Just-in-Time Information Extraction using Extraction Views

Summary: Just-in-Time Information Extraction uses Extraction Views to fuse IE with DBMS query processing; extractors over documents feed extraction views. A cost-based optimizer uses view infrastructure (pushdown, access paths, joins) to meet run-time goals, with a visual front-end for schema design. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4626
Venue: SIGMOD
Year: 2012
Pagerank: 5.093636e-05
Overall Rank: 12,312 | 15.53%
DOI: 10.1145/2213836.2213913

Incoming Non-self Citations Over Time

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

Authors

1. Amr El-Helw (EMC Corporation)
2. Mina H. Farid (University of Waterloo)
3. Ihab F. Ilyas (Qatar Computing Research Institute)

BibTeX Citation

@inproceedings{elhelw_sigmod12,
        title = {{Just-in-Time Information Extraction using Extraction Views}},
        author = {El-Helw, Amr and Farid, Mina H. and Ilyas, Ihab F.},
        series = {{SIGMOD} '12},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2213836.2213913},
        url = {https://dl.acm.org/doi/10.1145/2213836.2213913},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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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8	2,244	Join Queries with External Text Sources: Execution and Optimization Techniques	1995	SIGMOD
9	559	Optimizing Queries Using Materialized Views: A Practical, Scalable Solution	2001	SIGMOD
10	11,440	Autonomously Computable Information Extraction	2023	VLDB