A mathematical theory of communication
ACM SIGMOBILE Mobile Computing and Communications Review
Usage patterns of collaborative tagging systems
Journal of Information Science
Harvesting social knowledge from folksonomies
Proceedings of the seventeenth conference on Hypertext and hypermedia
Ontologies are us: A unified model of social networks and semantics
Web Semantics: Science, Services and Agents on the World Wide Web
Towards automatic extraction of event and place semantics from flickr tags
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluating tagging behavior in social bookmarking systems: metrics and design heuristics
Proceedings of the 2007 international ACM conference on Supporting group work
Tag-geotag correlation in social networks
Proceedings of the 2008 ACM workshop on Search in social media
Evaluating similarity measures for emergent semantics of social tagging
Proceedings of the 18th international conference on World wide web
Information Processing and Management: an International Journal
LinkedGeoData: Adding a Spatial Dimension to the Web of Data
ISWC '09 Proceedings of the 8th International Semantic Web Conference
| Hi-index | 0.00 |
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.