ConTag : a semantic tag recommendation system

Benjamin Adrian; Leo Sauermann; Thomas Roth-Berghofer

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. -- Ontology ; Web 2.0 ; semantic web ; social software ; tagging

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Year of publication:	2007
Authors:	Adrian, Benjamin ; Sauermann, Leo ; Roth-Berghofer, Thomas R.
Published in:	I-MEDIA '07, I-SEMANTICS '07 : International Conferences on New Media Technology and Semantic Systems ; [conference proceedings ; as part of TRIPLE-I 2007 ; Graz, Austria, September 5 - 7, 2007]. - [Graz : Verl. der Techn. Univ.] [u.a.]. - 2007, p. 297-304
Subject:	Personalisierung \| Personalization \| Semantisches Web \| Semantic web \| Metadaten \| Metadata \| Electronic Commerce \| E-commerce \| Wissensmanagement \| Knowledge management \| Ontologie \| Ontology

Extent:	graph. Darst.
Type of publication:	Article
Type of publication (narrower categories):	Aufsatz im Buch ; Book section
Language:	English
Notes:	Systemvoraussetzungen: Acrobat Reader
Other identifiers:	hdl:10419/44447 [Handle]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10009505132