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» An ontology for bioinformatics applications
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PADL
2009
Springer
15 years 11 months ago
Using Bloom Filters for Large Scale Gene Sequence Analysis in Haskell
Analysis of biological data often involves large data sets and computationally expensive algorithms. Databases of biological data continue to grow, leading to an increasing demand ...
Ketil Malde, Bryan O'Sullivan
ISBRA
2007
Springer
15 years 5 months ago
Discovering Relations Among GO-Annotated Clusters by Graph Kernel Methods
The biological interpretation of large-scale gene expression data is one of the challenges in current bioinformatics. The state-of-theart approach is to perform clustering and then...
Italo Zoppis, Daniele Merico, Marco Antoniotti, Bu...
GEOS
2007
Springer
15 years 5 months ago
The Gravity Data Ontology: Laying the Foundation for Workflow-Driven Ontologies
Abstract. A workflow-driven ontology is an ontology that encodes disciplinespecific knowledge in the form of concepts and relationships and that facilitates the composition of serv...
Ann Q. Gates, G. Randy Keller, Leonardo Salayandia...
EON
2003
15 years 16 days ago
Results of Taxonomic Evaluation of RDF(S) and DAML+OIL ontologies using RDF(S) and DAML+OIL Validation Tools and Ontology Platfo
Before using RDF(S) and DAML+OIL ontologies in Semantic Web applications, its content should be evaluated from a knowledge representation point of view. In recent years, some RDF(S...
María del Carmen Suárez-Figueroa, As...
GISCIENCE
2004
Springer
121views GIS» more  GISCIENCE 2004»
15 years 4 months ago
Semi-automatic Ontology Alignment for Geospatial Data Integration
In geospatial applications with heterogeneous databases, an ontology-driven approach to data integration relies on the alignment of the concepts of a global ontology that describe ...
Isabel F. Cruz, William Sunna, Anjli Chaudhry