ex/rdfviz-examples.ipynb

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  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyMZKzXqQvlKJit/shSb7efM",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Rathachai/rdfviz/blob/main/ex/rdfviz-examples.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **RDF Visualization in Notebook : Examples**\n",
        "> ## *Author* : [Rathachai CHAWUTHAI](https://rathachai.creatier.pro/) , Ph.D\n",
        "> ### *Affiliation* : Computer Engineering, King Mongkut's Institute of Technology Ladkrabang (KMITL)\n",
        "> #### *Updated Date* : 2023-12-07\n",
        "---"
      ],
      "metadata": {
        "id": "Bv40XFBxtsWt"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "> <a rel=\"license\" href=\"http://creativecommons.org/licenses/by-nc-sa/4.0/\"><img alt=\"Creative Commons License\" style=\"border-width:0\" src=\"https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png\" /></a><br />This work is licensed under a <a rel=\"license\" href=\"http://creativecommons.org/licenses/by-nc-sa/4.0/\">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>."
      ],
      "metadata": {
        "id": "KiBzkJd1vLru"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "---"
      ],
      "metadata": {
        "id": "lwY5HD5kveyk"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Citation\n",
        "\n",
        "Please give a citation to:\n",
        "\n",
        "> Chawuthai, R., & Takeda, H. (2016). Rdf graph visualization by interpreting linked data as knowledge. In Semantic Technology: 5th Joint International Conference, JIST 2015, Yichang, China, November 11-13, 2015, Revised Selected Papers 5 (pp. 23-39). Springer International Publishing."
      ],
      "metadata": {
        "id": "SC5Q4yhR8eDG"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## References\n"
      ],
      "metadata": {
        "id": "Do3NObt1t0fq"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "*   **RDFVIZ** : https://github.com/Rathachai/rdfviz\n",
        "*   RDFlib : https://rdflib.readthedocs.io/\n",
        "*   jQuery : https://jquery.com/\n",
        "*   d3js : https://d3js.org/\n"
      ],
      "metadata": {
        "id": "fdICo-TNvUiz"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "---"
      ],
      "metadata": {
        "id": "GwQHo0gM8rhV"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Import Libraries"
      ],
      "metadata": {
        "id": "ejIZvE7Hu_1R"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# install rdflib\n",
        "\n",
        "!pip install -q rdflib"
      ],
      "metadata": {
        "id": "o4Z3resqwFfQ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# import semantic web nessessaries\n",
        "\n",
        "import rdflib\n",
        "from rdflib import URIRef, BNode, Literal\n",
        "from rdflib import Namespace\n",
        "from rdflib.namespace import DC, DCAT, DCTERMS, FOAF, OWL, PROF, RDF, RDFS, SKOS, TIME, XSD"
      ],
      "metadata": {
        "id": "OMo_eYomwWEk"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "gJnuBJeZrPl4"
      },
      "outputs": [],
      "source": [
        "# import anythings for HTML displaying\n",
        "\n",
        "import requests\n",
        "from IPython.core.display import display, HTML"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Preparing"
      ],
      "metadata": {
        "id": "DhnUss6lwloQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a Class\n",
        "\n",
        "class RdfViz:\n",
        "  def __init__(self, height=400, width=800, viz_template_url='https://rathachai.github.io/rdfviz/src/rdfd3-colab-v1.txt'):\n",
        "\n",
        "    #set param\n",
        "    self.height = str(height)\n",
        "    self.width = str(width)\n",
        "\n",
        "    # download rdfviz template from the github\n",
        "    # rdf_viz_template_url = 'https://rathachai.github.io/rdfviz/src/rdfd3-colab-v1.txt' ### Default\n",
        "    self.rdf_viz_template_text = requests.get(viz_template_url).text\n",
        "\n",
        "  def display(self, graph):\n",
        "\n",
        "    # check if rdfgraph --> convert to list\n",
        "    gtype = type(graph)\n",
        "    if gtype== rdflib.graph.Graph:\n",
        "      graph = self.convert_rdf_to_list(graph)\n",
        "      gtype = type(graph)\n",
        "\n",
        "    # check if list --> convert to str\n",
        "    if gtype==list:\n",
        "      graph = self.convert_list_to_str(graph)\n",
        "      gtype = type(graph)\n",
        "\n",
        "    # check if str --> display\n",
