Entityclassifier.eu: Real-Time Classification of Entities in Text with Wikipedia

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F13%3A00209083" target="_blank" >RIV/68407700:21240/13:00209083 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-642-40994-3_48" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-642-40994-3_48</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-40994-3_48" target="_blank" >10.1007/978-3-642-40994-3_48</a>

Result language
angličtina
Original language name
Entityclassifier.eu: Real-Time Classification of Entities in Text with Wikipedia
Original language description
Targeted Hypernym Discovery (THD) performs unsupervised classification of entities appearing in text. A hypernym mined from the free-text of the Wikipedia article describing the entity is used as a class. The type as well as the entity are cross-linked with their representation in DBpedia, and enriched with additional types from DBpedia and YAGO knowledge bases providing a semantic web interoperability. The system, available as a web application and web service at entityclassifier.eu , currently supports English, German and Dutch.
Czech name
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Czech description
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Machine Learning and Knowledge Discovery in Databases
ISBN
978-3-642-40993-6
ISSN
0302-9743
e-ISSN
—
Number of pages
5
Pages from-to
654-658
Publisher name
Springer-Verlag, GmbH
Place of publication
Heidelberg
Event location
Prague
Event date
Sep 23, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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