An automated method for constructing ontology
Yang Shu, Yao Hai Lun, You Xiang Run, Ye Wang · 2016
This paper proposed an automated method for ontology construction. The techniques used include machine learning and NLP (Natural Language Processing). These techniques are used to construct more accurate ontologies that represented as XML format. Firstly, Naïve Bayes classification algorithms is used to text categorization which determined what kind of label a document is assigned. Secondly, SVM algorithm is used to calculate document similarity to cluster similar documents that we imported. Thirdly, Luhn's summarization algorithm is employed in order to shorten the text and kept important essential terms for making the domain ontology. Finally, XML format is used to represent a domain ontology, which has the function of describing term's meaning and their lexical relationships. Additional The method developed by Python programming language and Natural Language Toolkit.