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Dynamic place profiles from geo-folksonomies on the geosocial web

Mohamed, Soha and Abdelmoty, Alia 2014. Dynamic place profiles from geo-folksonomies on the geosocial web. Research and Development in Intelligent Systems XXXI, Springer, pp. 239-251. (10.1007/978-3-319-12069-0_18)

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Abstract

The growth of the Web and the increase in using GPS-enabled devices, coupled with the exponential growth of the social media sites, have led to a surge in research interest in Geo-folksonomy analysis. In Geo-Folksonomy, a user assigns an electronic tag to a geographical place resource identified by its longitude and latitude. The assigned tags are used to manage, categorize and describe place resources. Building data models of Geo-folksonomy data sets that represents and analyses, tags, location and time information can be helpful in studying and analysing place information. The aim of my research is to use the spatio temporal data available on the Social web, to extract dynamic place profile. Building a dynamic profile involves including the temporal dimension in the Geo-folksonomy. Indeed, adding the temporal dimension can provide an understanding of geographic places as perceived by users over time.

Item Type: Book Section
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: Springer
ISBN: 9783319120683
Last Modified: 04 Jun 2017 07:47
URI: http://orca-mwe.cf.ac.uk/id/eprint/67933

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