With the broad adoption of mobile devices, notably smartphones, keyword-based search for content has seen increasing use by mobile users, who are often interested in content related to their geographical location. We have also witnessed a proliferation of geo-textual content that encompasses both textual and geographical information. Examples include geo-tagged microblog posts, yellow pages, and web pages related to entities with physical locations. Over the past decade, substantial research has been conducted on integrating location into keyword-based querying of geo-textual content in settings where the underlying data is assumed to be either relatively static or is assumed to stream into a system that maintains a set of continuous queries. This paper offers a survey of both the research problems studied and the solutions proposed in these two settings. As such, it aims to offer the reader a first understanding of key concepts and techniques, and it serves as an “index” for researchers who are interested in exploring the concepts and techniques underlying proposed solutions to the querying of geo-textual data.

随着移动设备（尤其是智能手机）的广泛采用，基于关键字的内容搜索已被移动用户越来越多的使用，他们通常对与他们的地理位置有关的内容感兴趣。我们还目睹了包含文本和地理信息的地理文本内容的激增。示例包括带有地理标签的微博帖子，黄页以及与具有实际位置的实体相关的网页。在过去的十年中，已经进行了大量研究，将位置信息整合到基于关键字的地理文本内容查询中，该环境中假设基础数据要么相对静态，要么被假定流到维护一组连续数据的系统中查询。本文对这两种情况下所研究的研究问题和提出的解决方案进行了概述。因此，它旨在为读者提供对关键概念和技术的初步了解，并且对于那些有兴趣探索地理文本数据查询所提出的解决方案基础的概念和技术的研究人员，它是一个“索引”。