Research Interests
My research entails the enhancement of the quality of discovered JSON schemas by focusing on the next challenges that need to be addressed within the field of JSON schema discovery. These challenges are (1) distinguishing when keys are data or metadata, (2) detecting frequent patterns, and (3) treating objects whose keys are semantically similar with values that are represented in different structures within nested JSON documents.
Publications
J. Namba Database for Human Emotion Estimation through Physiological Data in Industrial Human-Robot Collaboration. 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
J. Namba Spatial and Temporal Attention-based emotion estimation on HRI-AVC dataset. 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
J. Namba Enhancing JSON Schema Discovery by Uncovering Hidden Data, Proceedings of the VLDB 2021 PhD Workshop