Development of text analysis technologies that can be linked to non-text data

Presto Researcher

Yusuke Miyao

Research Organization of Information and Systems
Associate Professor

Research Outline

This research aims to develop a technology for the integrated semantic analysis of text and non-text data such as sensor data and social data, by linking non-text data to its interpretation expressed as texts. This technology enables us, for example, to automatically textualize the interpretation of big data, to validate textual knowledge by grouding it into real-world non-text data, as well as to apply semantic inference to integrated text and non-text data. This research is expected to significantly increase the efficiency of big data analysis.

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