Location- and keyword-based querying of geo-textual data: a survey
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 te...
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| Format: | Journal Article |
| Sprache: | English |
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2022
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| Online Zugang: | https://hdl.handle.net/10356/160498 |
| _version_ | 1826129347200679936 |
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| author | Chen, Zhida Chen, Lisi Cong, Gao Jensen, Christian S. |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Chen, Zhida Chen, Lisi Cong, Gao Jensen, Christian S. |
| author_sort | Chen, Zhida |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T07:39:05Z |
| format | Journal Article |
| id | ntu-10356/160498 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:39:05Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1604982022-07-25T07:47:30Z Location- and keyword-based querying of geo-textual data: a survey Chen, Zhida Chen, Lisi Cong, Gao Jensen, Christian S. School of Computer Science and Engineering Engineering::Computer science and engineering Geo-Textual Data Spatio-Textual Data 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. Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) Nanyang Technological University This research was supported in part by MOE Tier-2 Grant MOE2019-T2-2-181, MOE Tier-1 Grant RG114/19, an NTU ACE Grant, and the Singtel Cognitive and Artificial Intelligence Lab for Enterprises (SCALE@NTU), which is a collaboration between Singapore Telecommunications Limited (Singtel) and Nanyang Technological University (NTU) that is funded by the Singapore Government through the Industry Alignment Fund Industry Collaboration Projects Grant, and by the Innovation Fund Denmark centre, DIREC. 2022-07-25T07:47:30Z 2022-07-25T07:47:30Z 2021 Journal Article Chen, Z., Chen, L., Cong, G. & Jensen, C. S. (2021). Location- and keyword-based querying of geo-textual data: a survey. VLDB Journal, 30(4), 603-640. https://dx.doi.org/10.1007/s00778-021-00661-w 1066-8888 https://hdl.handle.net/10356/160498 10.1007/s00778-021-00661-w 2-s2.0-85103402574 4 30 603 640 en MOE2019-T2-2-181 RG114/19 VLDB Journal © 2021 The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. All rights reserved. |
| spellingShingle | Engineering::Computer science and engineering Geo-Textual Data Spatio-Textual Data Chen, Zhida Chen, Lisi Cong, Gao Jensen, Christian S. Location- and keyword-based querying of geo-textual data: a survey |
| title | Location- and keyword-based querying of geo-textual data: a survey |
| title_full | Location- and keyword-based querying of geo-textual data: a survey |
| title_fullStr | Location- and keyword-based querying of geo-textual data: a survey |
| title_full_unstemmed | Location- and keyword-based querying of geo-textual data: a survey |
| title_short | Location- and keyword-based querying of geo-textual data: a survey |
| title_sort | location and keyword based querying of geo textual data a survey |
| topic | Engineering::Computer science and engineering Geo-Textual Data Spatio-Textual Data |
| url | https://hdl.handle.net/10356/160498 |
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