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» Optimizing Large OODB Queries
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ICDE
2005
IEEE
103views Database» more  ICDE 2005»
14 years 9 months ago
Vectorizing and Querying Large XML Repositories
Vertical partitioning is a well-known technique for optimizing query performance in relational databases. An extreme form of this technique, which we call vectorization, is to sto...
Peter Buneman, Byron Choi, Wenfei Fan, Robert Hutc...
SIGMOD
2012
ACM
203views Database» more  SIGMOD 2012»
11 years 10 months ago
Optimizing index for taxonomy keyword search
Query substitution is an important problem in information retrieval. Much work focuses on how to find substitutes for any given query. In this paper, we study how to efficiently ...
Bolin Ding, Haixun Wang, Ruoming Jin, Jiawei Han, ...
DEXAW
2007
IEEE
141views Database» more  DEXAW 2007»
14 years 2 months ago
SWARD: Semantic Web Abridged Relational Databases
The semantic web represents meta-data as a relation of triples using the RDF data model. We have developed a virtual repository system that enables to process queries to RDF views...
Johan Petrini, Tore Risch
CORR
2011
Springer
143views Education» more  CORR 2011»
13 years 2 months ago
CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads
Index tuning, i.e., selecting the indexes appropriate for a workload, is a crucial problem in database system tuning. In this paper, we solve index tuning for large problem instan...
Debabrata Dash, Neoklis Polyzotis, Anastasia Ailam...
VLDB
1995
ACM
96views Database» more  VLDB 1995»
13 years 11 months ago
The Fittest Survives: An Adaptive Approach to Query Optimization
Traditionally, optimizers are “programmed” to optimize queries following a set of buildin procedures. However, optimizers should be robust to its changing environment to gener...
Hongjun Lu, Kian-Lee Tan, Son Dao