TY - GEN
T1 - RDF aggregate queries and views
AU - Hung, Edward
AU - Deng, Yu
AU - Subrahmanian, V. S.
PY - 2005
Y1 - 2005
N2 - Resource Description Framework (RDF) is a rapidly expanding web standard. RDF databases attempt to track the massive amounts of web data and services available. In this paper, we study the problem of aggregate queries. We develop an algorithm to compute answers to aggregate queries over RDF databases and algorithms to maintain views involving those aggregates. Though RDF data can be stored in a standard relational DBMS (and hence we can execute standard relational aggregate queries and view maintenance methods on them), we show experimentally that our algorithms that operate directly on the RDF representation exhibit significantly superior performance.
AB - Resource Description Framework (RDF) is a rapidly expanding web standard. RDF databases attempt to track the massive amounts of web data and services available. In this paper, we study the problem of aggregate queries. We develop an algorithm to compute answers to aggregate queries over RDF databases and algorithms to maintain views involving those aggregates. Though RDF data can be stored in a standard relational DBMS (and hence we can execute standard relational aggregate queries and view maintenance methods on them), we show experimentally that our algorithms that operate directly on the RDF representation exhibit significantly superior performance.
UR - http://www.scopus.com/inward/record.url?scp=28444456288&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=28444456288&partnerID=8YFLogxK
U2 - 10.1109/ICDE.2005.121
DO - 10.1109/ICDE.2005.121
M3 - Conference contribution
AN - SCOPUS:28444456288
SN - 0769522858
T3 - Proceedings - International Conference on Data Engineering
SP - 717
EP - 728
BT - Proceedings - 21st International Conference on Data Engineering, ICDE 2005
T2 - 21st International Conference on Data Engineering, ICDE 2005
Y2 - 5 April 2005 through 8 April 2005
ER -