Many students usually use the unknown-item search strategies, including subject and keyword searches, to retrieve books or other materials provided in library catalogs. However, the success rates for unknown-item searching is relatively low compared with the known-item search strategies, i.e., title or author searches. In this paper, a framework for improving the unknown-item search is proposed. The main contributions of our framework concern both user's keywords and book indexing: (i) To enhance a user's keyword, the framework will select other relevant terms in a domain-related ontology; (ii) Topics expressed in course description are used as book indexing. A preliminary experiment shows that the proposed framework gives satisfactory results in terms of the numbers and the precision scores of retrieved books. Furthermore, the proposed interesting-score measure can facilitate to lift the precision levels.

中文翻译：

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应用领域知识和学术信息来增强 OPAC 中的未知项目搜索

许多学生通常使用未知项目搜索策略（包括主题和关键字搜索）来检索图书馆目录中提供的书籍或其他资料。然而，与已知项目搜索策略（即标题或作者搜索）相比，未知项目搜索的成功率相对较低。在本文中，提出了一种改进未知项目搜索的框架。我们框架的主要贡献涉及用户的关键字和书籍索引：（i）为了增强用户的关键字，框架将选择域相关本体中的其他相关术语；(ii) 课程描述中表达的主题用作书籍索引。初步实验表明，所提出的框架在检索书籍的数量和精度得分方面给出了令人满意的结果。此外，