research-article

Using social media to find places of interest: a case study

Authors:

Steven Van Canneyt,

Olivier Van Laere,

Steven Schockaert,

Bart DhoedtAuthors Info & Claims

GEOCROWD '12: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information

Pages 2 - 8

https://doi.org/10.1145/2442952.2442954

Published: 06 November 2012 Publication History

Abstract

In this paper, we show how the large amount of geographically annotated data in social media can be used to complement existing place databases. After explaining our method, we illustrate how this approach can be used to discover new instances of a given semantic type, using London as a case study. In particular, for several place types, our method finds places in London that are not yet contained in the databases used by Foursquare, Google, LinkedGeoData and Geonames. Encouraged by these results, we briefly sketch how similar techniques could potentially be used to identify likely errors in existing databases, to estimate the spatial extent of places, to discover semantic relationships between place types, and to recommend tags to users who are uploading photos.

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Cited By

Bui T(2023)Automatic construction of POI address lists at city streets from geo-tagged photos and web data: a case study of San Jose CityMultimedia Tools and Applications10.1007/s11042-023-14862-882:22(34749-34770)Online publication date: 13-Mar-2023
https://doi.org/10.1007/s11042-023-14862-8
Nolasco-Cirugeda AGarcía-Mayor CLupu CBernabeu-Bautista A(2022)Scoping out urban areas of tourist interest though geolocated social media data: Bucharest as a case studyInformation Technology & Tourism10.1007/s40558-022-00235-824:3(361-387)Online publication date: 17-Oct-2022
https://doi.org/10.1007/s40558-022-00235-8
Samraj JMenaka N(2021)Sentimental Analysis Based on Cold-Start Recommendation with Deep Neural Learning (SACNN): A Novel Approach for Travel Recommendation in Pandemic2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)10.1109/ICMNWC52512.2021.9688450(1-5)Online publication date: 3-Dec-2021
https://doi.org/10.1109/ICMNWC52512.2021.9688450
Show More Cited By

Index Terms

Using social media to find places of interest: a case study
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Geographic visualization
2. Information systems
  1. Information retrieval
  2. Information systems applications
    1. Data mining
    2. Spatial-temporal systems

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Published In

cover image ACM Conferences

GEOCROWD '12: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information

November 2012

98 pages

ISBN:9781450316941

DOI:10.1145/2442952

Editors:
Mike Goodchild
University of Santa Barbara
,
Dieter Pfoser
Research Center "ATHENA", Greece
,
Dan Sui
Ohio State University

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2012

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SIGSPATIAL'12

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SIGSPATIAL

SIGSPATIAL'12: SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems

November 6, 2012

California, Redondo Beach

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Overall Acceptance Rate 17 of 30 submissions, 57%

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Citations

Cited By

Bui T(2023)Automatic construction of POI address lists at city streets from geo-tagged photos and web data: a case study of San Jose CityMultimedia Tools and Applications10.1007/s11042-023-14862-882:22(34749-34770)Online publication date: 13-Mar-2023
https://doi.org/10.1007/s11042-023-14862-8
Nolasco-Cirugeda AGarcía-Mayor CLupu CBernabeu-Bautista A(2022)Scoping out urban areas of tourist interest though geolocated social media data: Bucharest as a case studyInformation Technology & Tourism10.1007/s40558-022-00235-824:3(361-387)Online publication date: 17-Oct-2022
https://doi.org/10.1007/s40558-022-00235-8
Samraj JMenaka N(2021)Sentimental Analysis Based on Cold-Start Recommendation with Deep Neural Learning (SACNN): A Novel Approach for Travel Recommendation in Pandemic2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)10.1109/ICMNWC52512.2021.9688450(1-5)Online publication date: 3-Dec-2021
https://doi.org/10.1109/ICMNWC52512.2021.9688450
Novel MGrütter RBoley HBernstein A(2020)Nearness as context-dependent expression: an integrative review of modeling, measurement and contextual propertiesSpatial Cognition & Computation10.1080/13875868.2020.1754832(1-73)Online publication date: 22-May-2020
https://doi.org/10.1080/13875868.2020.1754832
Toccu MPsaila GAltomare DHung CPapadopoulos G(2019)On-line aggregation of POIs from Google and FacebookProceedings of the 34th ACM/SIGAPP Symposium on Applied Computing10.1145/3297280.3297576(1081-1089)Online publication date: 8-Apr-2019
https://dl.acm.org/doi/10.1145/3297280.3297576
Coelho JNitu PMadiraju P(2018)A Personalized Travel Recommendation System Using Social Media Analysis2018 IEEE International Congress on Big Data (BigData Congress)10.1109/BigDataCongress.2018.00046(260-263)Online publication date: Jul-2018
https://doi.org/10.1109/BigDataCongress.2018.00046
Paraskevopoulos PPalpanas T(2016)Where has this tweet come from? Fast and fine-grained geolocalization of non-geotagged tweetsSocial Network Analysis and Mining10.1007/s13278-016-0400-76:1Online publication date: 30-Sep-2016
https://doi.org/10.1007/s13278-016-0400-7
Van Canneyt SSchockaert SDhoedt B(2015)Discovering and Characterizing Places of Interest Using Flickr and TwitterHospitality, Travel, and Tourism10.4018/978-1-4666-6543-9.ch024(393-420)Online publication date: 2015
https://doi.org/10.4018/978-1-4666-6543-9.ch024
Paraskevopoulos PPalpanas T(2015)Fine-Grained Geolocalisation of Non-Geotagged TweetsProceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 201510.1145/2808797.2808869(105-112)Online publication date: 25-Aug-2015
https://dl.acm.org/doi/10.1145/2808797.2808869
Verstockt SSlavkovikj VBaker K(2015)Map-Based Linking of Geographic User and Content Profiles for Hyperlocal Content RecommendationHuman Interface and the Management of Information. Information and Knowledge in Context10.1007/978-3-319-20618-9_6(53-63)Online publication date: 21-Jul-2015
https://doi.org/10.1007/978-3-319-20618-9_6
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