Rule-based knowledge aggregation for large-scale protein sequence analysis of influenza A viruses

Keyphrases

• Public Database 100%
• Knowledge Aggregation 100%
• Structural Rules 100%
• Influenza Virus 100%
• Protein Sequence Analysis 100%
• Rule-based 100%
• Inconsistency 66%
• Semantic Rules 66%
• Quality Issues 66%
• Influenza A 66%
• Property Values 66%
• Semantic Heterogeneity 66%
• Comparative Analysis 33%
• Statistical Analysis 33%
• Biological Data 33%
• Protein Sequence 33%
• Biological Databases 33%
• Explosive Growth 33%
• GenBank 33%
• Over 40 33%
• Geographical Origin 33%
• Semantic Technologies 33%
• Value Correction 33%
• Simple Sets 33%
• Manual Correction 33%
• Reasoner 33%
• Manual Curation 33%
• Yield Value 33%
• Embedded Intelligence 33%
• Virus Subtypes 33%
• Semantic Annotation 33%
• Combined Information 33%
• Ontology 33%
• Metadata Quality 33%
• Quality Differences 33%
• Intuitive Approach 33%
• Extraction Approach 33%
• Sequence Annotation 33%
• Simple Rules 33%
• User Control 33%
• Life Scientists 33%
• Automated Metadata Extraction 33%
• Curation 33%

Computer Science

• Semantic Heterogeneity 100%
• Structural Rule 100%
• Annotation 50%
• Comparative Analysis 50%
• Information Set 50%
• Semantic Technology 50%
• Ontology 50%
• Metadata Extraction 50%
• Semantic Annotation 50%