Title
Using transversals for discovering XML functional dependencies
Abstract
Dependency discovery is an important technique for relational database design due to numerous applications like normalisation and query optimisation. Similar applications are likely to exist in the context of XML. To date, there are few investigations into dependency discovery in the context of XML. We propose a transversal approach for discovering a class of subgraph-based XML functional dependencies with pre-image semantics (XFDs). We cover all aspects of the discovery process, from determining agree sets to the extraction of an XFD cover. An inherent challenge is the large and complex search space of valid XFDs due to the tree-structure of XML data.
Year
DOI
Venue
2008
10.1007/978-3-540-77684-0_15
FoIKS
Keywords
Field
DocType
complex search space,dependency discovery,valid xfds,numerous application,xml data,pre-image semantics,discovery process,inherent challenge,subgraph-based xml functional dependency,important technique,relational database,tree structure,search space,functional dependency
Data mining,Information retrieval,XML,Computer science,XML validation,Document Structure Description,XML database,Theoretical computer science,Functional dependency,XML schema,Relational model,Business process discovery
Conference
Volume
ISSN
ISBN
4932
0302-9743
3-540-77683-4
Citations 
PageRank 
References 
8
0.49
13
Authors
1
Name
Order
Citations
PageRank
Thu Trinh1865.51