Regresar

Description of open data sets as semantic knowledge graphs to contribute to actions related to the 2030 agenda and the sustainable development goals

Abstract:

This work aims to find links between Open Data (OD) and the Sustainable Development Goals (SDG). There is a significant amount of OD published by different organizations from multiple areas of knowledge. However, this data is dispersed in different databases around the world, and it is highly heterogeneous. Consequently, hindering the ability to leverage these vast amounts of information that may contribute to the progress of the SDGs. The Sustainable Development Goals are structured in natural language, limiting the extraction of useful information. This work proposes and describes an architecture that allows the integration between the SDGs and OD through dynamically materializing nodes and edges in the form of a semantic knowledge graph representation built automatically from information stored within repositories of open data sets related to the 2030 agenda and the SDGs domain. The resulting graph represents a collection of interlinked descriptions of named entities and properties that contribute to one another, forming a semantic graph, where each node and edges represents part of the description of the entities, related to it. Doing so may provide better ways to achieve and track the Sustainable Development Goals with already existing information.