A Query Log Analysis of Dataset Search
A Query Log Analysis of Dataset Search
复制标题
数据集搜索的查询日志分析
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
J. Tennison
中科院分区：
文献类型：
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作者：
Emilia Kacprzak;Laura M. Koesten;L. Ibáñez;E. Simperl;J. Tennison
数据是世界上最重要的数字资产之一，其在网络上的可用性正在增加。为了有效地使用它，我们需要能够检索最相关数据集的工具来满足我们的信息需求。Web搜索引擎不太适合这项任务，因为它们主要是为文档而不是数据设计的。在本文中，我们提出了第一个数据集搜索的查询日志分析，基于四个国家开放的数据门户网站的日志。我们的目标是更好地了解这些门户网站的典型用户以及他们发出的查询类型，并在更广泛的数据集搜索背景下构建调查结果。日志表明，在数据门户网站上发布的查询在长度和结构上与向网络搜索引擎发布的查询不同。从分析中，我们还可以推断，门户网站的使用是探索性的，而不是回答集中的问题。这些见解可以为设计更有效的数据集检索技术提供信息，并改善数据门户的用户体验。
Data is one of the most important digital assets in the world and its availability on the web is increasing. To use it effectively, we need tools that can retrieve the most relevant datasets to match our information needs. Web search engines are not well suited for this task, as they are designed primarily for documents, not data. In this paper, we present the first query log analysis for dataset search, based on logs of four national open data portals. Our aim is to gain a better understanding of the typical users of these portals and the types of queries they issue, and frame the findings in the broader context of dataset search. The logs suggest that queries issued on data portals differ from those issued to web search engines in their length and structure. From the analysis we could also infer that the portals are used exploratively, rather than to answer focused questions. These insights can inform the design of more effective dataset retrieval technology, and improve the user experience of data portals.