【摘要】 本文研究了科技文献副主题词的自动抽取问题,并对其在分面检索中的应用进行了探索。为实现副主题词的自动标引,本文提出了以标题作为抽取数据源、基于规则进行抽取的实现方法,并以图情领域文献进行了实验。结果显示,基于规则的抽取方法在召回率和准确率方面表现良好,均超过了90%;但仅以标题作为抽取数据源会导致召回率偏低,仅有49.9%的文献能抽取出副主题词。为探索副主题词在分面检索中的应用,本文以图情领域文献为例构建了原型系统,从使用效果来,副主题词作为独立的检索点价值不大,但和其他检索点配合使用则可以更贴切地表达用户需求,作为分面则能在帮助用户进行探索式检索以及结果筛选方面发挥重要作用。本研究的局限性包括仅采用标题作为副主题词抽取数据源,导致召回率不高;在副主题词抽取时未考虑同时抽取相应的主题词等。更多还原

【Abstract】 This paper investigates the automatic indexing of subheadings and their application in faceted search.To implement subheading automatic indexing,this paper proposed a method which uses title as the extraction data source and extracts subheadings based on rules,and an experiment is done on library and information science literature to test its effect.The results show that the extraction method based on rules performs well whose recall and precision both exceed90%;only using title as the extraction data source results in a low level of the recall,for only 49.9%of the literatures can be extracted subheadings.To explore subheadings application in faceted search,,this paper constructs a prototype system for library and information science,and it can be concluded that subheading as an independent search point has little value,but with other access points they can express user needs more aptly;as a facet,it plays an important role in helping users complete exploratory search and filter results.The limitation of this study includes only using title as data source of subheadings extraction,which results in low recall;without considering the extraction of corresponding subject headings while extracting subheadings,etc.更多还原