Knowledge bases in the age of big data analytics

Fabian M. Suchanek; Gerhard Weikum

doi:10.14778/2733004.2733069

Knowledge bases in the age of big data analytics

Fabian M. Suchanek
, Gerhard Weikum

Max-Planck-Institut fur Informatik

Résultats de recherche: Contribution à un journal › Article de conférence › Revue par des pairs

Résumé

This tutorial gives an overview on state-of-the-art methods for the automatic construction of large knowledge bases and harnessing them for data and text analytics. It covers both big-data methods for building knowledge bases and knowledge bases being assets for big-data applications. The tutorial also points out challenges and research opportunities.

langue originale	Anglais
Pages (de - à)	1713-1714
Nombre de pages	2
journal	Proceedings of the VLDB Endowment
Volume	7
Numéro de publication	13
Les DOIs	https://doi.org/10.14778/2733004.2733069
état	Publié - 1 janv. 2014
Evénement	Proceedings of the 40th International Conference on Very Large Data Bases, VLDB 2014 - Hangzhou, Chine Durée: 1 sept. 2014 → 5 sept. 2014

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10.14778/2733004.2733069

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abstract = "This tutorial gives an overview on state-of-the-art methods for the automatic construction of large knowledge bases and harnessing them for data and text analytics. It covers both big-data methods for building knowledge bases and knowledge bases being assets for big-data applications. The tutorial also points out challenges and research opportunities.",

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M3 - Conference article

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Knowledge bases in the age of big data analytics

Résumé

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