NLMO: Towards a Natural Language Tool for Querying Moving Objects

被引:2
作者
Wang, Xieyang [1 ]
Xu, Jianqiu [1 ]
Wang, Yaxin [2 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Nanjing, Peoples R China
[2] Lanzhou Univ, Lanzhou, Peoples R China
来源
2020 21ST IEEE INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (MDM 2020) | 2020年
关键词
D O I
10.1109/MDM48529.2020.00047
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years, natural language processing has received increasing attention in the field of database. The main task is to bridge the gap between non-expert users who are not familiar with formal query languages and the system executable language. In this demo, we develop a tool called NLMO that performs the translation of NL questions to executable query languages over moving objects databases. The tool well supports spatio-temporal range queries and nearest neighbor queries. We demonstrate the tool by reporting executable languages translated from the natural language input.
引用
收藏
页码:228 / 229
页数:2
相关论文
共 7 条
[1]   NL2CM: A Natural Language Interface to Crowd Mining [J].
Amsterdamer, Yael ;
Kukliansky, Anna ;
Milo, Tova .
SIGMOD'15: PROCEEDINGS OF THE 2015 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, 2015, :1433-1438
[2]  
Guting R. H., 2010, IEEE Data Eng. Bull., V33, P56
[3]   A foundation for representing and querying moving objects [J].
Güting, RH ;
Böhlen, MH ;
Erwig, M ;
Jensen, CS ;
Lorentzos, NA ;
Schneider, M ;
Vazirgiannis, M .
ACM TRANSACTIONS ON DATABASE SYSTEMS, 2000, 25 (01) :1-42
[4]   NaLIR: An Interactive Natural Language Interface for Querying Relational Databases [J].
Li, Fei ;
Jagadish, H., V .
SIGMOD'14: PROCEEDINGS OF THE 2014 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, 2014, :709-712
[5]   Understanding Natural Language Queries over Relational Databases [J].
Li, Fei ;
Jagadish, H. V. .
SIGMOD RECORD, 2016, 45 (01) :6-13
[6]   Natural Language Data Management and Interfaces: Recent Development and Open Challenges [J].
Li, Yunyao ;
Rafiei, Davood .
SIGMOD'17: PROCEEDINGS OF THE 2017 ACM INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, 2017, :1765-1770
[7]   ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores [J].
Saha, Diptikalyan ;
Floratou, Avrilia ;
Sankaranarayanan, Karthik ;
Minhas, Umar Farooq ;
Mittal, Ashish R. ;
Ozcan, Fatma .
PROCEEDINGS OF THE VLDB ENDOWMENT, 2016, 9 (12) :1209-1220