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Master thesis

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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Submitted on : Monday, November 27, 2017 - 11:03:14 AM
Last modification on : Friday, February 4, 2022 - 3:11:48 AM


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  • HAL Id : hal-01622564, version 2


Maxime Buron. Grouping Answers in Ontology-Based Query Answering. Logic in Computer Science [cs.LO]. 2017. ⟨hal-01622564v2⟩



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