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Knowledge Harvesting in the Big-Data Era

Summary: Survey of scalable knowledge harvesting from Web/text for large KBs (DBpedia/Freebase/YAGO), stressing distributed extraction and entity-centric analytics. Highlights expanding entities/facts, multilingual/temporal coverage, commonsense knowledge, disambiguation, and cross-source sameAs linking; outlines data-management challenges. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4719
Venue
SIGMOD
Year
2013
Pagerank
5.093636e-05
Overall Rank
12,242 | 16.01%
DOI
10.1145/2463676.2463724

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{suchanek_sigmod13,
        title = {{Knowledge Harvesting in the Big-Data Era}},
        author = {Suchanek, Fabian and Weikum, Gerhard},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2463724},
        url = {https://dl.acm.org/doi/10.1145/2463676.2463724},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
7,929 Knowledge Bases in the Age of Big Data Analytics 2014 VLDB 5.5181056e-05
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Outgoing Citations (Sorted by Pagerank)

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