A match join of R and S with predicate theta is a subset of the theta join of R and S such that each tuple of R and S contributes to at most one result tuple. Match joins and their generalizations arise in many scenarios, including one that was our original motivation, assigning jobs to processors in the Condor distributed job scheduling system. We explore the use of RDBMS technology to compute match joins. We show that the simplest approach of computing the full theta join and then applying standard graph-matching algorithms to the result is ineffective for all but the smallest of problem instances. By contrast, a closer study shows that the DBMS primitives of grouping, sorting, and joining can be exploited to yield efficient match join op...
Join is the most important operator in relational databases, and remains the most expensive one desp...
Integrating relational database technologies into Web Information Retrieval enables users to ask com...
Keyword search in relational databases (RDBs) has been extensively studied recently. A keyword searc...
© 2017 ACM. To support analytics on massive graphs such as online social networks, RDF, Semantic Web...
Similarity joins have been studied as key operations in multiple application domains, e.g., record l...
Many database users rely on relational database management systems (RDBMSs) for the storage, retriev...
Record-level matching rules are chains of similarity join pred-icates on multiple attributes employe...
Matching elements of two data schemas or two data instances plays a key role in data warehousing, e-...
Most join algorithms can be extended to reduce wasted work when several tuples contain the same valu...
This dissertation studies the schema matching problem that finds semantic correspondences (called ma...
ABSTRACT Aims The wealth of data available in linked administrative datasets offers great potenti...
Object-oriented and object-relational DBMS support set-valued attributes, which are a natural and co...
Most join algorithms can be extended to reduce wasted work when several tuples contain the same valu...
Similarity joins are troublesome database operators that often produce results much larger than the ...
Set similarity join is an essential operation in data integration and big data analytics, that finds...
Join is the most important operator in relational databases, and remains the most expensive one desp...
Integrating relational database technologies into Web Information Retrieval enables users to ask com...
Keyword search in relational databases (RDBs) has been extensively studied recently. A keyword searc...
© 2017 ACM. To support analytics on massive graphs such as online social networks, RDF, Semantic Web...
Similarity joins have been studied as key operations in multiple application domains, e.g., record l...
Many database users rely on relational database management systems (RDBMSs) for the storage, retriev...
Record-level matching rules are chains of similarity join pred-icates on multiple attributes employe...
Matching elements of two data schemas or two data instances plays a key role in data warehousing, e-...
Most join algorithms can be extended to reduce wasted work when several tuples contain the same valu...
This dissertation studies the schema matching problem that finds semantic correspondences (called ma...
ABSTRACT Aims The wealth of data available in linked administrative datasets offers great potenti...
Object-oriented and object-relational DBMS support set-valued attributes, which are a natural and co...
Most join algorithms can be extended to reduce wasted work when several tuples contain the same valu...
Similarity joins are troublesome database operators that often produce results much larger than the ...
Set similarity join is an essential operation in data integration and big data analytics, that finds...
Join is the most important operator in relational databases, and remains the most expensive one desp...
Integrating relational database technologies into Web Information Retrieval enables users to ask com...
Keyword search in relational databases (RDBs) has been extensively studied recently. A keyword searc...