T-curator: a trust based curation tool for LOD logs

TL;DR

This paper introduces T-curator, an interactive tool designed to help users trustfully curate Linked Open Data logs, enhancing their quality and provenance before analysis, thereby supporting decision-making processes.

Contribution

The paper presents a novel trust-based curation tool for LOD logs, addressing the challenge of uncertain provenance and quality of query logs.

Findings

The tool improves trustworthiness of LOD logs.

It supports decision makers with curated, high-quality data.

Enhances previous approaches with an interactive interface.

Abstract

Nowadays, companies are racing towards Linked Open Data (LOD) to improve their added value, but they are ignoring their SPARQL query logs. If well curated, these logs can present an asset for decision makers. A naive and straightforward use of these logs is too risky because their provenance and quality are highly questionable. Users of these logs in a trusted way have to be assisted by providing them with in-depth knowledge of the whole LOD environment and tools to curate these logs. In this paper, we propose an interactive and intuitive trust based tool that can be used to curate these LOD logs before exploiting them. This tool is proposed to support our approach proposed in our previous work Lanasri et al. [2020].