AGDISTIS - Graph-based disambiguation of named entities using linked data

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

  • Ricardo Usbeck
  • Axel Cyrille Ngonga Ngomo
  • Michael Röder
  • Daniel Gerber
  • Sandro Athaide Coelho
  • Sören Auer
  • Andreas Both

Over the last decades, several billion Web pages have been made available on the Web. The ongoing transition from the current Web of unstructured data to the Web of Data yet requires scalable and accurate approaches for the extraction of structured data in RDF (Resource Description Framework) from these websites. One of the key steps towards extracting RDF from text is the disambiguation of named entities. While several approaches aim to tackle this problem, they still achieve poor accuracy. We address this drawback by presenting AGDISTIS, a novel knowledge-base-agnostic approach for named entity disambiguation. Our approach combines the Hypertext-Induced Topic Search (HITS) algorithm with label expansion strategies and string similarity measures. Based on this combination, AGDISTIS can efficiently detect the correct URIs for a given set of named entities within an input text. We evaluate our approach on eight different datasets against state-of-theart named entity disambiguation frameworks. Our results indicate that we outperform the state-of-the-art approach by up to 29% F-measure.

OriginalspracheEnglisch
TitelThe SemanticWeb - ISWC 2014 - 13th International SemanticWeb Conference, Proceedings
HerausgeberTania Tudorache, Craig Knoblock, Paul Groth, Carole Goble, Chris Welty, Abraham Bernstein, Peter Mika, Denny Vrandečić, Natasha Noy, Krzysztof Janowicz
Anzahl der Seiten15
VerlagSpringer-Verlag Wien
Erscheinungsdatum01.01.2014
Seiten457-471
ISBN (Print)978-3-319-11963-2
ISBN (elektronisch)978-3-319-11964-9
DOIs
PublikationsstatusErschienen - 01.01.2014
Extern publiziertJa
Veranstaltung13th International Semantic Web Conference, ISWC 2014 - Riva del Garda, Italien
Dauer: 19.10.201423.10.2014
Konferenznummer: 13
https://search.worldcat.org/de/title/semantic-web-iswc-2014-13th-international-semantic-web-conference-riva-del-garda-italy-october-19-23-2014-proceedings-part-i/oclc/941304230

Bibliographische Notiz

Publisher Copyright:
© Springer International Publishing Switzerland 2014.

DOI

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  1. Marcus Erben

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