Associative learning of concepts
Abstract
Humans find it extremely easy to say if two words are related or if one word is more related to a given word than another one. For example, if we come across two words - 'car' and 'bicycle', we know they are related since both are means of transport. Also, we easily observe that 'bicycle' is more related to 'car' than 'fork' is. In the paper we describe our approach on quantifying the semantic relatedness of concepts based on the theory of associative learning of concepts.
Keywords
semantic surrounding, associative learning, concept similarity, grammar, relatedness,References
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[4] R. Kende. Ontology Enabled Information Retrieval, Dissertation Thesis. University of Technology in Kosice, Slovakia, 2006.
[5] G.N. Lance, W.T. Williams. A general theory of classificatory sorting strategies, 1. Hierarchical systems. Computer Journal, 9: 373-380, 1967.
Published
Aug 17, 2022
How to Cite
ROCKAI, Viliam; KENDE, Robert.
Associative learning of concepts.
Computer Assisted Methods in Engineering and Science, [S.l.], v. 14, n. 4, p. 737-743, aug. 2022.
ISSN 2956-5839.
Available at: <https://cames.ippt.gov.pl/index.php/cames/article/view/808>. Date accessed: 23 dec. 2024.
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Articles