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37 Web Intelligence and Agent Systems: An International Journal 8 (2010) 37?51 DOI 10.3233/WIA-2010-0178 IOS Press Learning subsumption hierarchies of ontology concepts from texts Elias Zavitsanos
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01
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What is learning subsumption hierarchies of?
Learning subsumption hierarchies are a way of organizing and categorizing knowledge in a hierarchical structure, where higher-level concepts subsume lower-level concepts.
Who is required to file learning subsumption hierarchies of?
There is no specific requirement for individuals or organizations to file learning subsumption hierarchies. It is a concept and method used in the field of knowledge representation and artificial intelligence.
How to fill out learning subsumption hierarchies of?
Learning subsumption hierarchies are not filled out in the traditional sense. They are created by designing a hierarchical structure and organizing concepts within it based on their subsumption relationships.
What is the purpose of learning subsumption hierarchies of?
The purpose of learning subsumption hierarchies is to provide a framework for organizing and representing knowledge in a hierarchical manner, allowing for efficient retrieval and inference of information.
What information must be reported on learning subsumption hierarchies of?
There is no specific information that must be reported on learning subsumption hierarchies. The content of the hierarchies depends on the domain or subject matter being represented.
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