jguevaraangel-fromJSONtoJSON-LD.jsonld

{
  "@context": {
    "ex": "http://example.org/#",
    "xsd": "http://www.w3.org/2001/XMLSchema#"
  },
  "@graph": [
    {
      "@id": "ex:jguevaraangel",
      "@type": "ex:Person",
      "ex:fullName": [
        {
          "@value": "Juan Andres Guevara Angel",
          "@type": "xsd:string"
        }
      ],
      "ex:homeTown": [
        {
          "@value": "Bogotá D.C.",
          "@type": "xsd:string"
        }
      ],
      "ex:age": [
        {
          "@value": "23",
          "@type": "xsd:string"
        }
      ],
      "ex:almaMater": [
        {
          "@value": "Universidad del Rosario",
          "@type": "xsd:string"
        }
      ],
      "ex:parentsNames": [
        {
          "ex:father": {
            "@value": "Freddy",
            "@type": "xsd:string"
          },
          "ex:mother": {
            "@value": "Ofelia",
            "@type": "xsd:string"
          }
        }
      ],
      "ex:subjects": [
        {
          "@id": "ex:BigData",
          "@type": "ex:Subject",
          "ex:name": "Big Data",
          "ex:teacher": "Antonio LaTorre",
          "ex:description": "This course will allow the student to gain the fundamentals for the analysis of large volumes of data."
        },
        {
          "@id": "ex:CloudComputing",
          "@type": "ex:Subject",
          "ex:name": "Cloud computing and big data ecosystems design",
          "ex:teacher": "Marta Patiño",
          "ex:description": "This course that focuses on the principles and best practices for designing, deploying, and managing cloud-based infrastructures to handle large-scale data."
        },
        {
          "@id": "ex:DataProcesses",
          "@type": "ex:Subject",
          "ex:name": "Data Processes",
          "ex:teacher": "Ernestina Menasalvas",
          "ex:description": "This course designed to provide students with a comprehensive understanding of how data is collected, cleaned, transformed, and analyzed."
        },
        {
          "@id": "ex:DataScienceSeminars",
          "@type": "ex:Subject",
          "ex:name": "Data Science Seminars",
          "ex:teacher": "Raul Alonso",
          "ex:description": "This course is configured around a series of seminars that address the challenges and opportunities emerging from
large quantities of heterogeneous, complex, networked and dynamic data influencing virtually all socio-economic
domains."
        },
        {
          "@id": "ex:DataVisualization",
          "@type": "ex:Subject",
          "ex:name": "Data Visualization",
          "ex:teacher": "Pablo Toharia",
          "ex:description": "This course will allow the student to gain the fundamentals for the visualization of all kinds of information."
        },
        {
          "@id": "ex:DeepLearning",
          "@type": "ex:Subject",
          "ex:name": "Deep Learning",
          "ex:teacher": "Luis Baumela",
          "ex:description": "This course provides an in-depth introduction to deep learning, a subset of machine learning that uses artificial neural networks to model complex patterns in data."
        },
        {
          "@id": "ex:EthicalLegalSocialAspects",
          "@type": "ex:Subject",
          "ex:name": "Ethical, legal and social aspects",
          "ex:teacher": "Víctor Rodríguez",
          "ex:description": "This course is designed to explore the complex relationship between emerging technologies and society."
        },
        {
          "@id": "ex:MachineLearning",
          "@type": "ex:Subject",
          "ex:name": "Machine Learning",
          "ex:teacher": "Pedro Larrañaga",
          "ex:description": "This course exposes several methods to solve problems of supervised and unsupervised
classification, and relationships between system variables."
        },
        {
          "@id": "ex:ODKG",
          "@type": "ex:Subject",
          "ex:name": "Open Data and Knowledge Graphs",
          "ex:teacher": "Oscar Corcho",
          "ex:description": "During this course you will learn about the main foundations for Knowledge Graphs, including the W3C
recommendations that are applicable in this area (RDF, RDF Schema, SPARQL, OWL, CSV on the Web) and
methodologies for the generation and publication of Knowledge Graphs from multiple heterogeneous data sources
and formats, using Linked Data technologies."
        },
        {
          "@id": "ex:PDP",
          "@type": "ex:Subject",
          "ex:name": "Programming For Data Processing",
          "ex:teacher": "Guillermo Antonio Vigueras",
          "ex:description": "This course is related with data manipulation and programming using the Python language."
        },
        {
          "@id": "ex:TSDM",
          "@type": "ex:Subject",
          "ex:name": "Time Series Data Mining",
          "ex:teacher": "Aurora Perez",
          "ex:description": "In this course all the stages of the Knowledge Discovery process will be reviewed, focusing on time series, and the
most important techniques for each stage will be listed."
        }
      ]
    }
  ]
}