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|Abstract=The growing amount of documents in archives and blogs results in an increasing challenge for curators and authors to tag, present, and recommend their content to the user. refer comprises a set of powerful tools focusing on Named Entity Linking (NEL) which help authors and curators to semi-automatically analyze a platform’s textual content and semantically annotate it based on Linked Open Data. In refer automated NEL is complemented by manual semantic annotation supported by sophisticated autosuggestion of candidate entities, implemented as publicly available Wordpress plugin. In addition, refer visualizes the semantically enriched documents in a novel navigation interface for improved exploration of the entire content across the platform. The efficiency of the presented approach is supported by a qualitative evaluation of the user interfaces. | |Abstract=The growing amount of documents in archives and blogs results in an increasing challenge for curators and authors to tag, present, and recommend their content to the user. refer comprises a set of powerful tools focusing on Named Entity Linking (NEL) which help authors and curators to semi-automatically analyze a platform’s textual content and semantically annotate it based on Linked Open Data. In refer automated NEL is complemented by manual semantic annotation supported by sophisticated autosuggestion of candidate entities, implemented as publicly available Wordpress plugin. In addition, refer visualizes the semantically enriched documents in a novel navigation interface for improved exploration of the entire content across the platform. The efficiency of the presented approach is supported by a qualitative evaluation of the user interfaces. | ||
|ISSN=1613-0073 | |ISSN=1613-0073 | ||
− | |Download=2016 Tietz VOILA2016.pdf, | + | |Download=2016 Tietz VOILA2016.pdf, |
|Link=http://ceur-ws.org/Vol-1704/paper3.pdf | |Link=http://ceur-ws.org/Vol-1704/paper3.pdf | ||
|Forschungsgruppe=Information Service Engineering | |Forschungsgruppe=Information Service Engineering | ||
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Aktuelle Version vom 26. März 2018, 09:58 Uhr
Semantic Annotation and Information Visualization for Blogposts with refer,
Semantic Annotation and Information Visualization for Blogposts with refer,
Published: 2016
Oktober
Buchtitel: Proc. of 2nd. Int. Workshop on Visualization and Interaction for Ontologies and Linked Data 2016, co-located with ISWC 2016
Ausgabe: 1704
Reihe: CEUR Workshop Proceedings
Seiten: 28--40
Verlag: CEUR-WS
Referierte Veröffentlichung
BibTeX
Kurzfassung
The growing amount of documents in archives and blogs results in an increasing challenge for curators and authors to tag, present, and recommend their content to the user. refer comprises a set of powerful tools focusing on Named Entity Linking (NEL) which help authors and curators to semi-automatically analyze a platform’s textual content and semantically annotate it based on Linked Open Data. In refer automated NEL is complemented by manual semantic annotation supported by sophisticated autosuggestion of candidate entities, implemented as publicly available Wordpress plugin. In addition, refer visualizes the semantically enriched documents in a novel navigation interface for improved exploration of the entire content across the platform. The efficiency of the presented approach is supported by a qualitative evaluation of the user interfaces.
ISSN: 1613-0073
Download: Media:2016 Tietz VOILA2016.pdf
Weitere Informationen unter: Link
Information Service Engineering