Mitsubishi Electric’s AI Creates Knowledge Graphs from Text and Graphics to Visualize Information Relevance

Mitsubishi Electric Corporation (TOKYO: 6503) announced today that it has developed a technology based on its Maisart^®1 AI technology that automatically constructs knowledge graphs by acquiring key phrases, authors, citation relationships and whole-part relationships of elements in various materials, including figures and tables, and then visualizes the relevance of the information so that users can identify and understand the most necessary information quickly and intuitively. The new technology is expected to greatly reduce the amount of time users spend gathering information.

Conventionally, it can take much time to collect necessary information from the overload of information people are exposed to these days. Moreover, to quickly find necessary or interesting information, the information must not only be digitalized but also managed based on information relationships within or among the materials. Mitsubishi Electric’s new AI technology structurally digitalizes materials and data by extracting important information and estimating the interrelationships in advance. Thereafter, when users explore the information, they can grasp the strengths of relationships based on the varying widths of bands in diagrams (see figure above) to quickly and intuitively find necessary, interesting and even previously unnoticed information.

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