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FQAS
2006
Springer
100views Database» more  FQAS 2006»
14 years 1 months ago
Highly Heterogeneous XML Collections: How to Retrieve Precise Results?
Abstract. Highly heterogeneous XML collections are thematic collections exploiting different structures: the parent-child or ancestor-descendant relationships are not preserved and...
Ismael Sanz, Marco Mesiti, Giovanna Guerrini, Rafa...
ICDE
2006
IEEE
196views Database» more  ICDE 2006»
14 years 11 months ago
Closure-Tree: An Index Structure for Graph Queries
Graphs have become popular for modeling structured data. As a result, graph queries are becoming common and graph indexing has come to play an essential role in query processing. ...
Huahai He, Ambuj K. Singh
SDM
2010
SIAM
183views Data Mining» more  SDM 2010»
13 years 11 months ago
GraSS: Graph Structure Summarization
Large graph databases are commonly collected and analyzed in numerous domains. For reasons related to either space efficiency or for privacy protection (e.g., in the case of socia...
Kristen LeFevre, Evimaria Terzi
FLOPS
2008
Springer
13 years 11 months ago
Formalizing a Constraint Deductive Database Language Based on Hereditary Harrop Formulas with Negation
In this paper, we present an extension of the scheme HH(C) (Hereditary Harrop formulas with Constraints) with a suitable formulation of negation in order to obtain a constraint ded...
Susana Nieva, Jaime Sánchez-Hernánde...
ER
2004
Springer
163views Database» more  ER 2004»
14 years 1 months ago
From Ontology to Relational Databases
The semantic web envisions a World Wide Web in which data is described with rich semantics and applications can pose complex queries. Ontologies, a cornerstone of the semantic web,...
Anuradha Gali, Cindy X. Chen, Kajal T. Claypool, R...