3store: Efficient Bulk RDF Storage
By S. Harris, Nicholas Gibbins. Practical and Scalable Semantic Systems, 2003
356 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/a2608eb28f9834f8ac374bc6e36a5899674658b5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Michael Schmidt
- Daniel J. Abadi
- Adam Marcus
- Cathrin Weiss
- Samuel Madden
- Jiewen Huang
- Thomas Hornung
- Panagiotis Karras
Citations in the corpus
- Querying Distributed RDF Data Sources with SPARQL (2008, unknown): “[11, 12].”
- Hexastore: sextuple indexing for semantic web data management (2008, methodology): “Thus, significant efforts have been dedicated to the development of architectures for storing and querying RDF data, called triple stores [8] [9] [11] [17] [25] [26] [46] [19] [45] [39] [44].”
- SP^2Bench: A SPARQL Performance Benchmark (2008, background): “These approaches comprise a wide range of optimization techniques, including normal forms [ 4], graph pattern reordering based on selectivity estimations [5] (similar to relational join reordering), syntactic rewrit ing [6], specialized indices [7], [8] and storage schemes [9], [10], [11], [12], [13”
- Scalable Semantic Web Data Management Using Vertical Partitioning (2007, background): “Although there have been non-relational DBMS proposals for storing RDF data [20], the majority of RDF data storage solutions use relational DBMSs, such as Jena [32], Oracle[22], Sesame [21], and 3store [26].”
- Scalable SPARQL querying of large RDF graphs (2011, background): “This started with early work on Sesame [9], Jena [33], 3store [18], and Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear…”
- SW-Store: a vertically partitioned DBMS for Semantic Web data management (2009, methodology): “We focus on using a relational query processor to execute RDF queries, as we (and several other research groups [18,19,24,32,54]) feel that this is likely to be the best performing approach.”