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» Supporting top-k join queries in relational databases
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SIGMOD
2008
ACM
122views Database» more  SIGMOD 2008»
15 years 10 months ago
Building query optimizers for information extraction: the SQoUT project
Text documents often embed data that is structured in nature. This structured data is increasingly exposed using information extraction systems, which generate structured relation...
Alpa Jain, Panagiotis G. Ipeirotis, Luis Gravano
HICSS
1996
IEEE
74views Biometrics» more  HICSS 1996»
15 years 1 months ago
Querying Structured Hyperdocuments
In this paper, we present a document model which integrates the logical structure and hypertext link structure of hyperdocuments in order to manage structured documents with hyper...
Yong Kyu Lee, Seong-Joon Yoo, Kyoungro Yoon, P. Br...
VLDB
2000
ACM
155views Database» more  VLDB 2000»
15 years 1 months ago
ICICLES: Self-Tuning Samples for Approximate Query Answering
Approximate query answering systems provide very fast alternatives to OLAP systems when applications are tolerant to small errors in query answers. Current sampling-based approach...
Venkatesh Ganti, Mong-Li Lee, Raghu Ramakrishnan
XSYM
2004
Springer
88views Database» more  XSYM 2004»
15 years 3 months ago
Teaching Relational Optimizers About XML Processing
Due to their numerous benefits, relational systems play a major role in storing XML documents. XML also benefits relational systems by providing a means to publish legacy relatio...
Sihem Amer-Yahia, Yannis Kotidis, Divesh Srivastav...
IDEAS
2007
IEEE
148views Database» more  IDEAS 2007»
15 years 4 months ago
Adaptive Execution of Stream Window Joins in a Limited Memory Environment
A sliding window join (SWJoin) is becoming an integral operation in every stream data management system. In some streaming applications the increasing volume of streamed data as w...
Fatima Farag, Moustafa A. Hammad