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D-Hive: Data Bees Pollinating RDF, Text, and Time

Summary: D-Hive: system for analytics over RDF (SPO) triples augmented with text and validity/transaction time, enabling entity/relationship-aware search on large web and social corpora. Key innovations: scalable joint indexing of SPO–text–time tuples and optimized processing for RDF star/path joins, text filtering/grouping, and time-band joins. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
210
Venue
CIDR
Year
2013
Pagerank
5.093636e-05
Overall Rank
12,225 | 16.13%
DOI
-

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BibTeX Citation

@inproceedings{bedathur_cidr13,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '13},
        title = {{D-Hive: Data Bees Pollinating RDF, Text, and Time}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Bedathur, Srikanta and Berberich, Klaus and Patlakas, Ioannis and Triantafillou, Peter and Weikum, Gerhard},
        year = {2013}
}

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