Inferring Missing Categorical Information in Noisy and Sparse Web Markup-Reference-Cited by-同舟云学术

Inferring Missing Categorical Information in Noisy and Sparse Web Markup

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18
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Author:

Tempelmeier Nicolas¹,Demidova Elena¹,Dietze Stefan¹

Affiliation:

1. Leibniz Universität, Hannover, Germany

Funder

European Commission

BMBF

Publisher

ACM Press

Reference5 articles.

1. Mohamed Ben Ellefi, Zohra Bellahsene, Breslin John, Elena Demidova, Stefan Dietze, Julian Szymanski, and Konstantin Todorov. 2017. RDF Dataset Profiling - a Survey of Features, Methods, Vocabularies and Applications. Semantic Web Journal (2017). to appear.

2. James Bergstra and Yoshua Bengio. 2012. Random Search for Hyper-parameter Optimization. J. Mach. Learn. Res. Vol. 13 (Feb. 2012), 281--305. on Besnik Fetahu, Ujwal Gadiraju, and Stefan Dietze. 2016 . A Survey on Challenges in Web Markup Data for Entity Retrieval Proceedings of the ISWC 2016 Posters & Demonstrations Track.

3. Ran Yu, Ujwal Gadiraju, Besnik Fetahu, and Stefan Dietze. 2017. FuseM: Query-Centric Data Fusion on Structured Web Markup Proceedings of the IEEE 33rd International Conference on Data Engineering (ICDE), 2017. IEEE Computer Society, 179--182.

4. Ran Yu, Ujwal Gadiraju, Besnik Fetahu, Oliver Lehmberg, Dominique Ritze, and Stefan Dietze. 2017. KnowMore - Knowledge Base Augmentation with Structured Web Markup. Semantic Web Journal, IOS Press (2017).

5. Ran Yu, Ujwal Gadiraju, Xiaofei Zhu, Besnik Fetahu, and Stefan Dietze. 2016. Towards Entity Summarisation on Structured Web Markup. The Semantic Web: ESWC 2016 Satellite Events, (June. 2016).

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