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Lord-V15/S3-knowledge-graph.html

Created January 1, 2024 12:20
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A knowledge graph idea using REBEL
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S3-knowledge-graph.html
<html>
<head>
<meta charset="utf-8">
<script src="lib/bindings/utils.js"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/dist/vis-network.min.css" integrity="sha512-WgxfT5LWjfszlPHXRmBWHkV2eceiWTOBvrKCNbdgDYTHrT2AeLCGbF4sZlZw3UMN3WtL0tGUoIAKsu8mllg/XA==" crossorigin="anonymous" referrerpolicy="no-referrer" />
<script src="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/vis-network.min.js" integrity="sha512-LnvoEWDFrqGHlHmDD2101OrLcbsfkrzoSpvtSQtxK3RMnRV0eOkhhBN2dXHKRrUU8p2DGRTk35n4O8nWSVe1mQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
<center>
<h1></h1>
</center>
<!-- <link rel="stylesheet" href="../node_modules/vis/dist/vis.min.css" type="text/css" />
<script type="text/javascript" src="../node_modules/vis/dist/vis.js"> </script>-->
<link
href="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/css/bootstrap.min.css"
rel="stylesheet"
integrity="sha384-eOJMYsd53ii+scO/bJGFsiCZc+5NDVN2yr8+0RDqr0Ql0h+rP48ckxlpbzKgwra6"
crossorigin="anonymous"
/>
<script
src="https://cdn.jsdelivr.net/npm/bootstrap@5.0.0-beta3/dist/js/bootstrap.bundle.min.js"
integrity="sha384-JEW9xMcG8R+pH31jmWH6WWP0WintQrMb4s7ZOdauHnUtxwoG2vI5DkLtS3qm9Ekf"
crossorigin="anonymous"
></script>
<center>
<h1></h1>
</center>
<style type="text/css">
#mynetwork {
width: 1280;
height: 720;
background-color: #eeeeee;
border: 1px solid lightgray;
position: relative;
float: left;
}
</style>
</head>
<body>
<div class="card" style="width: 100%">
<div id="mynetwork" class="card-body"></div>
</div>
<script type="text/javascript">
// initialize global variables.
var edges;
var nodes;
var allNodes;
var allEdges;
var nodeColors;
var originalNodes;
var network;
var container;
var options, data;
var filter = {
item : '',
property : '',
value : []
};
// This method is responsible for drawing the graph, returns the drawn network
function drawGraph() {
var container = document.getElementById('mynetwork');
// parsing and collecting nodes and edges from the python
nodes = new vis.DataSet([{"color": "#00FF00", "id": "Security token", "label": "Security token", "shape": "circle"}, {"color": "#00FF00", "id": "Artificial intelligence", "label": "Artificial intelligence", "shape": "circle"}, {"color": "#00FF00", "id": "Cloud", "label": "Cloud", "shape": "circle"}, {"color": "#00FF00", "id": "Virtual private cloud", "label": "Virtual private cloud", "shape": "circle"}, {"color": "#00FF00", "id": "Amazon Web Services", "label": "Amazon Web Services", "shape": "circle"}, {"color": "#00FF00", "id": "Amazon S3", "label": "Amazon S3", "shape": "circle"}, {"color": "#00FF00", "id": "Database", "label": "Database", "shape": "circle"}, {"color": "#00FF00", "id": "Analytics", "label": "Analytics", "shape": "circle"}, {"color": "#00FF00", "id": "Bucket", "label": "Bucket", "shape": "circle"}, {"color": "#00FF00", "id": "Universal 2nd Factor", "label": "Universal 2nd Factor", "shape": "circle"}, {"color": "#00FF00", "id": "Machine learning", "label": "Machine learning", "shape": "circle"}, {"color": "#00FF00", "id": "Data lake", "label": "Data lake", "shape": "circle"}, {"color": "#00FF00", "id": "Cloud storage", "label": "Cloud storage", "shape": "circle"}, {"color": "#00FF00", "id": "Big data", "label": "Big data", "shape": "circle"}, {"color": "#00FF00", "id": "Container", "label": "Container", "shape": "circle"}, {"color": "#00FF00", "id": "Object storage", "label": "Object storage", "shape": "circle"}]);
edges = new vis.DataSet([{"arrows": "to", "from": "Amazon S3", "label": "instance of", "title": "instance of", "to": "Cloud"}, {"arrows": "to", "from": "Amazon S3", "label": "instance of", "title": "instance of", "to": "Database"}, {"arrows": "to", "from": "Amazon S3", "label": "part of", "title": "part of", "to": "Amazon S3"}, {"arrows": "to", "from": "Amazon S3", "label": "instance of", "title": "instance of", "to": "Object storage"}, {"arrows": "to", "from": "Amazon S3", "label": "use", "title": "use", "to": "Object storage"}, {"arrows": "to", "from": "Machine learning", "label": "part of", "title": "part of", "to": "Artificial intelligence"}, {"arrows": "to", "from": "Artificial intelligence", "label": "has part", "title": "has part", "to": "Machine learning"}, {"arrows": "to", "from": "Amazon S3", "label": "use", "title": "use", "to": "Big data"}, {"arrows": "to", "from": "Big data", "label": "subclass of", "title": "subclass of", "to": "Analytics"}, {"arrows": "to", "from": "Universal 2nd Factor", "label": "subclass of", "title": "subclass of", "to": "Security token"}, {"arrows": "to", "from": "Universal 2nd Factor", "label": "instance of", "title": "instance of", "to": "Security token"}, {"arrows": "to", "from": "Amazon S3", "label": "instance of", "title": "instance of", "to": "Data lake"}, {"arrows": "to", "from": "Amazon S3", "label": "use", "title": "use", "to": "Data lake"}, {"arrows": "to", "from": "Virtual private cloud", "label": "part of", "title": "part of", "to": "Amazon Web Services"}, {"arrows": "to", "from": "Amazon S3", "label": "instance of", "title": "instance of", "to": "Cloud storage"}, {"arrows": "to", "from": "Amazon S3", "label": "use", "title": "use", "to": "Cloud storage"}, {"arrows": "to", "from": "Bucket", "label": "subclass of", "title": "subclass of", "to": "Container"}, {"arrows": "to", "from": "Bucket", "label": "part of", "title": "part of", "to": "Amazon S3"}]);
nodeColors = {};
allNodes = nodes.get({ returnType: "Object" });
for (nodeId in allNodes) {
nodeColors[nodeId] = allNodes[nodeId].color;
}
allEdges = edges.get({ returnType: "Object" });
// adding nodes and edges to the graph
data = {nodes: nodes, edges: edges};
var options = {
"configure": {
"enabled": false
},
"edges": {
"color": {
"inherit": true
},
"smooth": {
"enabled": true,
"type": "dynamic"
}
},
"interaction": {
"dragNodes": true,
"hideEdgesOnDrag": false,
"hideNodesOnDrag": false
},
"physics": {
"enabled": true,
"repulsion": {
"centralGravity": 0.2,
"damping": 0.09,
"nodeDistance": 200,
"springConstant": 0.05,
"springLength": 200
},
"solver": "repulsion",
"stabilization": {
"enabled": true,
"fit": true,
"iterations": 1000,
"onlyDynamicEdges": false,
"updateInterval": 50
}
}
};
network = new vis.Network(container, data, options);
return network;
}
drawGraph();
</script>
</body>
</html>
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