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Refrence Ontology - Coggle Diagram
Refrence Ontology
Challenges
Maintenance:Keeping the ontology upto-date
Scalability:Accomodationg a growing volume of data
Concequences:Achieving among stake holders on Ontology design
Applicaations
Biomedical Research:Supports data integration and knowledge sharing
Information Retrieval:Enhances search-engine understanding
Artificial Intelligence:Supports data integration and knowledge sharing
Future Trends
Machine learning integration:Combine ML techniques with ontologies
Interdisciplinary Ontologiea:Building multiple domains
Ontology Evolution; Efficiently Updating and evading ontologies
Exmaples
Gene Ontology:Used in Biology to describe gene functions
FOAF Ontology:For describing social describing social relationships on the web
Snomed CT:Clinical terminology ontology used in healthcare
Benifits
Consistency: Ensures a standarlized representation of knowledge
InteroperabilityEnables seamless data exchange across systems:
SEmantic clarity:Define concepts and relationship cleanly
Components of reference ontology:
Concepts fundamental ideas on entities represented
Relations:connections and associates between concepts
Attributes:properties on characterstics of concepts
purpose of refrence ontology
Data integuration:Facilites data interoperability and integration
knowledge representation:Capture and organisation of knowledge
Types of reference ontology
Domain Specific:Specific fields(e.g.-Biology, finance)
General purpose:Designed upon broad applicability across domains