NLMO: Towards a Natural Language Tool for Querying Moving Objects

Xieyang Wang, Jianqiu Xu, Yaxin Wang

Abstract: 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.