2015
DOI: 10.1007/978-3-319-27974-9_12
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A Linked Data Model to Aggregate Serialized Manga from Multiple Data Providers

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Cited by 3 publications
(1 citation statement)
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“…Lee, Shim, and Jett (2015) performed a user study of fans of Japanese anime and noted the need for more descriptive metadata, including genre, art style and character types. Similar findings were reported by Kiryakos and Sugimoto (2015) and Kiryakos, Sugimoto, Nagamori, and Mihara (2016), who found that the incorporation of data from fan pages or other hobbyist Web resources, which were at different levels of granularity, could better meet the level of detail that users of popular culture materials required. Though these latter studies did not directly discuss the need for a franchise-level entity, the attempt to meet user needs for data at different granularity levels yielded some descriptive metadata that are more accurately attributed to the franchise as a whole, rather than a single series or media type.…”
Section: Literature Reviewsupporting
confidence: 84%
“…Lee, Shim, and Jett (2015) performed a user study of fans of Japanese anime and noted the need for more descriptive metadata, including genre, art style and character types. Similar findings were reported by Kiryakos and Sugimoto (2015) and Kiryakos, Sugimoto, Nagamori, and Mihara (2016), who found that the incorporation of data from fan pages or other hobbyist Web resources, which were at different levels of granularity, could better meet the level of detail that users of popular culture materials required. Though these latter studies did not directly discuss the need for a franchise-level entity, the attempt to meet user needs for data at different granularity levels yielded some descriptive metadata that are more accurately attributed to the franchise as a whole, rather than a single series or media type.…”
Section: Literature Reviewsupporting
confidence: 84%