OWL2Vec: embedding of OWL ontologies
OWL2Vec: embedding of OWL ontologies
About this item
Full title
OWL2Vec: embedding of OWL ontologies
Author / Creator
Publisher
New York: Springer US
Journal title
Machine learning, 2021-07, Vol.110 (7), p.1813-1845
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
Semantic embedding of knowledge graphs has been widely studied and used for prediction and statistical analysis tasks across various domains such as Natural Language Processing and the Semantic Web. However, less attention has been paid to developing robust methods for embedding OWL (Web Ontology Language) ontologies, which contain richer semantic...
Alternative Titles
Full title
OWL2Vec: embedding of OWL ontologies
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2547167987
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2547167987
Other Identifiers
ISSN
0885-6125
E-ISSN
1573-0565
DOI
10.1007/s10994-021-05997-6
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