ConTag: A Semantic Tag Recommendation System

نویسندگان

  • Benjamin Adrian
  • Leo Sauermann
  • Thomas Roth-Berghofer
چکیده

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.

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تاریخ انتشار 2007