From Information to Knowledge: Harvesting Entities and Relationships from Web Sources
Summary: Tutorial surveying methods to automatically harvest entities, classes, relations and temporal contexts from semi-structured and natural-language Web sources (e.g., Wikipedia, DBpedia, YAGO) into high-precision, high-recall knowledge bases. Discusses extraction/integration pipelines, maintenance, evaluation, and open research challenges. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Gerhard Weikum (Max Planck Institute)
- 2. Martin Theobald (Max Planck Institute)
BibTeX Citation
@inproceedings{weikum_pods10,
address = {New York, NY, USA},
series = {{PODS} '10},
title = {{From Information to Knowledge: Harvesting Entities and Relationships from Web Sources}},
url = {https://dl.acm.org/doi/10.1145/1807085.1807097},
doi = {10.1145/1807085.1807097},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Weikum, Gerhard and Theobald, Martin},
year = {2010}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 579 | Incremental Knowledge Base Construction Using DeepDive | 2015 | VLDB | 0.00016217563 |
| 6,861 | An Efficient Publish/Subscribe Index for E-Commerce Databases | 2014 | VLDB | 5.7517379e-05 |
| 12,242 | Knowledge Harvesting in the Big-Data Era | 2013 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 24 of 24 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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