資訊檢索策略與技巧-預覽頁
【正文】 on, type of publication 31 Questions to ask in low precision—1/2 ? Am I in the correct database? ? Have I underspecified the search problem? ? Do I need to disambiguate a concept of the problem? ? Have I used Boolean logic correctly? ? Have I include vague or ambiguous terms, or terms that are too generic? 32 Questions to ask in low precision—2/2 ? Should I restrict search terms to elements of a controlled vocabulary? ? Where the proximity specifications too loosely placed on the search terms? ? Are false drops resulting from concepts having an unintended relationship with one another? ? Has a search term been truncated too severely? 33 Heuristics for Increasing Precision 1/2 ? Delete near synonyms and potentially ambiguous terms ? Use more specific terms to represent concepts ? Use controlled vocabulary terms if a concept is precisely represented by them。 be willing to look at a search in more than one way. Avoid rigidity in thought and action. ? Browse samples of retrieved citations to assess relevancy. ? Browse samples of retrieved citations to generate additional search terms. ? Be heuristic, interactive. Don’t do “fast batch” searching. 36 Personal Heuristics—2/2 ? Evaluate one’s own work critically. ? Always be skeptical of search output. ? A mindless faith in controlled vocabularies is not always justified. Be critical of the adequacy of artificial languages for the representation of concepts in documents. 。 full text, abstract, title, identifier, and descriptor ? Add additional facets with AND and NOT ? Decrease term truncation ? Use more restrictive proximity operators ? Add restrictions to the formulation, ., by date of publication, type of publication, language, etc. 35 Personal Heuristics—1/2 ? Be flexible。 delete controlled vocabulary terms that do not describe a concept precisely ? If multiple meaning does not appear to be a major problem, search natural language terms that represent the concepts of interest precisely 34 Heuristics for Increasing Precision 2/2 ? If none of the above conditions applies, search fewer subject fields, deleting fields in the approximate o
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