Grouping Answers in Ontology-Based Query Answering

Maxime Buron 1
1 CEDAR - Rich Data Analytics at Cloud Scale
LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau], Inria Saclay - Ile de France
Abstract : We aim at easing the use of semantic and structured data by improving the restitution of answers. Instead of providing a set/ ranked list of answers, we devise techniques to group answers and to semantically label the group in an informative way, easing further exploration of the answers.
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Master thesis
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https://hal.inria.fr/hal-01622564
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Submitted on : Monday, November 27, 2017 - 11:03:14 AM
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Maxime Buron. Grouping Answers in Ontology-Based Query Answering. Logic in Computer Science [cs.LO]. 2017. ⟨hal-01622564v2⟩

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