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ObjectRunner: Lightweight, Targeted Extraction and Querying of Structured Web Data

Summary: ObjectRunner extracts, integrates, and queries Web data via a two-phase, description-driven workflow on template HTML. Domain-independent, it uses a lightweight extractor that leverages input description and page structure for rapid data fusion. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10194
Venue
VLDB
Year
2010
Pagerank
5.093636e-05
Overall Rank
12,453 | 14.57%
DOI
10.14778/1920841.1921045

Incoming Non-self Citations Over Time

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

Authors

BibTeX Citation

@article{abdessalem_vldb10,
        title = {{ObjectRunner: Lightweight, Targeted Extraction and Querying of Structured Web Data}},
        author = {Abdessalem, Talel and Cautis, Bogdan and Derouiche, Nora},
        journal = {PVLDB},
        series = {{VLDB} '10},
        volume = {3},
        number = {2},
        pages = {1585--1588},
        doi = {10.14778/1920841.1921045},
        url = {https://doi.org/10.14778/1920841.1921045},
        year = {2010}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
503 RoadRunner: Towards Automatic Data Extraction from Large Web Sites 2001 VLDB 0.00017314037
588 Extracting Structured Data from Web Pages 2003 SIGMOD 0.00016092668
1,131 The Lixto Data Extraction Project - Back and Forth between Theory and Practice 2004 PODS 0.00012044716
3,505 Context-Aware Wrapping: Synchronized Data Extraction 2007 VLDB 7.3582812e-05
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