Using SNOMED semantic concept groupings to enhance semantic-type assignment consistency in the UMLS.
Duo Helen WeiMichael HalperGai ElhananPublished in: IHI (2012)
Keyphrases
- semantic concepts
- multi modal
- semantic similarity
- low level features
- semantic information
- visual features
- low level
- semantic gap
- visual content
- semantic network
- image annotation
- video analysis
- semantic video
- multimedia data
- visual concepts
- semantic concept detection
- multimedia content
- umls metathesaurus
- text documents
- image collections
- higher level
- co occurrence
- concept detection
- high level
- machine learning
- domain ontology
- contextual information
- image representation
- information extraction
- active learning
- natural language
- keywords
- multimedia
- information retrieval