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Active Support for Query Formulation in Virtual Digital Libraries: A Case Study with DAFFODIL

机译:虚拟数字图书馆查询制定的主动支持:用水仙花的案例研究

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DAFFODIL is a front-end to federated, heterogeneous digital libraries targeting at strategic support of users during the information seeking process. This is done by offering a variety of functions for searching, exploring and managing digital library objects. However, the distributed search increases response time and the conceptual model of the underlying search processes is inherently weaker. This makes query formulation harder and the resulting waiting times can be frustrating. In this paper, we investigate the concept of proactive support during the user's query formulation. For improving user efficiency and satisfaction, we implemented annotations, proactive support and error markers on the query form itself. These functions decrease the probability for syntactical or semantical errors in queries. Furthermore, the user is able to make better tactical decisions and feels more confident that the system handles the query properly. Evaluations with 30 subjects showed that user satisfaction is improved, whereas no conclusive results were received for efficiency.
机译:Daffodil是一个前端到联邦的异构数字图书馆,在信息寻求过程中瞄准用户的战略支持。这是通过为搜索,探索和管理数字库对象提供各种功能来完成的。然而,分布式搜索增加了响应时间,并且底层搜索过程的概念模型本质上是较弱的。这使得查询配方更难,结果等待时间可能会令人沮丧。在本文中,我们调查了用户查询制定期间主动支持的概念。为了提高用户效率和满意度,我们在查询表单本身上实现了注释,主动支持和错误标记。这些函数降低了查询中的语法或语义错误的概率。此外,用户能够做出更好的战术决策,并且感觉更自信地正确地处理查询。具有30个受试者的评估表明,用户满意度得到改善,而没有收到效率的确凿结果。

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