Multilingual Semantic Cyberspace of Scientific Papers Based on WebVR Technology
Michael Charnine, Konstantin Kuznetsov, Олег Золотарев · 2018
In this paper we describe a cyberspace of scientific papers in which the most cited and significant documents are represented by large spheres. The distance between documents is proportional to their semantic similarity regardless of language. The measure of semantic similarity of multilingual documents is proposed. This measure is determined by the maximum correlation between explicit and implicit connectivity of the documents. The cyberspace is built entirely automatically from collection of texts using methods: t-SNE, SCCI and A-Frame. The proposed cyberspace implemented by WebVR and interactive 3D graphics can be considered as a dynamic learning environment that is convenient for discovering new significant articles, ideas and trends. The cyberspace is a powerful tool of information integration and it allows you to visualize documents of different languages in a single space.