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The Effect of Textual Aesthetics on Information Retrieval

机译:文本美学对信息检索的影响

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Examines the effects of orthography on information retrieval (IR). IR systems use white-space normalization to produce graphic, or orthographic words, from text. The punctuation in graphic words is treated idiosyncratically by different database vendor systems. This two-step process produces the index terms that IR users must match when formulating IR queries. The argument advanced by this essay is that these index terms are often unpredictable and therefore difficult to match. In this manner textual aesthetics impedes IR. The textual aesthetics of the space, the hyphen, the apostrophe stopwords are discussed. Examples are given for the commercial database vendor systems of DIALOG, DataStar and OCLC EPIC. Implications are drawn for the manipulation of written language on the World Wide Web.
机译:检查拼字法对信息检索(IR)的影响。 IR系统使用空格归一化来从文本中生成图形字或正交字。图形词的标点符号被不同的数据库供应商系统特有地对待。这个分两步的过程产生了IR用户在制定IR查询时必须匹配的索引词。本文提出的论点是,这些索引项通常是不可预测的,因此难以匹配。以这种方式,文字美学阻碍了IR。讨论了空间的文字美学,连字符,撇号停用词。给出了DIALOG,DataStar和OCLC EPIC的商业数据库供应商系统的示例。暗示了对万维网上书面语言的操纵。

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