasan. Generating and Summarizing Explanations for Linked Data. 11th Extended Semantic Web Conference (ESWC2014), May 2014, Crete, Greece. pp.473 - 487, ⟨10.1007/978-3-319-07443-6_32⟩. ⟨hal-01075487⟩

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