Creating tag hierarchies for effective navigation in social media
Proceedings of the 2008 ACM workshop on Search in social media
Efficient overlap and content reuse detection in blogs and online news articles
Proceedings of the 18th international conference on World wide web
Organization and Tagging of Blog and News Entries Based on Content Reuse
Journal of Signal Processing Systems
Navigating within news collections using tag-flakes
Journal of Visual Languages and Computing
Finding keywords in blogs: Efficient keyword extraction in blog mining via user behaviors
Expert Systems with Applications: An International Journal
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With the success of blogs as popular information sharing media, searches on blogs have become popular. In the blogosphere, tagging is used as a means of annotating blog entries with contextually meaningful keywords, which enable users more easily locate blog content. Yet, although tags provided by bloggers are effective for organizing blog entries, in many cases, they are not always sufficient in properly capturing the semantics of the blog content. In our previous work [7], we observed that there exists large degree of content overlap (not only in the form of quotation/ commentary pairs, but also as content borrowing across media outlets) among blog entries, which makes it hard for effective, discriminating keyword searches. In this paper, we further note that these implicit or explicit quotations could be leveraged to identify the contexts in which entries occur; thus, resulting in more effective tagging. Thus, we propose CDIP (a collection-driven, yet individuality-preserving tagging system) which relies on relationships provided by quotation/reuse detection and semantic-focus analysis to automatically tag the blogs in such a way that, not-only the related blogs share tags, but also individuality of the entries is preserved for discriminating tag-based accesses.