Visual and Spatial Digital Humanities Research for Japanese Culture

Explore visual and spatial digital humanities research for Japanese culture in this 35-minute talk by Asanobu Kitamoto from the Alan Turing Institute. Discover various research projects at the ROIS-DS Center for Open Data in the Humanities (CODH), focusing on visual and spatial data analysis. Learn about innovative approaches using computer vision, machine learning, geographic information science, and linked data to tackle humanities research questions. Gain insights into data platforms like IIIF (International Image Interoperability Framework) for creating structured historical data. Examine projects such as the IIIF Curation Platform, Collection of Facial Expressions (KaoKore), Bukan Complete Collection, Edo Maps, and GeoLOD. Delve into topics including art history research, computer vision applications, machine learning-based face detection, visual comparison of editions, old map analysis, and the creation of historical big data. Understand the importance of data structure workflows and their impact on digital humanities research.

Intro
About the Center for Digital Humanities
Nigel Network Project
Open Data Sets
Visualizer Humanities
Triple Creation Platform
Art History Research
Computer Vision
Impact of Machine Learning Based Face Detection
UFC Data Sets
Visual Comparison of Editions
Old Maps
EDO Maps
Referencing
Google Earth
GeoLoD
Travel Guide
Shopping Guide
State Portal
Memory Graph
Old Photographs
Visual Comparison
Historical Big Data
Data Structure Workflow
Summary