模糊詮釋資料及其在圖書館分類編目之應用 Fuzzy Metadata and Its Application to Library Classification and Catalogue

Abstract

本研究提出模糊詮釋資料(fuzzy mnetadata)之概念，並將其應用於圖書館的分類與編日上，以加強書目資料的關聯性，提升檢索結果的廣度。本文首先對於分類編目、詮釋資料、模糊理論等不同領域的研究進行探討；接著，闡述模糊詮釋資料之定義，並以模糊理論模型解釋其意涵；再者，提出圖書模糊分類與編目之實務作法，實際將模糊詮釋資料以中國機讀編目格式註錄至書目資料庫中；最後，發展一套圖書模糊分類與編目實驗系統，利用模糊詮釋資料在相關圖書與類別之間建立不同程度的聯繫，使用者透過此系統，可以從檢索出的資料中，掌握書籍間的相關性，以便進一步查找相關書籍，達到更加滿足其實際資訊需求的目標。This study proposes the concept of Fuzzy Metadata, and then applies it to library classification and catalogue for the purpose of reinforcing the connection of bibliography,such that the broadness of search results could be improved. In the first, the paper discusses the classification, catalogue, metadata and fuzzy theory. And then, it expounds the definition of Fuzzy Metadata and uses the model of fuzzy theory to explain its meaning. Furthermore, we propose a practical approach of fuzzy classifying and cataloging for the library to record the Fuzzy Metadata to its bibliography databases in CMARC format. Finally, we develop a classifying and cataloging system; it uses Fuzzy Metadata to build up distinct levels of connection in related books and categories. The users who use the system could grasp the relationship among the books from the search results, so that they could further search related ones to more satisfy their information needs.

Keywords

• Metadata
• Fuzzy theory
• Fuzzy metadata
• Fuzzy classification
• Fuzzy catalogue