The Development of the Information Retrieval Method and Database System for Fine Arts

本研究开发了美术文献信息检索方法和数据库系统。由于美术作品的敏感印象和位置数据具有很强的模糊性，本文提出了基于模糊集理论的多媒体数据库系统的数据结构和信息检索模型的几个重要公式。在美术数据库系统中实现了信息检索方法的模糊模型。本研究的主要特点如下：1.基于隶属函数，定义了检索条件、存储数据等模糊属性值; 2.讨论了叙词表中敏感词之间同义关系的定量验证;可以检索存储的敏感印象词和位置数据; 4.用户可以输入检索词作为检索条件，并对检索词进行“低”、“中”、“高”等等级的判断;我们开发了敏感词模糊同义词库，用于美术数据库的检索。最后讨论了美术数据库信息检索公式的可用性和有效性。

In this study, the authors have developed the method of information retrieval and the database system for fine arts. As sensitive impression and location data of fine arts are very fuzzy, we have reported several important formulations about the data structure and information retrieval models based on the fuzzy set theory for multimedia database system. The fuzzy models of the method of information retrieval are implemented in the fine arts database system. The main features of this study as follows : 1. Based on member ship function, we have defined the fuzzy attribute values such as retrieval conditions and the stored data ; 2. We discuss quantitative verification of synonymous relations among sensitive words in the thesaurus ; 3. It is possible to retrieve the stored data on sensitive impression words and location data ; 4. User can input the words as the retrieval condition, and they can estimate the grades such as "low", "medium" and "high" ; 5. We have developed the fuzzy synonymous thesaurus of sensitive words to retrieve the fine arts data base. Finally, we discuss usability and effectiveness of information retrieval formulation for fine arts data base.