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Semantic Annotation and Information Visualization for Blogposts with refer

Tietz, Tabea; Jäger, Joscha; Waitelonis, Jörg; Sack, Harald

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.

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Verlagsausgabe §
DOI: 10.5445/IR/1000092956
Veröffentlicht am 29.04.2019
Scopus
Zitationen: 3
Coverbild
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Jahr 2016
Sprache Englisch
Identifikator ISSN: 1613-0073
KITopen-ID: 1000092956
Erschienen in Proceedings of 2nd. International Workshop on Visualization and Interaction for Ontologies and Linked Data 2016, co-located with ISWC 2016
Verlag RWTH, Aachen
Seiten 28–40
Serie CEUR Workshop Proceedings ; 1704
Schlagworte visualization, annotation, named entity linking, DBpedia
Nachgewiesen in Scopus
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