R 
            2DB: A system for querying and visualizing weighted RDF graphs

Songling Liu; Juan P. Cedeno; Kasim Candan; Maria Luisa Sapino; Shengyu Huang; Xinsheng Li

doi:10.1109/ICDE.2012.134

R ²DB: A system for querying and visualizing weighted RDF graphs

Songling Liu, Juan P. Cedeno, Kasim Candan, Maria Luisa Sapino, Shengyu Huang, Xinsheng Li

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

Existing RDF query languages and RDF stores fail to support a large class of knowledge applications which associate utilities or costs on the available knowledge statements. A recent proposal includes (a) a ranked RDF (R2DF) specification to enhance RDF triples with an application specific weights and (b) a SPA Rank QL query language specification, which provides novel primitives on top of the SPARQL language to express top-k queries using traditional query patterns as well as novel flexible path predicates. We introduce and demonstrate R ²DB, a database system for querying weighted RDF graphs. R ²DB relies on the AR2Q query processing engine, which leverages novel index structures to support efficient ranked path search and includes query optimization strategies based on proximity and sub-result inter-arrival times. In addition to being the first data management system for the R2DF data model, R ²DB also provides an innovative features-of-interest (FoI) based method for visualizing large sets of query results (i.e., sub graphs of the data graph).

Original language	English (US)
Title of host publication	Proceedings - International Conference on Data Engineering
Pages	1313-1316
Number of pages	4
DOIs	https://doi.org/10.1109/ICDE.2012.134
State	Published - 2012
Event	IEEE 28th International Conference on Data Engineering, ICDE 2012 - Arlington, VA, United States Duration: Apr 1 2012 → Apr 5 2012

Other

Other	IEEE 28th International Conference on Data Engineering, ICDE 2012
Country/Territory	United States
City	Arlington, VA
Period	4/1/12 → 4/5/12

ASJC Scopus subject areas

Information Systems
Signal Processing
Software

Access to Document

10.1109/ICDE.2012.134

Cite this

Liu, S, Cedeno, JP, Candan, K, Sapino, ML, Huang, S & Li, X 2012, R ²DB: A system for querying and visualizing weighted RDF graphs. in Proceedings - International Conference on Data Engineering., 6228196, pp. 1313-1316, IEEE 28th International Conference on Data Engineering, ICDE 2012, Arlington, VA, United States, 4/1/12. https://doi.org/10.1109/ICDE.2012.134

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abstract = "Existing RDF query languages and RDF stores fail to support a large class of knowledge applications which associate utilities or costs on the available knowledge statements. A recent proposal includes (a) a ranked RDF (R2DF) specification to enhance RDF triples with an application specific weights and (b) a SPA Rank QL query language specification, which provides novel primitives on top of the SPARQL language to express top-k queries using traditional query patterns as well as novel flexible path predicates. We introduce and demonstrate R 2DB, a database system for querying weighted RDF graphs. R 2DB relies on the AR2Q query processing engine, which leverages novel index structures to support efficient ranked path search and includes query optimization strategies based on proximity and sub-result inter-arrival times. In addition to being the first data management system for the R2DF data model, R 2DB also provides an innovative features-of-interest (FoI) based method for visualizing large sets of query results (i.e., sub graphs of the data graph).",

author = "Songling Liu and Cedeno, {Juan P.} and Kasim Candan and Sapino, {Maria Luisa} and Shengyu Huang and Xinsheng Li",

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