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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
4658
Venue
SIGMOD
Year
2013
Pagerank
4.1905499e-05
Overall Rank
12,052 | 16.24%
DOI
-

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Rank Citing Paper Year Venue Pagerank
7,507 Knowledge Bases in the Age of Big Data Analytics 2014 VLDB 4.7135369e-05
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