Source URL: www.dfki.uni-kl.de/~sauermann/papers/adrian+2007a.pdf
This paper introduce the Contag approahch. It generates semantic tag recommendations for documents based on Semantic Web ontologies and Web 2.0 Services. They 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.
ConTag is based on a Semantic Tag Recommendation Process like below:
1. During the first step, Normalisation, the document’s content is tranformed to
RDF format to gain a fulltext description.
2. During the second step, Topic Extraction, topics are extracted by requesting
Web 2.0 services. This results in a topic map using SKOS vocabulary (Simple
Knowledge Organisation System)
3. The Alignment Generation is based on document classification methods.
For each topic in the topic map, several weighted alignment possibilities are
computed to retrieve similar things.
4. The forth step is called Alignment Execution. The alignment scheme is visualized as tag recommendations. The user decides whether to accept or reject
recommendations.
Related sites
-Extracting relevant keypahrases
http://tagthe.net
http://www.topicalizer.com
http://www.dfki.uni- kl.de/~horak/2006/contag
http://phaselibs.opendfki.de/wiki/AlignmentOntology
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