Visualiza ̧cao interativa da evolu ̧cao de grafos de conhecimento
Knowledge graphs are essential artifacts employed to represent structured data in several application domains. Temporal knowledge graphs express a set of knowledge graphs that change over time. A relevant need for such structures is how one makes use of them to analyze knowledge and make decisions. This investigation studies the conception and development of a software tool, for interactively visualizing the evolution of knowledge graphs. We implemented the TKGEvolViewer tool, which enables graphically exploring temporal knowledge graphs, by means of measurements coded within their structures. Our results enable users to conduct visual analyses over temporal knowledge graphs, filtering available information through a graphic modal.
Main Authors: | , , , |
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Format: | Article in monograph or in proceedings biblioteca |
Language: | Portuguese |
Published: |
Sociedade Brasileira de Computação
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Subjects: | Life Science, |
Online Access: | https://research.wur.nl/en/publications/visualiza-cao-interativa-da-evolu-cao-de-grafos-de-conhecimento |
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Summary: | Knowledge graphs are essential artifacts employed to represent structured data in several application domains. Temporal knowledge graphs express a set of knowledge graphs that change over time. A relevant need for such structures is how one makes use of them to analyze knowledge and make decisions. This investigation studies the conception and development of a software tool, for interactively visualizing the evolution of knowledge graphs. We implemented the TKGEvolViewer tool, which enables graphically exploring temporal knowledge graphs, by means of measurements coded within their structures. Our results enable users to conduct visual analyses over temporal knowledge graphs, filtering available information through a graphic modal. |
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