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» Querying Complex Structured Databases
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163
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BMCBI
2011
14 years 9 months ago
Logical Development of the Cell Ontology
Background: The Cell Ontology (CL) is an ontology for the representation of in vivo cell types. As biological ontologies such as the CL grow in complexity, they become increasingl...
Terrence F. Meehan, Anna Maria Masci, Amina Abdull...
121
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FQAS
2006
Springer
100views Database» more  FQAS 2006»
15 years 6 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...
137
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SPIESR
2003
129views Database» more  SPIESR 2003»
15 years 4 months ago
Visual interfaces for a semantic content-based image retrieval system
In an earlier study a Semantic Content Based Image Retrieval system was developed. The system requires a Visual Object Process Diagram - VOPD to be created for each image in the d...
Hagit Zabrodsky Hel-Or, Dov Dori
209
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GIS
2007
ACM
16 years 3 months ago
TS2-tree - an efficient similarity based organization for trajectory data
The increasingly popular GPS technology and the growing amount of trajectory data it generates create the need for developing applications that efficiently store and query traject...
Petko Bakalov, Eamonn J. Keogh, Vassilis J. Tsotra...
SIGIR
1998
ACM
15 years 2 months ago
Exploring the Similarity Space
Ranked queries are used to locate relevant documents in text databases. In a ranked query a list of terms is specified, then the documents that most closely match the query are re...
Justin Zobel, Alistair Moffat