{"title":"Querying Geo-Textual Data: Spatial Keyword Queries and Beyond","authors":"G. Cong, Christian S. Jensen","doi":"10.1145/2882903.2912572","DOIUrl":null,"url":null,"abstract":"Over the past decade, we have moved from a predominantly desktop based web to a predominantly mobile web, where users most often access the web from mobile devices such as smartphones. In addition, we are witnessing a proliferation of geo-located, textual web content. Motivated in part by these developments, the research community has been hard at work enabling the efficient computation of a variety of query functionality on geo-textual data, yielding a sizable body of literature on the querying of geo-textual data. With a focus on different types of keyword-based queries on geo-textual data, the tutorial also explores topics such as continuous queries on streaming geo-textual data, queries that retrieve attractive regions of geo-textual objects, and queries that extract properties, e.g., topics and top-$k$ frequent words, of the objects in regions. The tutorial is designed to offer an overview of the problems addressed in this body of literature and offers an overview of pertinent concepts and techniques. In addition, the tutorial suggests open problems and new research direction.","PeriodicalId":20483,"journal":{"name":"Proceedings of the 2016 International Conference on Management of Data","volume":"41 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2016-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"45","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2016 International Conference on Management of Data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2882903.2912572","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 45
Abstract
Over the past decade, we have moved from a predominantly desktop based web to a predominantly mobile web, where users most often access the web from mobile devices such as smartphones. In addition, we are witnessing a proliferation of geo-located, textual web content. Motivated in part by these developments, the research community has been hard at work enabling the efficient computation of a variety of query functionality on geo-textual data, yielding a sizable body of literature on the querying of geo-textual data. With a focus on different types of keyword-based queries on geo-textual data, the tutorial also explores topics such as continuous queries on streaming geo-textual data, queries that retrieve attractive regions of geo-textual objects, and queries that extract properties, e.g., topics and top-$k$ frequent words, of the objects in regions. The tutorial is designed to offer an overview of the problems addressed in this body of literature and offers an overview of pertinent concepts and techniques. In addition, the tutorial suggests open problems and new research direction.
在过去的十年里,我们已经从一个以桌面为主的网络转向了一个以移动网络为主的网络,在移动网络中,用户通常通过智能手机等移动设备访问网络。此外,我们正在目睹地理定位的文本网络内容的激增。在这些发展的推动下,研究界一直在努力实现对地理文本数据的各种查询功能的有效计算,产生了大量关于地理文本数据查询的文献。本教程将重点关注地理文本数据上不同类型的基于关键字的查询,还将探讨诸如流地理文本数据上的连续查询、检索地理文本对象的吸引区域的查询以及提取区域中对象的属性(例如主题和top- k - frequency words)的查询等主题。本教程旨在概述本文献中所涉及的问题,并概述相关概念和技术。此外,本教程还提出了有待解决的问题和新的研究方向。