Location- and keyword-based querying of geo-textual data: a survey
نویسندگان
چکیده
With the broad adoption of mobile devices, notably smartphones, keyword-based search for content has seen increasing use by users, who are often interested in related to their geographical location. We have also witnessed a proliferation geo-textual that encompasses both textual and information. Examples include geo-tagged microblog posts, yellow pages, web pages entities with physical locations. Over past decade, substantial research been conducted on integrating location into querying settings where underlying data is assumed be either relatively static or stream system maintains set continuous queries. This paper offers survey problems studied solutions proposed these two settings. As such, it aims offer reader first understanding key concepts techniques, serves as an “index” researchers exploring techniques data.
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ژورنال
عنوان ژورنال: The Vldb Journal
سال: 2021
ISSN: ['0949-877X', '1066-8888']
DOI: https://doi.org/10.1007/s00778-021-00661-w