Development and Evaluation of a Linked Data-based Manga Information System

• Main Authors: Chang, Ting-Chuan, 張婷嫥
• Other Authors: Ke, Hao-Ren
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/5r3asc

碩士 === 國立臺灣師範大學 === 圖書資訊學研究所 === 107 === Nowadays Mangas have become one of the most common reading materials. However, it is found that manga data lacks systematic organization and consistency of data description, which makes it difficult to utilize manga data. Furthermore, the lack of ontology and dataset especially designed for manga also increases difficulty in utilizing manga data. In view of the above reasons, this thesis aims to examine the ontology of manga and develop a union catalog system of manga based on linked data by means of Drupal, the content management system. The developed system provides rich manga information from multiple resources of linked data and offers a union catalog that can collect the holding information of cooperative libraries. Linked data can effectively improve the shortcomings of existent approaches to build union catalogs. Regarding the implementation of the system, it used the manga linked data from Dbpedia and the Media Arts Database developed by the Agency of Cultural Affairts, Japan as a supplement to local manga data, also used Schema.org vocabulary to make the data structured, and transformed the data into RDF format via Drupal's modules. Finally, the linked data was published and and exposed by the SPARQL Endpoint, so that users can query and utilize manga data through SPARQL. This thesis also evaluated the usability of the developed system by means of System Usability Scale (SUS) and got an average score of 74.58, higher than the passing grade 70. Keywords：Manga, Linked Data, Drupal, System Usability Scale