Used within IntelligentGraph scripts it allows data analysis to be embedded within the graph, rather than requiring graph data to be exported to an analysis engine. I would suggest that Google does not have its own intelligence. If I search for, say, Arnold Schwarzenegger and Harvard, Google will only suggest documents that contain BOTH Arnold Schwarzenegger and Harvard. I might be lucky that someone has digested these facts and produced a single web page with the knowledge I want. I might, however, just as easily find a page of fake knowledge relating Arnold to Harvard.

Since IntelligentGraph combines Knowledge Graphs with embedded data analytics, Jupyter is an obvious choice as a data analysts IntelligentGraph workbench. Using the Jupyter ISparql, we can easily perform SPARQL queries over the same IntelligentGraph created above. We do not have to use Java to script our interaction with the repository.

Since IntelligentGraph combines Knowledge Graphs with embedded data analytics, Jupyter is an obvious choice as a data analysts' IntelligentGraph workbench. Using the Jupyter ISparql, we can easily perform SPARQL queries over the same IntelligentGraph created above. We do not have to use Java to script our interaction with the repository.

Used within IntelligentGraph scripts it allows data analysis to be embedded within the graph, rather than requiring graph data to be exported to an analysis engine. I would suggest that Google does not have its own intelligence. If I search for, say, 'Arnold Schwarzenegger and Harvard', Google will only suggest documents that contain BOTH Arnold Schwarzenegger and Harvard. I might be lucky that someone has digested these facts and produced a single web page with the knowledge I want. I might, however, just as easily find a page of fake knowledge relating Arnold to Harvard.