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Matching of question and answer terminology in an education research file

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  • Jean Tague

Abstract

The hypothesis that relevant answers in a computer output may be distinguished from peripherally relevant and nonrelevant answers by the relative frequency with which question words and other related terms match words in the title, abstract, and machine index to these answers is investigated, using a sample of 14 questions searched against a pilot information file for education research. The frequencies of (1) significant words of the question, (2) words related thesaurally to the question words by the semantic code, and (3) words added to the original statement by the question analyst as answer index terms are used to determine empirically a function indicating the indexing and evaluating effectiveness of each. Similarly, the frequencies of question words in titles, conventional abstracts, and machine indexes are used to compare the indexing and evaluating effectiveness of these three forms of index.

Suggested Citation

  • Jean Tague, 1965. "Matching of question and answer terminology in an education research file," American Documentation, Wiley Blackwell, vol. 16(1), pages 26-32, January.
    • Handle: RePEc:bla:amedoc:v:16:y:1965:i:1:p:26-32
    DOI: 10.1002/asi.5090160107
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