MULTIPLE SETS OF HUMAN INDEXING FOR CIVIL ENGINEERING DOCUMENTS

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Abstract
Four sets of indexing from various sources for sixty-five journal artcles in the field of civil engineering are analyzed statistically and linguistically. Cross reference patterns of the sets, which include Engineering Index and Applied Science and Technology Index, as well as relevant thesauri are examined. The percentage of terms from each set which are found in the authors' abstracts and full text is reported, as is the contribution of cross references to the find rate. The implicatsion of some of the unexpected findings for free-text online searching and for automatic indexing are given, and the methodological problems of comparing terms from different sources are discussed.

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