Aggregating Metadata from Heterogeneous Pop Culture Resources on the Web

Senan Kiryakos, Shigeo Sugimoto, Mitsuharu Nagamori, Tetsuya Mihara


Japanese pop culture resources, such as manga, anime, and
video games, have recently experienced an increase in both their consumption,
and appreciation for their cultural significance. Traditionally seen as solely
recreational resources, the level of bibliographic description by cultural
heritage institutions has not kept up with the needs of users. In seeking to
remedy this, we propose the aggregation of institutional data, and rich hobbyist
data sourced from the web. Focusing on manga, a form of Japanese comic, this
paper discusses classification and aggregation, with the goal of improving
bibliographic description through the use of fan created data. Bibliographic
metadata for manga was collected from the Japanese Agency for CulturalAffairs
media arts database, along with several Englishlanguage manga fan websites.The
datawas organized into classesto enable property matching across data providers,
and then tested with existing ontologies and aggregation models,namely Europeana
and the Open Archives Initiative’s Object Reuse and Exchange, to determine their
suitability in working with these unique resources. The results show that
existing ontologies may be suitable for use with pop culture materials, but that
new vocabulary terms may need to be created if there is an abundance of granular
data that existing ontologies fail to properly describe. In addition, the
OAI-OREn aggregation method proved to be more promising than EDM when examining
the aggregation of related pop culture resources. The paper discusses these
issues, as well as recommendations for addressing them moving