AGDISTIS-agnostic disambiguation of named entities using linked open data

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

AGDISTIS-agnostic disambiguation of named entities using linked open data. / Usbeck, Ricardo; Ngonga Ngomo, Axel Cyrille; Röder, Michael et al.
ECAI 2014 - 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings. ed. / Torsten Schaub; Gerhard Friedrich; Barry O'Sullivan. IOS Press BV, 2014. p. 1113-1114 (Frontiers in Artificial Intelligence and Applications; Vol. 263).

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Usbeck, R, Ngonga Ngomo, AC, Röder, M, Gerber, D, Athaide Coelho, S, Auer, S & Both, A 2014, AGDISTIS-agnostic disambiguation of named entities using linked open data. in T Schaub, G Friedrich & B O'Sullivan (eds), ECAI 2014 - 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings. Frontiers in Artificial Intelligence and Applications, vol. 263, IOS Press BV, pp. 1113-1114, 21st European Conference on Artificial Intelligence, ECAI 2014, Prague, Czech Republic, 18.08.14. https://doi.org/10.3233/978-1-61499-419-0-1113

APA

Usbeck, R., Ngonga Ngomo, A. C., Röder, M., Gerber, D., Athaide Coelho, S., Auer, S., & Both, A. (2014). AGDISTIS-agnostic disambiguation of named entities using linked open data. In T. Schaub, G. Friedrich, & B. O'Sullivan (Eds.), ECAI 2014 - 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings (pp. 1113-1114). (Frontiers in Artificial Intelligence and Applications; Vol. 263). IOS Press BV. https://doi.org/10.3233/978-1-61499-419-0-1113

Vancouver

Usbeck R, Ngonga Ngomo AC, Röder M, Gerber D, Athaide Coelho S, Auer S et al. AGDISTIS-agnostic disambiguation of named entities using linked open data. In Schaub T, Friedrich G, O'Sullivan B, editors, ECAI 2014 - 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings. IOS Press BV. 2014. p. 1113-1114. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/978-1-61499-419-0-1113

Bibtex

@inbook{3504e2f1de374106af50334be49a3bde,
title = "AGDISTIS-agnostic disambiguation of named entities using linked open 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 Data Web 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. We address this issue 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.",
keywords = "Informatics, Business informatics",
author = "Ricardo Usbeck and {Ngonga Ngomo}, {Axel Cyrille} and Michael R{\"o}der and Daniel Gerber and {Athaide Coelho}, Sandro and S{\"o}ren Auer and Andreas Both",
note = "Publisher Copyright: {\textcopyright} 2014 The Authors and IOS Press.; 21st European Conference on Artificial Intelligence, ECAI 2014, ECAI 2014 ; Conference date: 18-08-2014 Through 22-08-2014",
year = "2014",
doi = "10.3233/978-1-61499-419-0-1113",
language = "English",
isbn = "978-1-61499-418-3",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "1113--1114",
editor = "Torsten Schaub and Gerhard Friedrich and Barry O'Sullivan",
booktitle = "ECAI 2014 - 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings",
address = "Netherlands",
url = "http://www.ecai2014.org/",

}

RIS

TY - CHAP

T1 - AGDISTIS-agnostic disambiguation of named entities using linked open data

AU - Usbeck, Ricardo

AU - Ngonga Ngomo, Axel Cyrille

AU - Röder, Michael

AU - Gerber, Daniel

AU - Athaide Coelho, Sandro

AU - Auer, Sören

AU - Both, Andreas

N1 - Conference code: 21

PY - 2014

Y1 - 2014

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 Data Web 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. We address this issue 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.

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 Data Web 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. We address this issue 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.

KW - Informatics

KW - Business informatics

UR - http://www.scopus.com/inward/record.url?scp=84923171874&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/13e936b1-69cb-3b25-bb69-dbe3af351a69/

U2 - 10.3233/978-1-61499-419-0-1113

DO - 10.3233/978-1-61499-419-0-1113

M3 - Article in conference proceedings

AN - SCOPUS:84923171874

SN - 978-1-61499-418-3

T3 - Frontiers in Artificial Intelligence and Applications

SP - 1113

EP - 1114

BT - ECAI 2014 - 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings

A2 - Schaub, Torsten

A2 - Friedrich, Gerhard

A2 - O'Sullivan, Barry

PB - IOS Press BV

T2 - 21st European Conference on Artificial Intelligence, ECAI 2014

Y2 - 18 August 2014 through 22 August 2014

ER -