A Dataset Development for Subject Searching from Metadata and Vocabulary about Subject of Manga

Abstract

Descriptive metadata, mainly subject is used to provide search within the vast collections of Manga on the web. Manga subject vocabularies are created to improve the metadata used for subject-based searches. However, considering the large number and diversity of subjects covered, developing such a subject vocabulary for Manga is a tedious process. This research proposes a method to enhance subject vocabulary by expanding the subject headings to improve the inclusiveness. The proposed method initially links existing vocabulary with the metadata obtained from major e-book providers, and then extend subject headings with theme-related words extracted from other web resources.