抄録
In recent years, vast amount of knowledge in various fields is open to the public on the Web. This knowledge will be helpful for understanding natural language if it is used in a natural language processing system. With this background, we propose a method to generate SPARQL queries by reference to the knowledge iteratively. Besides, as an experiment to evaluate our proposed method, we plan to introduce our work to a service interaction at a robot cafeteria.
| 元の言語 | English |
|---|---|
| ページ（範囲） | 13-20 |
| ページ数 | 8 |
| ジャーナル | CEUR Workshop Proceedings |
| 巻 | 2293 |
| 出版物ステータス | Published - 2018 1 1 |
| イベント | Workshop and Poster 8th Joint International Semantic Technology Conference, JIST-WP 2018 - Awaji City, Hyogo, Japan 継続期間: 2018 11 26 → 2018 11 28 |
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ASJC Scopus subject areas
- Computer Science(all)
これを引用
Development of an access method to menu ontology data through converting natural language into SparQL queries. / Murayama, Yuri; Kobayashi, Ichiro; Morita, Takeshi; Nakano, Yukiko; Yamaguchi, Takahira.
：: CEUR Workshop Proceedings, 巻 2293, 01.01.2018, p. 13-20.研究成果: Conference article
}
TY - JOUR
T1 - Development of an access method to menu ontology data through converting natural language into SparQL queries
AU - Murayama, Yuri
AU - Kobayashi, Ichiro
AU - Morita, Takeshi
AU - Nakano, Yukiko
AU - Yamaguchi, Takahira
PY - 2018/1/1
Y1 - 2018/1/1
N2 - In recent years, vast amount of knowledge in various fields is open to the public on the Web. This knowledge will be helpful for understanding natural language if it is used in a natural language processing system. With this background, we propose a method to generate SPARQL queries by reference to the knowledge iteratively. Besides, as an experiment to evaluate our proposed method, we plan to introduce our work to a service interaction at a robot cafeteria.
AB - In recent years, vast amount of knowledge in various fields is open to the public on the Web. This knowledge will be helpful for understanding natural language if it is used in a natural language processing system. With this background, we propose a method to generate SPARQL queries by reference to the knowledge iteratively. Besides, as an experiment to evaluate our proposed method, we plan to introduce our work to a service interaction at a robot cafeteria.
KW - Natural language
KW - Semantic parsing
KW - SPARQL query generation
UR - http://www.scopus.com/inward/record.url?scp=85060043787&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060043787&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85060043787
VL - 2293
SP - 13
EP - 20
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
SN - 1613-0073
ER -