数字图书馆的视觉检索与外部术语的使用

Arben Hajra, K. Tochtermann
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引用次数: 2

摘要

本文主要研究了可视化检索界面在数字图书馆环境下的应用。主要目标是表示一种基于预选出版物检索类似出版物的简化和直观的交互方法。与传统的基于关键字的搜索相比,这将使学者能够在减少脑力工作量的情况下进行更详细的研究。拟议的方法以一种固有的和概念性的方式,使从其他外部资源中应用所建议的术语成为可能。相应地,术语集可以用同义词、缩小、扩大或密切相关的术语进行扩展。这样的建议可能来自简单的语言同义词库、任何SKOS建模方案和词嵌入方法(如word2vec)的部署。为了更好地说明为什么特定出版物会出现在结果列表中,匹配的术语会被着色。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visual Search in Digital Libraries and the Usage of External Terms
This paper focuses on the application of visual search interfaces in the context of digital libraries. The main objective is to represent a simplified and intuitive interactive approach for retrieving similar publications based on a preselected one. This would enable the scholar to perform more detailed research with the reduced mental workload, in comparison to traditional keyword-based search. The proposed approach, in an innate and conceptual manner, makes possible the application of suggested terms from other external resources. Accordingly, the set of terms can be extended with synonyms, narrowed, broadened or closely related terms. Such suggestions may result from a simple language thesaurus, any SKOS modelling scheme, and the deployment of word embedding approaches, such as word2vec. To provide a better picture of why a particular publication is presented in the results list, the matched terms are colored.
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