System Requirements

First, to respond to data-driven ruin integration, we implemented a function to describe how we matched one material with another. In data-driven ruin integration, the starting research process is to collate multiple materials, such as a map to a map, a photograph to a map, and a photograph to a photograph. Evidence related to the collation, such as the interpretation of the identity and relationship of ruins, consists of basic research results. For a flexible description of collation, we organized information about maps and photographs in a unit of a "card" and recorded the results of collation as a "matching card."

Next, we used the IIIF Curation Platform (ICP) to support IIIF:

  1. A part of an image in IIIF format is cut and collected (curated) using the IIIF Curation Viewer.
  2. Using JSONkeeper and Canvas Indexer, curations collected by IIIF Curation Viewer are stored on a server. The results then become searchable from the IIIF Curation Finder.
  3. Using the ICP, we have created a system that allows users to collect illustrations, such as photographs and maps from various Silk Road materials published in the IIIF format, and use them for collation.

Finally, Omeka S, an open-source web publishing platform suitable for publishing scholarly data, was selected to provide a platform for these functions, as Omeka S has rich functions for managing metadata and the flexibility to be extended with modules. We developed several additional modules to connect Omeka S and ICP and internally converted the IIIF curation to CSV for import. We also developed an additional module to handle card-type information units, which enables the functionality of the Silk Road Ruin Database.


The system and data of Silk Road Ruin Database was updated. Mappinning was integrated into the ruin database, and Gazetteers of the Silk Road was extensively reviewed to have 24,139 placenames.
Integrated Database of Silk Road Ruins for Sharing the Evidence of Ruin Re-Identification has received the Best Paper Award from IPSJ SIG Computers and the Humanities Symposium 2021.
New Silk Road Ruin Database was released.