Discovering hidden analogies in an online humanities database
Discovering hidden analogies in an online humanities database
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DOI：
10.1023/a:1000422220677
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发表时间：
1997-01-01
期刊：
影响因子：
--
通讯作者：
Cory, KA
中科院分区：
文献类型：
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作者：
Cory, KA
海量的数据库包含隐藏的知识，即在逻辑上但不是在书目上链接的文献。包含学术上有趣的共性的未链接文献无法通过常规搜索方法检索。从人文科学数据库中提取隐藏的知识尤其有问题，因为这些文献是用“日常”语言而不是专业语言写成的，缺乏有效检索所需的精确度，而且人文科学学者寻找新的类比而不是原因。利用一种发现以前未知的医学综合征病因的有效方法，并在WILS收录的期刊索引WILS中进行搜索，威尔逊数据库通过构建一个将专有名称与相关概念结合在一起的搜索语句，找到了一个具有启发性的新的人文类比。
Voluminous databases contain hidden knowledge, i.e., literatures that are logically but not bibliographically linked. Unlinked literatures containing academically interesting commonalities cannot be retrieved via normal searching methods. Extracting hidden knowledge from humanities databases is especially problematic because the literature, written in "everyday" rather than technical language, lacks precision required for efficient retrieval, and because humanities scholars seek new analogies rather than causes. Drawing upon an efficacious method for discovering previously unknown causes of medical syndromes, and searching in Humanities Index, a periodical index included in WILS, the Wilson Database, an illuminating new humanities analogy was found by constructing a search statement in which proper names were coupled with associated concepts.