QAnswer: A Question Answering prototype bridging the gap between a considerable part of the LOD cloud and end-users
Identifieur interne : 000000 ( France/Extraction ); suivant : 000001QAnswer: A Question Answering prototype bridging the gap between a considerable part of the LOD cloud and end-users
Auteurs : Dennis Diefenbach [France] ; Pedro Migliatti [Brésil] ; Omar Qawasmeh [France] ; Vincent Lully [France] ; Kamal Singh [France] ; Pierre Maret [France]Source :
Descripteurs français
- Wicri :
- topic : Web sémantique.
English descriptors
Abstract
We present QAnswer, a Question Answering system which queries at the same time 3 core datasets of the Semantic Web, that are relevant for end-users. These datasets are Wikidata with Lexemes, LinkedGeodata and Musicbrainz. Additionally, it is possible to query these datasets in English, German, French, Italian, Spanish, Pour-tuguese, Arabic and Chinese. Moreover, QAnswer includes a fall-back option to the search engine Qwant when the answer to a question cannot be found in the datasets mentioned above. These features make QAnswer as the first prototype of a Question Answering System over a considerable part of the LOD cloud.
Url:
DOI: 10.1145/3308558.3314124
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 000016
- to stream Hal, to step Curation: 000016
- to stream Hal, to step Checkpoint: 000000
- to stream Main, to step Merge: 000000
- to stream Main, to step Curation: 000000
- to stream Main, to step Exploration: 000000
Links to Exploration step
Hal:hal-02121400Le document en format XML
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<front><div type="abstract" xml:lang="en">We present QAnswer, a Question Answering system which queries at the same time 3 core datasets of the Semantic Web, that are relevant for end-users. These datasets are Wikidata with Lexemes, LinkedGeodata and Musicbrainz. Additionally, it is possible to query these datasets in English, German, French, Italian, Spanish, Pour-tuguese, Arabic and Chinese. Moreover, QAnswer includes a fall-back option to the search engine Qwant when the answer to a question cannot be found in the datasets mentioned above. These features make QAnswer as the first prototype of a Question Answering System over a considerable part of the LOD cloud.</div>
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