Standard
AGDISTIS - Graph-based disambiguation of named entities using linked data. /
Usbeck, Ricardo; Ngomo, Axel Cyrille Ngonga; Röder, Michael et al.
The SemanticWeb - ISWC 2014 - 13th International SemanticWeb Conference, Proceedings. Hrsg. / Tania Tudorache; Craig Knoblock; Paul Groth; Carole Goble; Chris Welty; Abraham Bernstein; Peter Mika; Denny Vrandečić; Natasha Noy; Krzysztof Janowicz. Springer-Verlag Wien, 2014. S. 457-471 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 8796).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
Harvard
Usbeck, R, Ngomo, ACN, Röder, M, Gerber, D, Coelho, SA, Auer, S & Both, A 2014,
AGDISTIS - Graph-based disambiguation of named entities using linked data. in T Tudorache, C Knoblock, P Groth, C Goble, C Welty, A Bernstein, P Mika, D Vrandečić, N Noy & K Janowicz (Hrsg.),
The SemanticWeb - ISWC 2014 - 13th International SemanticWeb Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 8796, Springer-Verlag Wien, S. 457-471, 13th International Semantic Web Conference, ISWC 2014, Riva del Garda, Italien,
19.10.14.
https://doi.org/10.1007/978-3-319-11964-9_29
APA
Usbeck, R., Ngomo, A. C. N., Röder, M., Gerber, D., Coelho, S. A., Auer, S., & Both, A. (2014).
AGDISTIS - Graph-based disambiguation of named entities using linked data. In T. Tudorache, C. Knoblock, P. Groth, C. Goble, C. Welty, A. Bernstein, P. Mika, D. Vrandečić, N. Noy, & K. Janowicz (Hrsg.),
The SemanticWeb - ISWC 2014 - 13th International SemanticWeb Conference, Proceedings (S. 457-471). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 8796). Springer-Verlag Wien.
https://doi.org/10.1007/978-3-319-11964-9_29
Vancouver
Usbeck R, Ngomo ACN, Röder M, Gerber D, Coelho SA, Auer S et al.
AGDISTIS - Graph-based disambiguation of named entities using linked data. in Tudorache T, Knoblock C, Groth P, Goble C, Welty C, Bernstein A, Mika P, Vrandečić D, Noy N, Janowicz K, Hrsg., The SemanticWeb - ISWC 2014 - 13th International SemanticWeb Conference, Proceedings. Springer-Verlag Wien. 2014. S. 457-471. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-11964-9_29
Bibtex
@inbook{87a707ffb2a24ce69a0641938a679351,
title = "AGDISTIS - Graph-based disambiguation of named entities using linked data",
abstract = "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.",
keywords = "Informatics",
author = "Ricardo Usbeck and Ngomo, {Axel Cyrille Ngonga} and Michael R{\"o}der and Daniel Gerber and Coelho, {Sandro Athaide} and S{\"o}ren Auer and Andreas Both",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 13th International Semantic Web Conference, ISWC 2014, ISWC 2014 ; Conference date: 19-10-2014 Through 23-10-2014",
year = "2014",
month = jan,
day = "1",
doi = "10.1007/978-3-319-11964-9_29",
language = "English",
isbn = "978-3-319-11963-2",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag Wien",
pages = "457--471",
editor = "Tania Tudorache and Craig Knoblock and Paul Groth and Carole Goble and Chris Welty and Abraham Bernstein and Peter Mika and Denny Vrande{\v c}i{\'c} and Natasha Noy and Krzysztof Janowicz",
booktitle = "The SemanticWeb - ISWC 2014 - 13th International SemanticWeb Conference, Proceedings",
address = "Austria",
url = "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",
}
RIS
TY - CHAP
T1 - AGDISTIS - Graph-based disambiguation of named entities using linked data
AU - Usbeck, Ricardo
AU - Ngomo, Axel Cyrille Ngonga
AU - Röder, Michael
AU - Gerber, Daniel
AU - Coelho, Sandro Athaide
AU - Auer, Sören
AU - Both, Andreas
N1 - Conference code: 13
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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.
AB - 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.
KW - Informatics
UR - http://www.scopus.com/inward/record.url?scp=84908688838&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/58a840bb-c51a-3ddb-abe3-ae7fb2518447/
U2 - 10.1007/978-3-319-11964-9_29
DO - 10.1007/978-3-319-11964-9_29
M3 - Article in conference proceedings
AN - SCOPUS:84908688838
SN - 978-3-319-11963-2
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 457
EP - 471
BT - The SemanticWeb - ISWC 2014 - 13th International SemanticWeb Conference, Proceedings
A2 - Tudorache, Tania
A2 - Knoblock, Craig
A2 - Groth, Paul
A2 - Goble, Carole
A2 - Welty, Chris
A2 - Bernstein, Abraham
A2 - Mika, Peter
A2 - Vrandečić, Denny
A2 - Noy, Natasha
A2 - Janowicz, Krzysztof
PB - Springer-Verlag Wien
T2 - 13th International Semantic Web Conference, ISWC 2014
Y2 - 19 October 2014 through 23 October 2014
ER -
