WDAqua-corel: A Question Answering service for RDF Knowledge Bases

被引：35
|
作者：
Diefenbach, Dennis [1 ]
Singh, Kamal [1 ]
Maret, Pierre [1 ]
机构：
[1] Univ Lyon, CNRS, UMR 5516, Lab Hubert Curien, St Etienne, France
来源：
COMPANION PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2018 (WWW 2018) | 2018年
关键词：
Question Answering over Knowledge Bases; QALD; Mutlilinguality; Robustness; Portability;
D O I：
10.1145/3184558.3191541
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the last two decades a new part of the web grew significantly, namely the Semantic Web. It contains many Knowledge Bases (KB) about different areas like music, books, publications, live science and many more. Question Answering (QA) over KBs is seen as the most promising approach to bring this data to end-users. We describe WDAqua-core1, a QA service for querying RDF knowledge-bases. It is multilingual, it supports different RDF knowledge bases and it understands both full natural language questions and keyword questions.
引用
收藏
页码：1087 / 1091
页数：5
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