A method for automatic construction of ontological knowledge bases. II: Automatic identification of semantic relations in ontological networks. (English. Russian original) Zbl 1346.68195
Cybern. Syst. Anal. 52, No. 2, 199-205 (2016); translation from Kibern. Sist. Anal. 2016, No. 2, 30-36 (2016).
Summary: A semantic-syntactic model of natural language is presented. After the factorization of constructed tensors of the model, vectors representing the semantic-syntactic valence of words and describing the commutative behavior of words in a sentence are generated. A method is developed for computing vectors of the semantic-syntactic valence of concepts in an ontology that form an implicit description of their semantic relations. An algorithm is proposed for extracting explicit semantic relations between ontological concepts from vectors of their semantic-syntactic valence.
For Part I see [the author, Cybern. Syst. Anal. 52, No. 1, 20–29 (2016); translation from Kibern. Sist. Anal. 2016, No. 1, 23–33 (2016; Zbl 1337.68247)].
For Part I see [the author, Cybern. Syst. Anal. 52, No. 1, 20–29 (2016); translation from Kibern. Sist. Anal. 2016, No. 1, 23–33 (2016; Zbl 1337.68247)].
Keywords:
automatic knowledge extraction; corpus linguistics; ontology; nonnegative tensor factorizationCitations:
Zbl 1337.68247Software:
WordNetReferences:
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