Graphs are used in a wide variety of applications within science, politic, and business for their intuitiveness and ability to model complex relationships and problem. kgr is meant to provide an interface for building and maintaining property knowledge graphs in R. Graph based stuctures are not new to R, but tools for interactively and programatically manipulating graphs are seemingly so.
Knowledge graphs have gained a lot of attention in the field of artificial intelligence and natural language processing. Harvesting knowledge from large amounts of data relies on technology which can interpret relationships among entities efficiently. The ability to embed knowledge is important for knowledge representation.
kgr provides a GUI for creating knowledge graphs directly in RStudio and allows users to directly link their data together. It also allows defining and building a property knowledge graph from dataframes and tibbles.
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KGui
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Interactive R GUI Builder | | | |———–|———–| | kg_builder | | | kg | | | | | | | |
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KGmunge
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Knowledge Munging | | | |———–|———–| | | | | | | | | | | | |
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KGEmbed
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Embedded KGs in Shiny | | | |———–|———–| | | | | | | | | | | | |
You can install the development version of kgr like so:
# install.packages("devtools")
devtools::install_github("etam4260/kgr")For more information on how to setup and use this package, please visit [] and click on [Setup] on the top navigation bar.
Neo4j (2012). Neo4j - The World’s Leading Graph Database