Analysis of Crowdsourced Multilingual Keywords in the Futaba Digital Archive: Lessons Learned for Better Metadata Collection

摘要

Metadata reflecting user needs is necessary to facilitate multilingual access to a digital archive. This paper describes the lessons learned from our experience of crowdsourcing the addition of multilingual keywords to the contents of the Futaba Digital Archive Project. We analyzed keywords offered for pictures of materials collected from evacuation shelters. We found that (1) the type of keyword differs according to the language, and (2) the term used for the same item is not always the same between languages. We propose to provide categories in the input interface and to create a keyword correspondence table for automatic completion of keywords for multilingual access.