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|Title=Smart Media Navigator: Visualizing recommendations based on linked data
 
|Title=Smart Media Navigator: Visualizing recommendations based on linked data
 
|Year=2014
 
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|Abstract=The growing content in online media libraries results in an increasing challenge for editors to curate their information and make it visible to their users. As a result, the users are confronted with the great amount of content, unable to find the information they are really interested in. The Smart Media Navigator (SMN) aims to analyze a plat- form’s entire content, enrich it with Linked Data content, and present it to the user in an innovative user interface with the help of semantic web technologies. The SMN enables the user to dynamically explore and navigate media library content.
 
|ISSN=1613-0073
 
|ISSN=1613-0073
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|Download=paper12.pdf
 
|Link=http://ceur-ws.org/Vol-1383/
 
|Link=http://ceur-ws.org/Vol-1383/
 
|Forschungsgruppe=Information Service Engineering
 
|Forschungsgruppe=Information Service Engineering
 
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Aktuelle Version vom 23. November 2022, 09:48 Uhr


Smart Media Navigator: Visualizing recommendations based on linked data


Smart Media Navigator: Visualizing recommendations based on linked data



Published: 2014 Oktober
Herausgeber: Axel Polleres, Alexander Garcia, Richard Benjamins
Buchtitel: Industry Track at the International Semantic Web Conference 2014 Co-located with the 13th International Semantic Web Conference (ISWC 2014)
Ausgabe: 1383
Seiten: 48-51
Verlag: CEUR-WS
Erscheinungsort: Riva del Garda, Italy

Referierte Veröffentlichung

BibTeX

Kurzfassung
The growing content in online media libraries results in an increasing challenge for editors to curate their information and make it visible to their users. As a result, the users are confronted with the great amount of content, unable to find the information they are really interested in. The Smart Media Navigator (SMN) aims to analyze a plat- form’s entire content, enrich it with Linked Data content, and present it to the user in an innovative user interface with the help of semantic web technologies. The SMN enables the user to dynamically explore and navigate media library content.

ISSN: 1613-0073
Download: Media:paper12.pdf
Weitere Informationen unter: Link



Forschungsgruppe

Information Service Engineering


Forschungsgebiet