Type prediction in noisy RDF knowledge bases using hierarchical multilabel classification with graph and latent features


Melo, André ; Völker, Johanna ; Paulheim, Heiko


DOI: https://doi.org/10.1142/S0218213017600119
URL: https://www.researchgate.net/publication/316066871...
Additional URL: http://www.heikopaulheim.com/docs/ijait2017.pdf
Document Type: Article
Year of publication: 2017
The title of a journal, publication series: International Journal on Artificial Intelligence Tools : IJAIT
Volume: 26
Issue number: 2
Page range: Art. 1760011,1-32
Place of publication: Singapur [u.a.]
Publishing house: World Scientific Publ.
ISSN: 0218-2130 , 1793-6349
Publication language: English
Institution: School of Business Informatics and Mathematics > Web Data Mining (Juniorprofessur) (Paulheim 2013-2017)
School of Business Informatics and Mathematics > Wirtschaftsinformatik V (Bizer)
Subject: 004 Computer science, internet

Dieser Eintrag ist Teil der Universitätsbibliographie.




+ Citation Example and Export

Melo, André ; Völker, Johanna ; Paulheim, Heiko ORCID: 0000-0003-4386-8195 (2017) Type prediction in noisy RDF knowledge bases using hierarchical multilabel classification with graph and latent features. International Journal on Artificial Intelligence Tools : IJAIT Singapur [u.a.] 26 2 Art. 1760011,1-32 [Article]


+ Search Authors in

BASE: Melo, André ; Völker, Johanna ; Paulheim, Heiko

Google Scholar: Melo, André ; Völker, Johanna ; Paulheim, Heiko

ORCID: Melo, André ; Völker, Johanna ; Paulheim, Heiko ORCID: 0000-0003-4386-8195

+ Page Views

Hits per month over past year

Detailed information



You have found an error? Please let us know about your desired correction here: E-Mail


Actions (login required)

Show item Show item