Hybrid fuzzy multi-objective particle swarm optimization for taxonomy extraction
Ontology learning refers to an automatic extraction of ontology to produce the ontology learning layer cake which consists of five kinds of output: terms, concepts, taxonomy relations, non-taxonomy relations and axioms. Term extraction is a prerequisite for all aspects of ontology learning. It is th...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2015
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| Online Access: | http://eprints.utm.my/id/eprint/78211/1/MohammadSyafrullahPFC2015.pdf |
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