圖書館的館藏目錄一直擔任著指引讀者館藏位置的角色，隨著科技的進步，館藏目錄自實體卡片目錄演變為線上公用目錄系統，配合資訊時代的腳步，不遺餘力提供整合檢索資訊給予讀者，應用了大量應用程式介面(API)技術於檢索系統之中，然而API的不一致卻會增加維護檢索系統的困難。
自1990年代，Tim Berners-Lee建立全球資訊網之後，建構結構化且具有語意的資訊網路，透過資料間相互連結的語意網技術，是奠定圖書館下一代目錄提供網路資源檢索服務的重要基礎，鏈結資料則是實踐語意網的最佳實務。
本研究透過鏈結資料的技術，整合存在於網路上的各項資料，系統化使用網路資訊。本研究將書目資料轉換為鏈結資料集，連結網路資訊整併至鏈結書目資料，提供給使用者瀏覽以及下載。最後透過系統使用性量表以及訪談來評估本研究所開發之系統的使用性，瞭解使用者對本系統的接受程度。
本研究達成以系統實作的方式建置一套線上公用目錄，並且依循著鏈結資料的生命週期來逐步建置，使用鏈結資料讓傳統書目資訊得以提供與其他館藏相關連的額外資訊，系統使用性量表達到標準，因此本系統的使用性對使用者而言是可被接受的。訪談結果顯示，本系統得到的正面回饋有：1) 自動建議檢索詞；2) 提供書籍封面縮圖；3) 呈現作者總覽圖表；4) 提供電影改編資訊與系列作品介紹。然而亦有使用者給予負面回饋是可供本研究進行改進：1) 基本書目欄位較少；2) 缺乏QR Code功能。

Library catalogs serve as a role to guide readers the position of collections. With the advance of science and technology, library catalogs evolve from card catalogs into online public access catalogs (OPACs). In order to give readers additional information, Libraries has used various APIs for integrating information from the Internet into OPACs . However, inconsistent APIs may increase the difficulties of maintaining OPACs.
Various resources have been quickly developed on the Internet since Tim Berners-Lee invented World Wide Web in 1990s. With the developed Internet technology, Semantic Web also matures gradually. Therefore, with linked data and simplifing the procedures of using web information, this study integrates various data on the Internet into OPACs. Besides, this study transforms bibliographic records into the sets of linked data, and provides users to browse and download. Finally, this study uses System Usability Scale (SUS) and interviews to evaluate the usability of the proposed linked-data-enabled OPAC system to understand users’ acceptance of this system.
This study aims to establish an OPAC system that provides information additional to traditional bibliographic records with the technology of linked data. The proposed system was developed by following the life cycle of linked data. The SUS evaluation showed that the system's usability is acceptable for users. The results of interviews demonstrated that it had positive and negative opinions from our participants. They gave positive feedbacks of the system, including: 1) automatically suggestions of search terms; 2) providing book covers’ images; 3) displaying authors’ graphs; 4) providing adapted information of the movies and brief introduction of series. However, some of the participants indicated two negative opinions to improve our system: 1) basic bibliographic columns is lesser; 2) lacking for QR code function.

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