The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
The power of collective intelligence
netWorker - Beyond file-sharing: collective intelligence
Usage patterns of collaborative tagging systems
Journal of Information Science
On relevance distributions: Brief Communication
Journal of the American Society for Information Science and Technology
Improved annotation of the blogosphere via autotagging and hierarchical clustering
Proceedings of the 15th international conference on World Wide Web
Harvesting social knowledge from folksonomies
Proceedings of the seventeenth conference on Hypertext and hypermedia
Trend detection in folksonomies
SAMT'06 Proceedings of the First international conference on Semantic and Digital Media Technologies
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Where the social web meets the semantic web
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Semantics through language sharing
Proceedings of the hypertext 2008 workshop on Collaboration and collective intelligence
Assessing the health information needs of the emergency preparedness and management community
Information Services and Use - ICSTI 2007 and 2008
TaxoFolk: A hybrid taxonomy-folksonomy structure for knowledge classification and navigation
Expert Systems with Applications: An International Journal
Applying text-mining to personalization and customization research literature - Who, what and where?
Expert Systems with Applications: An International Journal
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Folksonomies complete the methods of indexing scientific documents. Now scientists in their function as readers may play an active role in science communication as well, since they can tag documents with terms taken from their professional or personal environment. Folksonomies allow the indexing of documents by everyone without following any rules. Besides the benefits of folksonomies there are severe problems, e.g. the tags' lack of precision. In order to overcome the shortcomings of this collaborative indexing method we introduce natural language processing of tags and a relevance ranking algorithm which is based on specific tag distributions, on aspects of collaboration and on the actions of the “prosumers”. This article is a plea for the combination of the “old” science databases and the benefits of the folksonomies.