Knowledge Graphs.

The article explores knowledge graphs, a knowledge base that uses a graph-structured data model or topology to integrate data. The author suggests the importance of understanding the historical context and background of one's research area, noting that students and junior researchers are not complet...

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Detalles Bibliográficos
Publicado en:Communications of the ACM Vol. 64; no. 3; pp. 96 - 105
Autores principales: GUTIERREZ, CLAUDIO, SEQUEDA, JUAN F.
Formato: Artículo
Publicado: Association for Computing Machinery Mar2021
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Knowledge Graphs.
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          GUTIERREZ, CLAUDIO
          SEQUEDA, JUAN F.
        affil:
          Professor at the DCC, Universidad de Chile and IMFD.
          Principal scientist at data.world, Austin, TX, USA.
      su:
        Knowledge graphs
        Knowledge representation (Information theory)
        Data modeling
        Image processing
        History of technology
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        subj:
          Knowledge graphs
          Knowledge representation (Information theory)
          Data modeling
          Image processing
          History of technology
      ab: The article explores knowledge graphs, a knowledge base that uses a graph-structured data model or topology to integrate data. The author suggests the importance of understanding the historical context and background of one's research area, noting that students and junior researchers are not completely aware of the source of ideas, concepts and techniques they command. Other topics discussed include the automation of reasoning, the history of graphical representations of knowledge, and how the work described in the article was funded by the Millennium Science Initiative Program.
      pubtype: Periodical
      doctype: Article
      src: R
    language: English
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