The challenge of high recall in biomedical systematic search

Sarvnaz Karimi, J. Zobel, Stefan Pohl, Falk Scholer
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引用次数: 21

Abstract

Clinical systematic reviews are based on expert, laborious search of well-annotated literature. Boolean search on bibliographic databases, such as MEDLINE, continues to be the preferred discovery method, but the size of these databases, now approaching 20 million records, makes it impossible to fully trust these searching methods. We are investigating the trade-offs between Boolean and ranked retrieval. Our findings show that although Boolean search has limitations, it is not obvious that ranking is superior, and illustrate that a single query cannot be used to resolve an information need. Our experiments show that a combination of less complicated Boolean queries and ranked retrieval outperforms either of them individually, leading to possible time savings over the current process.
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生物医学系统检索中高查全率的挑战
临床系统评价是建立在专家的基础上的,费力地搜索有充分注释的文献。在书目数据库(如MEDLINE)上进行布尔搜索仍然是首选的发现方法,但是这些数据库的规模(现在接近2000万条记录)使得不可能完全信任这些搜索方法。我们正在研究布尔检索和排名检索之间的权衡。我们的研究结果表明,尽管布尔搜索有局限性,但排名并不明显优越,并说明单个查询不能用于解决信息需求。我们的实验表明,不太复杂的布尔查询和排名检索的组合比它们单独的任何一个都要好,从而可能比当前的过程节省时间。
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