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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Rezel, R. Liang, S. | 
| Copyright Year | 2010 | 
| Description | Author affiliation: Department of Geomatics Engineering, Schulich School of Engineering, University of Calgary, 2500 University Drive NW, Calgary, Alberta T2N 1N4 (Rezel, R.; Liang, S.) | 
| Abstract | This paper presents SWE-FE: a suite of methods to extend folksonomies to the worldwide Sensor Web[1] in order to tackle the emergent data rich information poor (DRIP) syndrome afflicting most geospatial applications on the Internet. SWE-FE leverages the geospatial information associated with three key components of such collaborative tagging systems: tags, resources and users. Specifically, SWE-FE provides algorithms for: i) suggesting tags for users during the tag input stage; ii) generating tag maps which provides for serendipitous browsing; and iii) personalized searching within the folksonomy. We implement SWE-FE on the GeoCENS Sensor Web platform as a case study for assessing the efficacy of our methods. We outline the evaluation framework that we are currently employing to carry out this assessment. | 
| Starting Page | 349 | 
| Ending Page | 356 | 
| File Size | 382037 | 
| Page Count | 8 | 
| File Format | |
| ISBN | 9781424466191 | 
| e-ISBN | 9781424466221 | 
| DOI | 10.1109/CTS.2010.5478494 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 2010-05-17 | 
| Publisher Place | USA | 
| Access Restriction | Subscribed | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Automated Collaborative Filtering Taxonomy Data engineering World Wide Web Information filtering Earth Sensor Web Tag Maps Collaboration Folksonomy Tagging Information filters Internet Monitoring Tags | 
| Content Type | Text | 
| Resource Type | Article | 
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