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Enhancing the quality of place resources in geo-folksonomies

ElGindy, Ehab and Abdelmoty, Alia 2012. Enhancing the quality of place resources in geo-folksonomies. Presented at: WAIM 2011: International Conference on Web-Age Information Management, Wuhan, China, 14-16 September 2011. Published in: Wang, L., Jiang, J., Lu, J., Hong, L. and Liu, B. eds. Web-Age Information Management: WAIM 2011 International Workshops: WGIM 2011, XMLDM 2011, SNA 2011, Wuhan, China, September 14-16, 2011, Revised Selected Papers. Lecture Notes in Computer Science Berlin and Heidelberg: Springer, pp. 1-12. 10.1007/978-3-642-28635-3_1

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Abstract

Users’ interaction and collaboration on Web 2.0 via social bookmarking applications have resulted in creating a new structure of user-generated data, denoted folksonomies, where users, Web resources and tags generated by users are linked together. Some of those applications focus on geographic maps. They allow users to create and annotate geographic places and as such generate geo-folksonomies with geographically referenced resources. Geo-folksonomies suffer from redundancy problem, where users create and tag multiple place resources that reference the same geographic place on the ground. These multiple disjointed references result in fragmented tag collections and limited opportunities for effective analysis and integration of data sets. This paper, (1) defines the quality problem of resources in a geo-folksonomy (2) describes methods for identifying and merging redundant place resources and hence reducing the uncertainty in a geo-folksonomy, and (3) describes the evaluation of the methods proposed on a realistic sample data set. The evaluation results demonstrate the potential value of the approach.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: Web 2.0, Folksonomy, Geographical Similarity, Social Bookmarking, Tagging, Geo-Tagging
Publisher: Springer
ISSN: 0302-9743
Last Modified: 06 Aug 2018 14:21
URI: http://orca-mwe.cf.ac.uk/id/eprint/67919

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