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Knowledge Bases in the Age of Big Data Analytics

Summary: Scalable, automatic construction of large knowledge bases for data and text analytics, with emphasis on big-data methods. KBs as reusable assets for analytics pipelines; discusses integration, challenges, and open research opportunities. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11048
Venue
VLDB
Year
2014
Pagerank
5.5181056e-05
Overall Rank
7,929 | 45.61%
DOI
10.14778/2733004.2733069

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{suchanek_vldb14,
        title = {{Knowledge Bases in the Age of Big Data Analytics}},
        author = {Suchanek, Fabian M. and Weikum, Gerhard},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {13},
        pages = {1713--1716},
        doi = {10.14778/2733004.2733069},
        url = {https://doi.org/10.14778/2733004.2733069},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
12,105 Knowledge Curation and Knowledge Fusion: Challenges, Models, and Applications 2015 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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