Important advances in pillar domains are derived from exploiting query-logs which represents users interest and preferences. Deep understanding of users provides useful knowledge which can influence strongly decision-making. In this work, we want to extract valuable information from Linked Open Data (LOD) query-logs. LOD logs have experienced significant growth due to the large exploitation of LOD datasets. However, exploiting these logs is a difficult task because of their complex structure. Moreover, these logs suffer from many risks related to their Quality and Provenance, impacting their trust. To tackle these issues, we start by clearly defining the ecosystem of LOD query-logs. Then, we provide an end-to-end solution to exploit these logs. At the end, real LOD logs are used and a set of experiments are conducted to validate the proposed solution.

翻译：重要支柱领域的重大进展源自对反映用户兴趣与偏好的查询日志的利用。深入理解用户可提供能显著影响决策的有用知识。本研究旨在从链接开放数据查询日志中提取有价值信息。由于链接开放数据数据集的大规模开发，链接开放数据日志经历了显著增长。然而，因其结构复杂，利用这些日志是一项困难任务。此外，这些日志还面临诸多与质量和来源相关的风险，进而影响其可信度。为解决这些问题，我们首先清晰定义链接开放数据查询日志的生态系统，随后提供端到端解决方案以利用这些日志。最后，利用真实链接开放数据日志开展一系列实验验证所提方案。