Publikation
ConTag: A Semantic Tag Recommendation System
Benjamin Adrian; Leo Sauermann; Thomas Roth-Berghofer
In: Proceedings of I-MEDIA' 07 and I-SEMANTICS' 07 International Conferences on New Media Technology and Semantic Systems as Part of (TRIPLE-I-2007), September 5-7, Graz, Austria. International Conferences on Knowledge Management and New Media Technology (I-MEDIA), Pages 297-304, JUCS, Online-Proceedings, 9/2007.
Zusammenfassung
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.