License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GISCIENCE.2018.62
URN: urn:nbn:de:0030-drops-93902
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9390/
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Wei, Xuebin ; Yao, Xiaobai Angela

A Conceptual Framework for Representation of Location-based Social Media Activities (Short Paper)

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Abstract

This research develops a conceptual framework for the representation and analysis of location-based social media activities (LBSMA) in GIS. With increasing popularity of location-based social networking, social media platforms have become new channels to observe human activities in physical and virtual worlds. At the same time, there is a shift of some human interactions from the physical space to the virtual social space. Traditional geographical representation in GIS is not sufficient to handle the increased sophistication of human activities related to, or embedded in, location-based social media data. This research proposes an ontology for the location-based social media activity data and a conceptual framework for them to be modeled in a GIS environment so that interconnections of human activities in spatial-temporal-social dimensions can be represented, organized, retrieved, analyzed, and visualized in the system.

BibTeX - Entry

@InProceedings{wei_et_al:LIPIcs:2018:9390,
  author =	{Xuebin Wei and Xiaobai Angela Yao},
  title =	{{A Conceptual Framework for Representation of Location-based Social Media Activities (Short Paper)}},
  booktitle =	{10th International Conference on Geographic Information  Science (GIScience 2018)},
  pages =	{62:1--62:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Stephan Winter and Amy Griffin and Monika Sester},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9390},
  URN =		{urn:nbn:de:0030-drops-93902},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.62},
  annote =	{Keywords: GIS, Social Media, Ontology, Location-based Social Media Activity}
}

Keywords: GIS, Social Media, Ontology, Location-based Social Media Activity
Collection: 10th International Conference on Geographic Information Science (GIScience 2018)
Issue Date: 2018
Date of publication: 02.08.2018
Supplementary Material: Study Website: www.lbsocial.net

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