Construction of Domain Knowledge Ontology Map Based on Concept Learning of Neural Networks
Download as PDF
DOI: 10.23977/icmmct.2019.62131
Author(s)
Pang Chao, Wu Han
Corresponding Author
Pang Chao
ABSTRACT
In order to improve performance enhancement for spectrum construction algorithm of domain knowledge ontology, a construction method for spectrum of domain knowledge ontology based on concept study of self-organizing neural network shall be proposed. Firstly, according to structure model for domain ontology graph, frame of ontology learning shall be set up. Then relation mapping for knowledge term-term shall be established; secondly, model for self-organizing neural network shall be adopted for construction of fuzzy clustering method to realize sorting algorithm for KLSeeker knowledge ontology of dichotomy relation. Semi-supervised learning of ontology graph shall be realized based on concept clustering to decrease human intervention; finally, effectiveness of algorithm can be verified through experiment analysis.
KEYWORDS
Self-organizing neural network, Concept learning, Knowledge ontology, Clustering analysis