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BCMS Honours Topic: "Discovering disjointness for ontology."
In computer science, ontology refers to the knowledge-base that provides easy access for machines to make use of the knowledge, in place of text cleaner. Ontology can be useful in various applications of artificial intelligence.
Disjointness is one of the key aspects to maintain the consistency of the ontology. When learning knowledge from external sources,
disjointness prevents concepts from contradicting each other. The objective of this project is to establish methods that can automatically discover disjointness, from either an internal knowledge base or external resources.
My plan to achieve this objective includes using machine learning techniques to analyze knowledge bases, analyzing external
resources such as Wikipedia and existing ontologies, and extracting disjointness knowledge from plain text.