학술논문

Semantic Enrichment of Open Dataset related to sustainable Development Goals using Open Knowledge Graphs
Document Type
Conference
Source
2021 XVI Latin American Conference on Learning Technologies (LACLO) LACLO Learning Technologies (LACLO), 2021 XVI Latin American Conference on. :470-473 Oct, 2021
Subject
Computing and Processing
Knowledge engineering
Annotations
Semantics
Distributed databases
Data models
Sustainable development
Sustainable Development Goals
Graphics Enrichment
Semantic Web.
Language
Abstract
The objective of this work is to create a method to enrich a knowledge graph related to the Sustainable Development Goals (SDGs). Data is key to understanding and managing the SDGs. This paper describes a methodology for enriching knowledge networks related to SDGs. It seeks to work in the context of open information sources and used SDG data. It is approached through the management of heterogeneous and distributed data through the graph-oriented data model. Networks provide a high level of abstraction that facilitates the semantic description of the information, in terms of nodes and relationships. The central purpose of the work consists of incorporating semantic annotations to a knowledge graph with information related to SDG. In this way, the semantic description of the nodes is enriched with external semantic graph components.