Ontology learning from text: Method for learning axioms

作者: Ivan Lopez-Arevalo , Ana Rios-Alvarado

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摘要: Ontologies provide a structural organizational knowledge, they support the exchange and sharing of information. Moreover, one main benefits using ontologies is ability to infer new knowledge that allows development more realistic applications. The need for overcoming bottleneck, given in acquisition by manual construction ontologies, has motivated studies on semi-automatic automatic methods build ontologies. One sources created humans text resources. analysis extraction elements an ontology from texts very hard task. In this report we focus present method learning axioms based named entity recognition. our proposal exploit corpora with high occurrence entities give information individuals specific domain expressed corpus. Given set identified axiomatic relations such as subClassOf, disjointWith, equivalentClass were identified. For purpose recognition tool was used linguistic context, where classes co-occur, extracted. This activities corresponds thrid year doctoral studies.

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