VACIT: Tool for Consumption, Analysis and Machine Learning for LOD Resources on CKAN Instances

Abstract

Linked Open Data is a concept that has became stronger in the recent years, providing a series of principles for the interconnection of data through machine-readable structures and knowledge representation schemes defined by ontologies. Nowadays, there are platforms that standardize the LOD resources consumption processes, with CKAN being one of the most relevant with open source, for the management of these resources, gathering around 146 instances among government organizations, communities and NGOs. However, the consumption of these resources lacks of minimum criteria to determine its validity such as level of trust, quality, linkage and usability of the data; aspects that require a previous systematic analysis about the set of published data. To support this process of analysis and determination of the mentioned criteria, the purpose of this article is to build the VACIT tool: Visual analytics for CKAN instances Tool; tool that provides a serie of visual analytics about the current state of the datasets obtained from the different instances published in CKAN. Finally, it presents results, conclusions and future work from the use of the tool for the consumption of datasets that belong to certain instances ascribed to the CKAN platform.