SeeQR
Structural indexing and EfficiEnt Query processing on massive RDF data sets
Overview
The information deluge is becoming a general problem nowadays. Since the Resouce Description Framework (RDF) is the de facto standard data model for publishing and exchanging information on the web, RDF data management turns into an essential part of this big picture. The goal of SEEQR project is to investigate the potential of introducing structural information to RDF data management systems, handling massive RDF data sets.
Members
Yongming Luo (lead researcher),
George Fletcher (PI),
Jan Hidders (co-PI),
Paul De Bra (promoter),
Geert-Jan Houben (consultant)
Collaborators
Publications
On guarded simulations and acyclic first-order languages. George Fletcher, Jan Hidders, Stijn Vansummeren, Yongming Luo, Francois Picalausa, and Paul De Bra. DBPL 2011, Seattle, US. [BibTex]
A Structural Approach to Indexing Triples. Francois Picalausa, Yongming Luo, George H. L. Fletcher, Jan Hidders and Stijn Vansummeren. ESWC 2012, Heraklion, GR. LNCS 7295, pp. 406–421, 2012, Springer-Verlag Berlin Heidelberg. [BibTex]
Storing and indexing massive rdf datasets. Yongming Luo, Francois Picalausa, George H. L. Fletcher, Jan Hidders and Stijn Vansummeren. In: De Virgilio, R., et al. (eds.) Semantic Search over the Web, Data-Centric Systems and Applications, pp. 29–58. Springer, Heidelberg (2012). [BibTex]
Code
TBD
Links
