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Vincent Lully

dblp:223/9280 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Question answering and dialogue systems · 100%
Databases, data mining, and information retrieval
1 paper
Knowledge graphs · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Question answering and dialogue systems
knowledge base question answering
0.412019
QAnswer: A Question Answering prototype bridging the gap between a considerable part of the LOD cloud and end-users · WWW 2019
Knowledge graphs › semantic web
linked open data
0.112019
QAnswer: A Question Answering prototype bridging the gap between a considerable part of the LOD cloud and end-users · WWW 2019

Methods — techniques the papers use, named apart from their topics

search engine fallback · 0.8multilingual question answering · 0.8
YearPublicationVenuePosition
2019 QAnswer: A Question Answering prototype bridging the gap between a considerable part of the LOD cloud and end-users
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, Pourtuguese, Arabic and Chinese. Moreover, QAnswer includes a fallback 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.
Dennis Diefenbach, Pedro Henrique Migliatti, Omar Qawasmeh, Vincent Lully, Pierre Maret
WWW4