Efficient Exploration of Linked Data

Summary: eLinda: exploration of RDF graphs via bar-chart expansions (subclass, property, object) compiled to SPARQL. A worst-case-optimal join engine yields 1-2 orders of magnitude speedups over standard SPARQL, enabling practical exploration of Linked Data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 5501
Venue: SIGMOD
Year: 2018
Pagerank: 5.093636e-05
Overall Rank: 11,905 | 18.33%
DOI: 10.1145/3183713.3183719

Incoming Non-self Citations Over Time

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Authors

1. Oren Kalinsky (Technion)

BibTeX Citation

@inproceedings{kalinsky_sigmod18,
        title = {{Efficient Exploration of Linked Data}},
        author = {Kalinsky, Oren},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3183719},
        url = {https://dl.acm.org/doi/10.1145/3183713.3183719},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

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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
1,699	Beyond Worst-case Analysis for Joins with Minesweeper	2014	PODS	9.975915e-05

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