Discovering Hidden Analogies in an Online Humanities Database.
1999; Johns Hopkins University Press; Volume: 48; Issue: 1 Linguagem: Inglês
ISSN
1559-0682
Autores Tópico(s)Biomedical Text Mining and Ontologies
ResumoVoluminous databases contain hiddenknowledge, i.e., literatures that are logicallybut not bibliographically linked. Unlinkedliteratures containing academically interestingcommonalities cannot be retrieved via normalsearching methods. Extracting hidden knowledgefrom humanities databases is especiallyproblematic because the literature, written in“everyday”rather than technical language, lacksprecision required for efficient retrieval, andbecause humanities scholars seek new analogiesrather than causes. Drawing upon an efficaciousmethod for discovering previously unknown causesof medical syndromes, and searching inHumanities Index, a periodical index included inWILS, the Wilson Database, an illuminating newhumanities analogy was found by constructing asearch statement in which proper names werecoupled with associated concepts.
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