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Potential and Pitfalls of Domain-Specific Information Extraction at Web Scale

Summary: End-to-end web-scale domain-specific IE built on a Stratosphere-based pipeline with focused crawling, HTML repair, and multi-stage NLP/NER. Compared with Medline and full-text corpora to gauge scalability and quality; demonstrates real-world, domain-specific IE at web scale. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5257
Venue
SIGMOD
Year
2016
Pagerank
5.093636e-05
Overall Rank
12,045 | 17.37%
DOI
10.1145/2882903.2903736

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BibTeX Citation

@inproceedings{rheinlander_sigmod16,
        title = {{Potential and Pitfalls of Domain-Specific Information Extraction at Web Scale}},
        author = {Rheinländer, Astrid and Lehmann, Mario and Kunkel, Anja and Meier, Jörg and Leser, Ulf},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2903736},
        url = {https://dl.acm.org/doi/10.1145/2882903.2903736},
        year = {2016}
}

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

Rank Cited Paper Year Venue Pagerank
319 Declarative Information Extraction Using Datalog with Embedded Extraction Predicates 2007 VLDB 0.00021377065
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