TY - GEN
T1 - An evolutionary perspective on approximate RDF query answering
AU - Guéret, Christophe
AU - Oren, Eyal
AU - Schlobach, Stefan
AU - Schut, Martijn
PY - 2008
Y1 - 2008
N2 - RDF is increasingly being used to represent large amounts of data on the Web. Current query evaluation strategies for RDF are inspired by databases, assuming perfect answers on finite repositories. In this paper, we focus on a query method based on evolutionary computing, which allows us to handle uncertainty, incompleteness and unsatisfiability, and deal with large datasets, all within a single conceptual framework. Our technique supports approximate answers with "anytime" behaviour. We present scalability results and next steps for improvement. © 2008 Springer-Verlag.
AB - RDF is increasingly being used to represent large amounts of data on the Web. Current query evaluation strategies for RDF are inspired by databases, assuming perfect answers on finite repositories. In this paper, we focus on a query method based on evolutionary computing, which allows us to handle uncertainty, incompleteness and unsatisfiability, and deal with large datasets, all within a single conceptual framework. Our technique supports approximate answers with "anytime" behaviour. We present scalability results and next steps for improvement. © 2008 Springer-Verlag.
UR - https://www.scopus.com/pages/publications/77049125542
UR - https://www.ncbi.nlm.nih.gov/pubmed/37313300
U2 - 10.1007/978-3-540-87993-0_18
DO - 10.1007/978-3-540-87993-0_18
M3 - Conference contribution
C2 - 37313300
VL - 5291 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 215
EP - 228
BT - Scalable Uncertainty Management - Second International Conference, SUM 2008, Proceedings
T2 - 2nd International Conference on Scalable Uncertainty Management, SUM 2008
Y2 - 1 October 2008 through 3 October 2008
ER -