Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Systematization and Identification of Semantic Relations in Ontologies for Scientific and Technical Subject Areas

Systematization and Identification of Semantic Relations in Ontologies for Scientific and... This article presents a relations taxonomy constructed on the basis of a conceptual framework, as well as methods of identifying semantic relations that are used for automatically constructing ontologies of subject areas. A predicate lexicon that corresponds to relation types is established through automatically processing a collection of scientific and technical document texts. Patterns of linguistic constructions of semantic relations are constructed in a way that considers morphological features of words and morphemes. Statistics of types of relations and the use of patterns depending on the document type are studied. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Documentation and Mathematical Linguistics Springer Journals

Systematization and Identification of Semantic Relations in Ontologies for Scientific and Technical Subject Areas

Loading next page...
 
/lp/springer-journals/systematization-and-identification-of-semantic-relations-in-ontologies-XJgvswnYWH
Publisher
Springer Journals
Copyright
Copyright © 2018 by Allerton Press, Inc.
Subject
Computer Science; Information Storage and Retrieval
ISSN
0005-1055
eISSN
1934-8371
DOI
10.3103/S000510551806002X
Publisher site
See Article on Publisher Site

Abstract

This article presents a relations taxonomy constructed on the basis of a conceptual framework, as well as methods of identifying semantic relations that are used for automatically constructing ontologies of subject areas. A predicate lexicon that corresponds to relation types is established through automatically processing a collection of scientific and technical document texts. Patterns of linguistic constructions of semantic relations are constructed in a way that considers morphological features of words and morphemes. Statistics of types of relations and the use of patterns depending on the document type are studied.

Journal

Automatic Documentation and Mathematical LinguisticsSpringer Journals

Published: Feb 6, 2019

References