BibSonomyburst/user/cschenk/conceptsBibSonomy RSS feed for /user/cschenk/concepts2012-02-16T10:09:14+01:00http://www.bibsonomy.org/bibtex/29c8080aa372c4ac558c11465d817499a/cschenkcschenk2008-07-02T11:02:53+02:00analysis concepts data discovery fca kdd knowledge paper qualitative read:2008 sourceforge stumme tool toscanaj <span class="authorEditorList"><a href="/author/Becker">P. Becker</a>, <a href="/author/Hereth">J. Hereth</a>, and <a href="/author/Stumme">G. Stumme</a> </span><em>Advances in Formal Concept Analysis for Knowledge Discovery in Databases., </em><em>page 1-2. </em><em>Lyon, France, </em>(<em>July 2002</em>)Wed Jul 02 11:02:53 CEST 2008Lyon, FranceAdvances in Formal Concept Analysis for Knowledge Discovery in Databases.July 23,1-2Toscana{J}: An Open Source Tool for Qualitative Data Analysis2002analysis concepts data discovery fca kdd knowledge paper qualitative read:2008 sourceforge stumme tool toscanaj http://www.bibsonomy.org/bibtex/2baf236eafcb9b39d34339a798bfef58b/cschenkcschenk2008-06-07T07:35:14+02:00concepts contag dms document extraction management nepomuk ontology paper pimo read:2008 recommendation semantic skos tags term <span class="authorEditorList"><a href="/author/Adrian">Benjamin Adrian</a>, <a href="/author/Sauermann">Leo Sauermann</a>, and <a href="/author/Roth-Berghofer">Thomas Roth-Berghofer</a> </span><em>Proceedings of I-Semantics&#039; 07, </em><em>page pp. 297-304. </em><em>JUCS, </em>(<em>2007</em>)Sat Jun 07 07:35:14 CEST 2008Proceedings of I-Semantics' 07pp. 297-304ConTag: A semantic tag recommendation system2007concepts contag dms document extraction management nepomuk ontology paper pimo read:2008 recommendation semantic skos tags term ConTag is an approach to generate semantic tag recommendations for documents based on Semantic Web ontologies and Web 2.0 services. We designed and implemented a process to normalize documents to RDF format, extract document topics using Web 2.0 services and finally match extracted topics to a Semantic Web ontology. Due to ConTag we are able to show that the information provided by Web 2.0 services in combination with a Semantic Web ontology enables the generation of relevant semantic tag recommendations for documents. The main contribution of this work is a semantic tag recommendation process based on a choreography of Web 2.0 services.