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Integrating web 2.0 data into linked open data cloud via clustering.
| Content Provider | CiteSeerX |
|---|---|
| Author | Giannakidou, Eirini Vakali, Athena |
| Abstract | Abstract. In this position paper, we claim that useful information mined from social tagging systems can be published and shared as Linked Data, in order to be further exploited. The proposed approach aims: i) to be applied on any social tagging platform, and ii) utilize information that concerns the collective activity of users, not individual transactions. Such information involves topics of interests, emerging trends, events, communities around events/trends. To mine this knowledge from tagging data, a number of clustering algorithms are suggested. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Open Data Cloud Linked Data Collective Activity Useful Information Individual Transaction Social Tagging Platform Event Trend |
| Content Type | Text |
| Resource Type | Article |
