Semantic Annotation and Information Visualization for Blogposts with refer
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| Názov: | Semantic Annotation and Information Visualization for Blogposts with refer |
|---|---|
| Autori: | Tietz, Tabea, Jäger, Joscha, Waitelonis, Jörg, Sack, Harald |
| Zdroj: | ISSN: 1613-0073. |
| Informácie o vydavateľovi: | RWTH Aachen |
| Rok vydania: | 2016 |
| Zbierka: | KITopen (Karlsruhe Institute of Technologie) |
| Predmety: | visualization, annotation, named entity linking, DBpedia, ddc:330, Economics, info:eu-repo/classification/ddc/330 |
| Popis: | 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. |
| Druh dokumentu: | article in journal/newspaper conference object |
| Popis súboru: | application/pdf |
| Jazyk: | English |
| Relation: | CEUR Workshop Proceedings; info:eu-repo/semantics/altIdentifier/issn/1613-0073; https://publikationen.bibliothek.kit.edu/1000092956; https://publikationen.bibliothek.kit.edu/1000092956/26835862; https://doi.org/10.5445/IR/1000092956 |
| DOI: | 10.5445/IR/1000092956 |
| Dostupnosť: | https://publikationen.bibliothek.kit.edu/1000092956 https://publikationen.bibliothek.kit.edu/1000092956/26835862 https://doi.org/10.5445/IR/1000092956 |
| Rights: | info:eu-repo/semantics/openAccess |
| Prístupové číslo: | edsbas.BAADB824 |
| Databáza: | BASE |
Nájsť tento článok vo Web of Science | Abstrakt: | 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. |
|---|---|
| DOI: | 10.5445/IR/1000092956 |