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Improving Information Access to Digital Botanical Collection by Allowing Users to Search with Domain Knowledge

机译:通过允许用户使用领域知识进行搜索来改善对数字植物馆藏的信息访问

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In the field of biological science, correct field identification of species is of critical importancernand requires effective access to and use of specialized biological information. Field guides,rnfloras and faunas, and other publications are written to provide critical information forrnidentification. However, full-text retrieval systems are ineffective at providing access to the veryrnspecific information needed for species identification. In this study, dichotomous key-likerninformation that is often used in species identification is automatically generated from botanicalrndocuments and used to enhance full-text botanical document retrieval. Such information is usedrnto describe document content and is also used to provide a form-based search that allows usersrnto apply their domain knowledge to define various plant characteristics in their queries.rnInformation extraction techniques were used to generate the key-like information from semistructuredrnbotanical documents. Experimental results indicate that this approach improvedrnsearch performance as well as user's satisfaction.
机译:在生物科学领域,正确的物种识别至关重要,需要有效地获取和使用专业的生物信息。编写现场指南,植物区系和动物区系以及其他出版物以提供重要的信息以供识别。但是,全文检索系统无法提供对物种识别所需的非常具体的信息的访问。在这项研究中,通常从植物文档中自动生成常用于物种识别的二分类键样信息,并用于增强全文植物文档的检索。此类信息用于描述文档内容,还用于提供基于表单的搜索,允许用户在查询中应用领域知识来定义各种植物特征。信息提取技术用于从半结构化植物学文档中生成类似键的信息。实验结果表明,该方法提高了搜索性能以及用户满意度。

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