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Library of Congress Subject Heading (LCSH) Browsing and Natural Language Searching

机译：国会科学图书馆主题标题（LCSH）浏览和自然语言搜索

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Controlled topical vocabularies (CVs) are built into information systems to aid browsing and retrieval of items that may be unfamiliar, but it is unclear how this feature should be integrated with standard keyword searching. Few systems or scholarly prototypes have attempted this, and none have used the most widely used CV, the Library of Congress Subject Headings (LCSH), which organizes monograph collections in academic libraries throughout the world. This paper describes a working prototype of a Web application that concurrently allows topic exploration using an outline tree view of the LCSH hierarchy and natural language keyword searching of a real-world Science and Engineering bibliographic collection. Pilot testing shows the system is functional, and work to fit the complex LCSH structure into a usable hierarchy is ongoing. This study contributes to knowledge of the practical design decisions required when developing linked interactions between topical hierarchy browsing and natural language searching, which promise to facilitate information discovery and exploration.
机译：受控局部词汇表（CVS）内置于信息系统中，以帮助浏览和检索可能是不熟悉的项目，但目前尚不清楚该功能如何与标准关键字搜索集成。很少有系统或学术原型已经尝试过这一点，没有使用最广泛使用的CV，国会主题标题（LCSH）图书馆，该标题（LCSH）组织了全球学术图书馆的专着集合。本文介绍了Web应用程序的工作原型，同时使用LCSH层次结构和自然语言关键字搜索的概述树视图主题探索。导频测试显示系统功能性，并将复杂的LCSH结构拟合到可用层次结构中正在进行中。本研究有助于了解在局部层次浏览和自然语言搜索之间开发联系的互动时所需的实际设计决策，这承诺有助于提供信息发现和探索。

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