Dyniqx:一个新颖的元搜索引擎,用于基于元数据的交叉搜索

Jianhan Zhu, D. Song, M. Eisenstadt, C. Barladeanu, S. Ruger
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引用次数: 2

摘要

元数据在集合融合中的作用尚未得到充分的研究。为此,我们提出了一种新的元搜索引擎Dyniqx,用于基于元数据的交叉搜索。Dyniqx利用学术搜索服务(如PubMed和Google Scholar等)中元数据的可用性来融合来自异构搜索引擎的搜索结果。此外,来自这些搜索引擎的元数据用于生成动态查询控件,如滑块和打勾框等,用户可以使用这些控件来过滤搜索结果。我们的初步用户评估表明,Dyniqx可以帮助用户更有效和成功地完成信息搜索任务,而不是三个知名的搜索引擎。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dyniqx: A novel meta-search engine for metadata based cross search
The effect of metadata in collection fusion has not been sufficiently studied. In response to this, we present a novel meta-search engine called Dyniqx for metadata based cross search. Dyniqx exploits the availability of metadata in academic search services such as PubMed and Google Scholar etc for fusing search results from heterogeneous search engines. In addition, metadata from these search engines are used for generating dynamic query controls such as sliders and tick boxes etc which are used by users to filter search results. Our preliminary user evaluation shows that Dyniqx can help users complete information search tasks more efficiently and successfully than three well known search engines respectively.
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