Network of Natural Terms Hierarchy as a Lightweight Ontology

Links

http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7222492

DOI

https://doi.org/10.1109/MICAI.2014.9
Other version

D.V. Lande
A.A. Snarskii
E.V. Yagunova
E.V. Pronoza
S. Volskaya

This paper describes the construction methodology of a network of natural terms hierarchy based on the analysis of a homogeneous or heterogeneous text corpus. It also presents a criterion for the evaluation of paper relevance to a particular scientific conference. The proposed method is illustrated by the examples from the heterogeneous corpus of the STIDS 2013 conference proceedings.

Original language	English
Title of host publication	IEEE Proceedings of the 13th Mexican International Conference on Artificial Intelligence. MICAI 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	16-23
ISBN (Print)	978-1-4673-7010-3 Online ISBN: 978-3-319-11397-5
DOIs	https://doi.org/10.1109/MICAI.2014.9
State	Published - 2015

Research areas

compactified horizontal visibility graphlanguage networkscientific trendterm hierarchy

ID: 4746935