The Semantic Metadatabase (SEMEDA): Ontology Based Integration of Federated Molecular Biological Data Sources.
Jacob KöhlerSteffen Schulze-KremerPublished in: German Conference on Bioinformatics (2001)
Keyphrases
- data sources
- heterogeneous data sources
- data integration
- biological data
- information integration
- semantically heterogeneous
- semantic integration
- semantic heterogeneity
- semantic matching
- ontology alignment
- semantic relationships
- integrating heterogeneous
- domain ontology
- semantic web technologies
- databases
- distributed data sources
- distributed heterogeneous
- data model
- ontology mapping
- drug discovery
- information sources
- data warehouse
- heterogeneous information systems
- molecular level
- molecular biology
- heterogeneous data
- semantic web
- natural language
- ontology based semantic
- protein structure prediction
- heterogeneous sources
- data sets
- domain specific
- analysis of gene expression data
- living cells
- biological processes
- semantic information
- semantic annotation
- drug design
- data repositories
- systems biology
- protein protein
- gene regulatory networks
- protein protein interactions
- biological systems
- interaction networks
- cell biology
- gene expression analysis
- deep web