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

机译:通过允许用户使用域知识进行搜索,从而改善信息访问数字植物集合

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In the field of biological science, correct field identification of species is of critical importance and requires effective access to and use of specialized biological information. Field guides, floras and faunas, and other publications are written to provide critical information for identification. However, full-text retrieval systems are ineffective at providing access to the very specific information needed for species identification. In this study, dichotomous key-like information that is often used in species identification is automatically generated from botanical documents and used to enhance full-text botanical document retrieval. Such information is used to describe document content and is also used to provide a form-based search that allows users to apply their domain knowledge to define various plant characteristics in their queries. Information extraction techniques were used to generate the key-like information from semistructured botanical documents. Experimental results indicate that this approach improved search performance as well as user's satisfaction.
机译:在生物科学领域,正确的实地鉴定物种具有至关重要的重要性,并且需要有效地访问和使用专门的生物信息。田间指南,植物区群和动物群,以及其他出版物是为了提供识别的关键信息。然而,全文检索系统在提供对物种识别所需的非常具体信息的访问方面无效。在本研究中,通常在物种识别中使用的二分法关键信息从植物文件中自动生成,并用于增强全文植物文件检索。这些信息用于描述文档内容,并且还用于提供基于形式的搜索,该搜索允许用户应用其域知识来定义其查询中的各种工厂特征。信息提取技术用于从半系统的植物文件生成密钥信息。实验结果表明,这种方法改善了搜索性能以及用户的满意度。

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