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)
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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 |
|---|---|---|---|---|
| 152 | An Evaluation of Non-Equijoin Algorithms | 1991 | VLDB | 0.00040963225 |
| 157 | HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads | 2009 | VLDB | 0.00040397359 |
| 582 | Scalable SPARQL Querying of Large RDF Graphs | 2011 | VLDB | 0.00019723083 |
| 759 | To Search or to Crawl? Towards a Query Optimizer for Text-Centric Tasks | 2006 | SIGMOD | 0.00017064615 |
| 794 | Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing) | 2010 | VLDB | 0.00016605103 |
| 1,001 | Recovering Semantics of Tables on the Web | 2011 | VLDB | 0.00014706505 |
| 2,488 | Shark: Fast Data Analysis Using Coarse-grained Distributed Memory | 2012 | SIGMOD | 8.6683713e-05 |
| 3,487 | Longitudinal Analytics on Web Archive Data: It's About Time! | 2011 | CIDR | 7.0480733e-05 |
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