QAKiS: an Open Domain QA System based on Relational Patterns

We present QAKiS, a system for open domain Question Answering over linked data. It addresses the problem of question interpretation as a relation-based match, where fragments of the question are matched to binary relations of the triple store, using relational textual patterns automatically collected. For the demo, the relational patterns are automatically extracted from Wikipedia, while DBpedia is the RDF data set to be queried using a natural language interface.

Keywords

NLP Question Answering System linked data Dbpedia Wikipedia semantic web natural language processing

Domains

Computer Science [cs] Artificial Intelligence [cs.AI] Computer Science [cs] Web Computer Science [cs] Social and Information Networks [cs.SI]

ISWCposter Cabrio et al.pdf (1.45 Mo) Fichier principal

paper_24.pdf (775.66 Ko)

Cabrio QAKIS Madness.pdf (1.31 Mo)

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Origin : Files produced by the author(s)

Format : Presentation
Origin : Files produced by the author(s)

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https://hal.inria.fr/hal-01171115

Submitted on : Thursday, July 2, 2015-7:48:38 PM

Last modification on : Tuesday, November 22, 2022-5:32:24 PM

Long-term archiving on: Tuesday, April 25, 2017-10:20:11 PM

Dates and versions

hal-01171115 , version 1 (02-07-2015)

Identifiers

HAL Id : hal-01171115 , version 1

Cite

Elena Cabrio, Julien Cojan, Alessio Palmero Aprosio, Bernardo Magnini, Alberto Lavelli, et al.. QAKiS: an Open Domain QA System based on Relational Patterns. International Semantic Web Conference, ISWC 2012, Nov 2012, Boston, United States. . ⟨hal-01171115⟩

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