SW-Store: a vertically partitioned DBMS for Semantic Web data management

By Daniel J. Abadi, Adam Marcus, Samuel Madden, Katherine J. Hollenbach. The VLDB journal, 2009

361 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/2fb5c011eba5982714b40cc28dfaeb8f169d755e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Bin Shao
2. Haixun Wang
3. Dongyan Zhao
4. Lei Zou
5. Olaf Hartig
6. M. Tamer Özsu
7. Kai Zeng
8. Zhongyuan Wang

In Computer Networks and Communications

1. Dongyan Zhao
2. Lei Zou
3. Bin Shao
4. Olaf Hartig
5. M. Tamer Özsu
6. Kai Zeng
7. Haixun Wang
8. Zhongyuan Wang

In Information Systems

1. Bin Shao
2. Olaf Hartig
3. M. Tamer Özsu
4. Haixun Wang
5. Zhongyuan Wang
6. Khuzaima S. Daudjee
7. Günes Aluç

Citations in the corpus

• gStore: Answering SPARQL Queries via Subgraph Matching (2011, methodology): “In this section, we evaluate our method over two real large RDF datasets, and compare it with SW-store [1], RDF-3x [12], and x-RDF-3x [15].”
• A Distributed Graph Engine for Web Scale RDF Data (2013, background): “Tremendous efforts have been devoted to building high performance RDF management systems [12, 36, 14, 5, 35, 27, 26, 8, 7, 17].”
• Diversified Stress Testing of RDF Data Management Systems (2014, background): “Hence, a second option is to group data by RDF predicates, where data are explicitly partitioned into multiple tables (one table per predicate) and the tables are stored in a column-store [1].”