{"title":"NALSD: A Natural Language Interface for Spatial Databases","authors":"Mengyi Liu, Xieyang Wang, Jianqiu Xu","doi":"10.1145/3609956.3609974","DOIUrl":null,"url":null,"abstract":"Spatial databases have a wide range of applications such as urban planning, engineering management and data visualization for epidemic investigation. The number of users in spatial databases becomes significantly large due to the increasing demand of application requirements. Users send their queries and analysis tasks to the system and receive the corresponding feedback. However, there is a lack of research on natural language interfaces in spatial databases. In this demo, we present NALSD, a natural language transformation system designed specifically for spatial data queries. NALSD comprises two core components: (i) natural language understanding and (ii) natural language translation. The system enables automatic translation of natural language query on spatial data into executable language for the underlying database, and supports range query, nearest neighbor query and spatial join query. We demonstrate how to obtain database executable language and visualize query results based on the SECONDO system.","PeriodicalId":274777,"journal":{"name":"Proceedings of the 18th International Symposium on Spatial and Temporal Data","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 18th International Symposium on Spatial and Temporal Data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3609956.3609974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Spatial databases have a wide range of applications such as urban planning, engineering management and data visualization for epidemic investigation. The number of users in spatial databases becomes significantly large due to the increasing demand of application requirements. Users send their queries and analysis tasks to the system and receive the corresponding feedback. However, there is a lack of research on natural language interfaces in spatial databases. In this demo, we present NALSD, a natural language transformation system designed specifically for spatial data queries. NALSD comprises two core components: (i) natural language understanding and (ii) natural language translation. The system enables automatic translation of natural language query on spatial data into executable language for the underlying database, and supports range query, nearest neighbor query and spatial join query. We demonstrate how to obtain database executable language and visualize query results based on the SECONDO system.