Characterising dataset search-An analysis of search logs and data requests
Characterising dataset search-An analysis of search logs and data requests
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DOI：
10.1016/j.websem.2018.11.003
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发表时间：
2019-03-01
影响因子：
2.5
通讯作者：
Simperl, Elena
中科院分区：
文献类型：
--
作者：
Kacprzak, Emilia;Koesten, Laura;Simperl, Elena
大量的数据越来越多地在网上提供。为了从中受益，我们需要工具来检索与数据需求匹配的最相关的数据集。为了提高数据集的可发现性，已经开发了几个词汇表来描述数据集，但对于数据发布者来说，使用所有词汇表来注释它们的成本太高，甚至太麻烦，从而导致了什么属性更重要的问题。在这项工作中，我们的贡献与数据消费者用来搜索数据的模式和特定属性，以及它如何与一般的网络搜索进行比较的系统研究。我们根据来自四个国家开放数据门户的日志进行了查询日志分析，并对其中一个门户的用户数据请求进行了定性分析。在数据门户网站上发布的搜索查询在长度、主题和结构上与发布给网络搜索引擎的搜索查询不同。根据我们的研究结果，我们假设，门户网站的搜索功能，目前使用的探索方式，而不是检索特定的资源。在我们对数据请求的研究中，我们发现地理空间和时间属性以及数据所需粒度的信息是最常见的特征。这两个分析的结果表明，这些功能是更高的重要性，在数据集检索相比，一般的网络搜索，这表明数据集出版商的努力应该集中在生成数据集的描述，包括他们。(C)2018 Elsevier B.V.版权所有。
Large amounts of data are becoming increasingly available online. In order to benefit from it we need tools to retrieve the most relevant datasets that match ones data needs. Several vocabularies have been developed to describe datasets in order to increase their discoverability, but for data publishers is costly to cumbersome to annotate them using all, leading to the question of what properties are more important. In this work we contribute with a systematic study of the patterns and specific attributes that data consumers use to search for data and how it compares with general web search. We performed a query log analysis based on logs from four national open data portals and conducted a qualitative analysis of user data requests for requests issued to one of them. Search queries issued on data portals differ from those issued to web search engines in their length, topic, and structure. Based on our findings we hypothesise that portals search functionalities are currently used in an exploratory manner, rather than to retrieve a specific resource. In our study of data requests we found that geospatial and temporal attributes, as well as information on the required granularity of the data are the most common features. The findings of both analyses suggest that these features are of higher importance in dataset retrieval in contrast to general web search, suggesting that efforts of dataset publishers should focus on generating dataset descriptions including them. (C) 2018 Elsevier B.V. All rights reserved.