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RETRIEVAL FROM FULL-TEXT MEDICAL DATABASES

从全文医学数据库中检索

基本信息

批准号：
2237634
负责人：
MARYELLEN C SIEVERT
金额：
$ 19.15万
依托单位：
UNIVERSITY OF MISSOURI-COLUMBIA
依托单位国家：
美国
项目类别：
财政年份：
1993
资助国家：
美国
起止时间：
1993-09-01 至 1998-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/2237634
关键词：
abstracting computer system design /evaluation information retrieval information system analysis information systems vocabulary development for information system

项目摘要

This proposal advocates a continuation of the MEDLINE/Full-Text Research Project which has studied aspects of the retrieval of relevant articles from full-text databases. In carrying out this phase of the project we shall make extensive use of the data which we have accumulated in answering previous research questions. Two of the four new questions to be addressed arise directly from the results of the current quest for heuristics for full-text searching. They are: 1) How many times should a searcher request that a given concept appear in a document--and in which fields--in order to insure optimum retrieval? 2) What effect does the ability to search both the indexing and the natural language of full-text have on retrieval? The third question results from the increasing use of the structured abstract in medical journals; it is, 3) Does the full-text retain its recall advantage now that the structured abstract is available in the bibliographic files? This question arises from the possibility that the structured abstract might be sufficient for retrieval since it covers certain variables which would be of importance in a search. The fourth question has been suggested by physician participants in the project and focusses our search for heuristics on specific types of relevant articles. It is: 4) How can the searcher of full-text manipulate the strategy to retrieve only relevant articles of highest quality? A corollary questions arises: if quality filters are applied to retrieval from full-text databases does the advantage of full-text over MEDLINE remain? The advent of new searching software for full-text in both online systems and CD-ROM products now makes it possible to investigate the first two questions. Data accumulated so far suggests that there is a close relationship between kind of concept being searched and the most effective search heuristic. By repeating a search in both MEDLINE with the structured abstract and in a full-text journal file-we should be able to see if the full-text retains its recall advantage. Finally the obvious need for "quality filters" in medical information retrieval is the impetus for a search for heuristics for the retrieval of the "best" in full-text medical literature.

该提案主张继续MEDLINE/全文研究研究检索相关文章的项目全文数据库。在执行该项目的这一阶段时，我们将充分利用我们在过去几年中积累的数据，回答先前的研究问题。四个新问题中的两个直接来自目前寻求的结果，用于全文搜索的语法。问题：（1）一个人应该做多少次要求在文档中出现给定的概念， #21453;，以确保最佳的？2)什么样的影响，能够搜索全文的索引和自然语言在检索？第三个问题是由于越来越多地使用医学期刊中的结构化摘要;它是，3）全文是否保留了它的回忆优势，因为结构化摘要是可用的在书目文件里吗这个问题产生于这样一种可能性，结构化摘要可能足以检索，因为它涵盖了在搜索中具有重要性的某些变量。第四参与该项目的医生提出了一个问题，将我们的搜索集中在特定类型的相关文章上。全文检索系统如何运用策略，只检索最高质量的相关文章？一个必然的问题出现：如果将质量过滤器应用于从全文检索全文数据库相对于MEDLINE的优势还存在吗？两个在线系统中新的全文检索软件的出现而现在的CD-ROM产品使得研究前两个问题成为可能问题.迄今为止积累的数据表明，被搜索的概念种类与最有效的启发式搜索通过在MEDLINE和结构化摘要和全文期刊文件-我们应该能够看看全文是否保留了它的回忆优势。最后，显而易见的是，医学信息检索中对“质量过滤器”的需求是用于检索全文中的“最佳”检索词医学文献