The Challenges of Linked Open Data Semantic Enrichment, Discovery, and Dissemination (GRID)

Linked open data is crucial for Semantic Web development due to the ability to provide both unambiguous computer interpretation and human understanding of information. Despite the active growth, it is still not easy to discover linked data (LD), difficult to link them, and rather hard to use for collaborative processing. The implementation FAIR principles, designed to counteract semantic chaos and provide information sharing remains the most challenging. In this paper, the authors consider the possibility of data semantic enrichment based on an open LD interpretation environment. Special attention is given to technical solutions aimed at improving the LD exploring capabilities.