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 proceedingConference contribution

4 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 languageEnglish (US)
Title of host publicationProceedings - International Conference on Data Engineering
Pages1313-1316
Number of pages4
DOIs
StatePublished - 2012
EventIEEE 28th International Conference on Data Engineering, ICDE 2012 - Arlington, VA, United States
Duration: Apr 1 2012Apr 5 2012

Other

OtherIEEE 28th International Conference on Data Engineering, ICDE 2012
CountryUnited States
CityArlington, VA
Period4/1/124/5/12

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Software

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