we integrate gene and pathway information and show how three complex biological queries can be answered by the integrated knowledge base.
This paper illustrates how Semantic Web technologies (especially RDF
Semantic Web and SPARQL and Gene Ontology and Entrez Gene and path queries. and Data integration and Resource DescriptionFramework
Semantic Web and Knowledge Exploration
Semantic Associations and Background Knowledge and Semantic Predications and Subgraph Creation and Swanson'
s Hypothesis and Literature-Based Discovery (LBD)
Provenir ontology and Provenance context entity and Biomedical knowledge repository and Context theory and RDF reification
Provenance Management Framework
Provenance context entity
Multi-ontology schema integration
Model theoretic semantics
Medical Subject Headings (MeSH)
Literature-based discovery (LBD)
Hierarchical agglomerative clustering
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