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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

Harvard

Lande, DV, Snarskii, AA, Yagunova, EV, Pronoza, EV & Volskaya, S 2015, Network of Natural Terms Hierarchy as a Lightweight Ontology. in IEEE Proceedings of the 13th Mexican International Conference on Artificial Intelligence. MICAI 2014. Institute of Electrical and Electronics Engineers Inc., pp. 16-23. https://doi.org/10.1109/MICAI.2014.9

APA

Lande, D. V., Snarskii, A. A., Yagunova, E. V., Pronoza, E. V., & Volskaya, S. (2015). Network of Natural Terms Hierarchy as a Lightweight Ontology. In IEEE Proceedings of the 13th Mexican International Conference on Artificial Intelligence. MICAI 2014 (pp. 16-23). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MICAI.2014.9

Vancouver

Lande DV, Snarskii AA, Yagunova EV, Pronoza EV, Volskaya S. Network of Natural Terms Hierarchy as a Lightweight Ontology. In IEEE Proceedings of the 13th Mexican International Conference on Artificial Intelligence. MICAI 2014. Institute of Electrical and Electronics Engineers Inc. 2015. p. 16-23 https://doi.org/10.1109/MICAI.2014.9

Author

Lande, D.V. ; Snarskii, A.A. ; Yagunova, E.V. ; Pronoza, E.V. ; Volskaya, S. / Network of Natural Terms Hierarchy as a Lightweight Ontology. IEEE Proceedings of the 13th Mexican International Conference on Artificial Intelligence. MICAI 2014. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 16-23

BibTeX

@inproceedings{e703e6177acb4c4e9746919c783206e3,
title = "Network of Natural Terms Hierarchy as a Lightweight Ontology",
abstract = "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.",
keywords = "compactified horizontal visibility graphlanguage networkscientific trendterm hierarchy",
author = "D.V. Lande and A.A. Snarskii and E.V. Yagunova and E.V. Pronoza and S. Volskaya",
year = "2015",
doi = "10.1109/MICAI.2014.9",
language = "English",
isbn = "978-1-4673-7010-3 Online ISBN: 978-3-319-11397-5",
pages = "16--23",
booktitle = "IEEE Proceedings of the 13th Mexican International Conference on Artificial Intelligence. MICAI 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

RIS

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