地理问答的参数化空间SQL转换

Wei Chen
{"title":"地理问答的参数化空间SQL转换","authors":"Wei Chen","doi":"10.1109/ICSC.2014.44","DOIUrl":null,"url":null,"abstract":"Spatial SQL (structured query language) is a powerful tool for systematically solving geographic problems, however, it has not been widely applied to the problem of geographic question answering. This paper introduces a parameterized approach to translate natural language geographic questions into spatial SQLs. In particular, three types of complexity are introduced and initial solutions are proposed to deal with these complexities. The entire parameterization process is implemented to generate spatial SQL templates for five types of geographic questions. It is suggested that our approach is useful for solving natural geographic problems using spatial functions such as those in a GIS.","PeriodicalId":175352,"journal":{"name":"2014 IEEE International Conference on Semantic Computing","volume":"89 1-3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Parameterized Spatial SQL Translation for Geographic Question Answering\",\"authors\":\"Wei Chen\",\"doi\":\"10.1109/ICSC.2014.44\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Spatial SQL (structured query language) is a powerful tool for systematically solving geographic problems, however, it has not been widely applied to the problem of geographic question answering. This paper introduces a parameterized approach to translate natural language geographic questions into spatial SQLs. In particular, three types of complexity are introduced and initial solutions are proposed to deal with these complexities. The entire parameterization process is implemented to generate spatial SQL templates for five types of geographic questions. It is suggested that our approach is useful for solving natural geographic problems using spatial functions such as those in a GIS.\",\"PeriodicalId\":175352,\"journal\":{\"name\":\"2014 IEEE International Conference on Semantic Computing\",\"volume\":\"89 1-3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Conference on Semantic Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSC.2014.44\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Semantic Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSC.2014.44","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

空间SQL (structured query language,结构化查询语言)是系统解决地理问题的有力工具,但在地理问答问题中尚未得到广泛应用。本文介绍了一种将自然语言地理问题转换为空间sql的参数化方法。特别地,介绍了三种类型的复杂性,并提出了处理这些复杂性的初步解决方案。整个参数化过程实现为五种类型的地理问题生成空间SQL模板。这表明我们的方法对于利用GIS中的空间函数来解决自然地理问题是有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Parameterized Spatial SQL Translation for Geographic Question Answering
Spatial SQL (structured query language) is a powerful tool for systematically solving geographic problems, however, it has not been widely applied to the problem of geographic question answering. This paper introduces a parameterized approach to translate natural language geographic questions into spatial SQLs. In particular, three types of complexity are introduced and initial solutions are proposed to deal with these complexities. The entire parameterization process is implemented to generate spatial SQL templates for five types of geographic questions. It is suggested that our approach is useful for solving natural geographic problems using spatial functions such as those in a GIS.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Fulgeo -- Towards an Intuitive User Interface for a Semantics-Enabled Multimedia Search Engine Refinement of Ontology-Constrained Human Pose Classification "Units of Meaning" in Medical Documents: Natural Language Processing Perspective Enhancing Multimedia Semantic Concept Mining and Retrieval by Incorporating Negative Correlations Cloud Resource Auto-scaling System Based on Hidden Markov Model (HMM)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1