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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qi Xin Min Uddin, M.N. Geun-Sik Jo |
| Copyright Year | 2010 |
| Description | Author affiliation: Intelligent E-Commerce Systems Lab, School of Computer Science & Engineering, Inha University, 253 Younghyundong, Inchon, Korea (Qi Xin Min; Uddin, M.N.) || School of Computer Science and Engineering, Inha University, Inchon, Korea (Geun-Sik Jo) |
| Abstract | Collaborative tagging is a popular method in social resource sharing system. The reason why collaborative tagging system becomes popular is users can freely tags on the resources, like Flickr1 and Delicious2 . Any relationship between tags and resources are not made explicitly when tagging in folksonomy. Due to lack of semantic meaning, it is difficult for users to find related resources. Also, short of sufficient number of relevant tags increase the data sparsity which decreases the rate of information extraction against the user queries. Defining semantic relationship between tags, resources and users is an important research issue to retrieval of related information from folksonomies. In this paper, we propose a WordNet based method to find the semantic relationship between tags in folksonomy. Finally, the experiment results using Flickr data show our proposed method works well finding semantic relationship between tags in folksonomy. |
| Starting Page | 815 |
| Ending Page | 819 |
| File Size | 125415 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424455850 |
| e-ISBN | 9781424455867 |
| DOI | 10.1109/ICCAE.2010.5451821 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-02-26 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Content based retrieval Taxonomy information retrieval Information retrieval folksonomies Data mining WordNet Computer science Collaboration Tagging Internet tag Resource management Intelligent systems |
| Content Type | Text |
| Resource Type | Article |
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