Reconciling Information in DBpedia through a Question Answering System

Elena Cabrio 1, 2 Alessio Palmero Aprosio 3 Serena Villata 2
2 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : Results obtained querying language-speci c DBpedia chap- ters SPARQL endpoints for the same query can be related by several het- erogenous relations, or contain an inconsistent set of information about the same topic. To overcome this issue in question answering systems over language-speci c DBpedia chapters, we propose the RADAR frame- work for information reconciliation. Starting from a categorization of the possible relations among the resulting instances, such framework: (i) classi es such relations, (ii) reconciles the obtained information using argumentation theory, (iii) ranks the alternative results depending on the con dence of the source in case of inconsistencies, and (iv) explains the reasons underlying the proposed ranking.
Type de document :
Poster
ISWC 2014 : 13th International Semantic Web Conference, Oct 2014, Riva del Garda, Italy. 1272, 2014, Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference (ISWC 2014). 〈CEUR〉
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https://hal.inria.fr/hal-01076616
Contributeur : Serena Villata <>
Soumis le : mercredi 22 octobre 2014 - 16:29:15
Dernière modification le : vendredi 9 décembre 2016 - 01:04:37

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  • HAL Id : hal-01076616, version 1

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Elena Cabrio, Alessio Palmero Aprosio, Serena Villata. Reconciling Information in DBpedia through a Question Answering System. ISWC 2014 : 13th International Semantic Web Conference, Oct 2014, Riva del Garda, Italy. 1272, 2014, Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference (ISWC 2014). 〈CEUR〉. 〈hal-01076616〉

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