Query Logs Analytics: A Aystematic Literature Review
Dihia Lanasri

TL;DR
This paper systematically reviews over 300 publications on log usage across databases, data warehouses, web, and knowledge graphs, highlighting commonalities, gaps, and future research opportunities.
Contribution
It consolidates existing knowledge on log exploitation, identifies lack of standardization, and suggests promising directions for future research, especially for knowledge graph logs.
Findings
Limited end-to-end approaches identified
Absence of standard pipelines for log usage
Shared structural elements among different log types
Abstract
In the digital era, user interactions with various resources such as databases, data warehouses, websites, and knowledge graphs (KGs) are increasingly mediated through digital platforms. These interactions leave behind digital traces, systematically captured in the form of logs. Logs, when effectively exploited, provide high value across industry and academia, supporting critical services (e.g., recovery and security), user-centric applications (e.g., recommender systems), and quality-of-service improvements (e.g., performance optimization). Despite their importance, research on log usage remains fragmented across domains, and no comprehensive study currently consolidates existing efforts. This paper presents a systematic survey of log usage, focusing on Database (DB), Data Warehouse (DW), Web, and KG logs. More than 300 publications were analyzed to address three central questions: (1)…
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