Dmitry Lande, Andrey Snarskii, Elena Yagunova, Ekaterina Pronoza, Svetlana Volskaya

Network of Natural Terms Hierarchy as a Lightweight Ontology

// Thirteenth Mexican International Conference on Artificial Intelligence MICAI 2014 - P. 16-23.

 

This paper describes the construction methodology of a network of natural terms hierarchy based on the analysis of a homogeneous or heterogene-ous 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 pro-ceedings.

Keywords: language network, compactified horizontal visibility graph, term hierarchy, scientific trend.

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