Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research
Network of Natural Terms Hierarchy as a Lightweight Ontology. / Lande, D.V.; Snarskii, A.A.; Yagunova, E.V.; Pronoza, E.V.; Volskaya, S.
IEEE Proceedings of the 13th Mexican International Conference on Artificial Intelligence. MICAI 2014. Institute of Electrical and Electronics Engineers Inc., 2015. p. 16-23.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research
}
TY - GEN
T1 - Network of Natural Terms Hierarchy as a Lightweight Ontology
AU - Lande, D.V.
AU - Snarskii, A.A.
AU - Yagunova, E.V.
AU - Pronoza, E.V.
AU - Volskaya, S.
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - compactified horizontal visibility graphlanguage networkscientific trendterm hierarchy
U2 - 10.1109/MICAI.2014.9
DO - 10.1109/MICAI.2014.9
M3 - Conference contribution
SN - 978-1-4673-7010-3 Online ISBN: 978-3-319-11397-5
SP - 16
EP - 23
BT - IEEE Proceedings of the 13th Mexican International Conference on Artificial Intelligence. MICAI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -
ID: 4746935