research-article

Conceptualization of place via spatial clustering and co-occurrence analysis

Authors:

Dong-Po Deng,

Tyng-Ruey Chuang,

Rob LemmensAuthors Info & Claims

LBSN '09: Proceedings of the 2009 International Workshop on Location Based Social Networks

Pages 49 - 56

https://doi.org/10.1145/1629890.1629902

Published: 03 November 2009 Publication History

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Abstract

More and more users are contributing and sharing more and more contents on the Web via the use of content hosting sites and social media services. These user-generated contents are tagged with terms characterizing the contents from the users' perspectives. Massive collections of tagged photos in popular photo hosting sites are well known for their richness in semantic extent and geospatial scope. Furthermore, geo-tags, which are machine-generated positional data, are frequently embedded within these photos. We develop in this paper an approach based on the analyses of tags and geo-tags for the exploration and characterization of the implicit localities in collections of user photos. At the same time, the approach also allows us to explore the meanings given by users about the places in their photo collections. In this approach, we first use DBSCAN (Density-based Spatial Clustering with Noise) to group geo-tagged photos into clusters (of possibly multiple distance scales). Then, a co-occurrence analysis on the tags used within a cluster is utilized to extract conceptualization of the place in the cluster. The extracted concepts are not necessarily of geospatial nature (e.g., airplane/airline names in photos taken in the surrounding area of an airport) so are especially useful when compared to concepts extracted via the simple use of readily available locational resources (e.g., gazetteers).

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Paukaeva ASetoguchi TWatanabe NLuchkova V(2020)Temporary Design on Public Open Space for Improving the Pedestrian’s Perception Using Social Media Images in Winter CitiesSustainability10.3390/su1215606212:15(6062)Online publication date: 28-Jul-2020
https://doi.org/10.3390/su12156062
Shafeeq BAnsari Z(2020)Discovery of Spatial Patterns of Types of Cooking Fuels Used in the Districts of India Using Spatial Data MiningProceedings of 6th International Conference on Harmony Search, Soft Computing and Applications10.1007/978-981-15-8603-3_31(349-364)Online publication date: 17-Nov-2020
https://doi.org/10.1007/978-981-15-8603-3_31
Relia KAkbari MDuncan DChunara R(2018)Socio-spatial Self-organizing MapsProceedings of the ACM on Human-Computer Interaction10.1145/32744142:CSCW(1-23)Online publication date: 1-Nov-2018
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Index Terms

Conceptualization of place via spatial clustering and co-occurrence analysis
1. Information systems
  1. Information retrieval
  2. Information systems applications

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Information & Contributors

Information

Published In

LBSN '09: Proceedings of the 2009 International Workshop on Location Based Social Networks

November 2009

99 pages

ISBN:9781605588605

DOI:10.1145/1629890

General Chair:
Xiaofang Zhou
University of Queensland (Australia)
,
Program Chair:
Xing Xie
Microsoft Research Asia (China)

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 November 2009

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GIS '09

Sponsor:

SIGSPATIAL

GIS '09: 17th SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 3, 2009

Washington, Seattle

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LBSN '09 Paper Acceptance Rate 8 of 15 submissions, 53%;

Overall Acceptance Rate 8 of 15 submissions, 53%

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Cited By

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Paukaeva ASetoguchi TWatanabe NLuchkova V(2020)Temporary Design on Public Open Space for Improving the Pedestrian’s Perception Using Social Media Images in Winter CitiesSustainability10.3390/su1215606212:15(6062)Online publication date: 28-Jul-2020
https://doi.org/10.3390/su12156062
Shafeeq BAnsari Z(2020)Discovery of Spatial Patterns of Types of Cooking Fuels Used in the Districts of India Using Spatial Data MiningProceedings of 6th International Conference on Harmony Search, Soft Computing and Applications10.1007/978-981-15-8603-3_31(349-364)Online publication date: 17-Nov-2020
https://doi.org/10.1007/978-981-15-8603-3_31
Relia KAkbari MDuncan DChunara R(2018)Socio-spatial Self-organizing MapsProceedings of the ACM on Human-Computer Interaction10.1145/32744142:CSCW(1-23)Online publication date: 1-Nov-2018
https://dl.acm.org/doi/10.1145/3274414
Spyrou EKorakakis MCharalampidis VPsallas AMylonas P(2017)A Geo-Clustering Approach for the Detection of Areas-of-Interest and Their Underlying SemanticsAlgorithms10.3390/a1001003510:1(35)Online publication date: 18-Mar-2017
https://doi.org/10.3390/a10010035
Pat BKanza Y(2017)Where's Waldo?Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/3139958.3139962(1-10)Online publication date: 7-Nov-2017
https://dl.acm.org/doi/10.1145/3139958.3139962
Celikten ELe Falher GMathioudakis M(2017)Modeling Urban Behavior by Mining Geotagged Social DataIEEE Transactions on Big Data10.1109/TBDATA.2016.26283983:2(220-233)Online publication date: 1-Jun-2017
https://doi.org/10.1109/TBDATA.2016.2628398
Thomee BDe Francisci Morales GFerres LRossi GAlmeida VHerder E(2014)Automatic discovery of global and local equivalence relationships in labeled geo-spatial dataProceedings of the 25th ACM conference on Hypertext and social media10.1145/2631775.2631794(158-168)Online publication date: 1-Sep-2014
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Thomee BRae ASchwabe DAlmeida VGlaser HBaeza-Yates RMoon S(2013)Uncovering locally characterizing regions within geotagged dataProceedings of the 22nd international conference on World Wide Web10.1145/2488388.2488500(1285-1296)Online publication date: 13-May-2013
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Chen JWu ZGao HZhang CCao XLi D(2013)Recommending Interesting Landmarks Based on Geo-tags from Photo Sharing SitesWeb Information Systems Engineering – WISE 201310.1007/978-3-642-41154-0_11(151-159)Online publication date: 2013
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Beard K(2012)A semantic web based gazetteer model for VGIProceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information10.1145/2442952.2442962(54-61)Online publication date: 6-Nov-2012
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