        "    if gtype==str:\n",
        "      gviz = self.rdf_viz_template_text.replace('${TRIPLES}', graph).replace('${WIDTH}', str(self.width)).replace('${HEIGHT}', str(self.height))\n",
        "      display(HTML(gviz))\n",
        "\n",
        "  def convert_rdf_to_list(self, rdf_graph):\n",
        "    # graph --> list\n",
        "    return [(str(s), str(p), str(o)) for s, p, o in rdf_graph]\n",
        "\n",
        "  def convert_list_to_str(self, triples_list):\n",
        "    # list --> str\n",
        "    return str([list(triple) for triple in triples_list])\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "pBB-MS_QG2xi"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Create an Object of RdfViz\n",
        "\n",
        "gv = RdfViz()"
      ],
      "metadata": {
        "id": "BdH7lcfkYyfu"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "---"
      ],
      "metadata": {
        "id": "_5PnJFgo2ByS"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Usecase 1: RDF graph from the List of Tuples"
      ],
      "metadata": {
        "id": "msdTFHfew5L0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# RDF Graph from the list of tuples\n",
        "\n",
        "triples_list =  [\n",
        "    (\"ex:Thailand\", \"ex:hasFood\", \"ex:TomYumKung\"),\n",
        "    (\"ex:TomYumKung\", \"ex:isFoodOf\", \"ex:Thailand\"),\n",
        "    (\"ex:TomYumKung\", \"rdf:type\", \t\"ex:SpicyFood\"),\n",
        "    (\"ex:TomYumKung\", \"ex:includes\", \"ex:shrimp\"),\n",
        "    (\"ex:TomYumKung\", \"ex:includes\", \"ex:chilly\"),\n",
        "    (\"ex:TomYumKung\", \"ex:requires\", \"ex:chilly\"),\n",
        "    (\"ex:TomYumKung\", \"ex:hasSpicy\", \"ex:chilly\"),\n",
        "    (\"ex:TomYumKung\", \"ex:includes\", \"ex:lime\"),\n",
        "    (\"ex:lime\", \"ex:hasTaste\", \"ex:sour\"),\n",
        "    (\"ex:lime\", \"rdf:type\", \"ex:Vegetable\"),\n",
        "    (\"ex:lime\", \"ex:popularIn\", \"ex:Thailand\"),\n",
        "    (\"ex:SpicyFood\", \"ex:popularIn\", \"ex:Thailand\"),\n",
        "    (\"ex:shrimp\", \"rdf:type\", \"ex:Animal\"),\n",
        "    (\"ex:chilly\", \"ex:hasTaste\", \"ex:spicy\"),\n",
        "    (\"ex:chilly\", \"rdf:type\", \"ex:Vegetable\")\n",
        "  ]\n",
        "\n"
      ],
      "metadata": {
        "id": "M21WNiq8sGfB"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# display graph\n",
        "\n",
        "gv.display(triples_list)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 421
        },
        "id": "hrXHSpARtEwn",
        "outputId": "2af551af-bd92-4072-9c82-940209e36bc6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "\t\t.node {\n",
              "\t\t  stroke: #fff;\n",
              "\t\t  fill:#ddd;\n",
              "\t\t  stroke-width: 1.5px;\n",
              "\t\t}\n",
              "\n",
              "\t\t.link {\n",
              "\t\t  fill: none;\n",
              "\t\t  stroke: #999;\n",
              "\t\t  stroke-opacity: .6;\n",
              "\t\t  stroke-width: 1px;\n",
              "\t\t}\n",
              "\n",
              "\t\tmarker {\n",
              "\t\t\tstroke: #999;\n",
              "\t\t\tfill:rgba(124,240,10,0);\n",
              "\t\t}\n",
              "\n",
              "\t\t.node-text {\n",
              "\t\t  font: 11px sans-serif;\n",
              "\t\t  fill:black;\n",
              "\t\t}\n",
              "\n",
              "\t\t.link-text {\n",
              "\t\t  font: 9px sans-serif;\n",
              "\t\t  fill:grey;\n",
              "\t\t}\n",
              "\n",
              "\t\tsvg{\n",
              "\t\t\tborder:0px solid black;\n",
              "\t\t}\n",
              "\t</style>\n",
              "\n",
              "  <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js\"></script>\n",
              "\t<script src=\"https://d3js.org/d3.v3.min.js\"></script>\n",
              "\t<script>\n",
              "\t\tfunction filterNodesById(nodes,id){\n",
              "\t\t\treturn nodes.filter(function(n) { return n.id === id; });\n",
              "\t\t}\n",
              "\n",
              "\t\tfunction filterNodesByType(nodes,value){\n",
              "\t\t\treturn nodes.filter(function(n) { return n.type === value; });\n",
              "\t\t}\n",
              "\n",
              "\t\tfunction triplesToGraph(triples){\n",
              "\n",
              "\t\t\tsvg.html(\"\");\n",
              "\t\t\t//Graph\n",
              "\t\t\tvar graph={nodes:[], links:[], triples:[]};\n",
              "\n",
              "\t\t\t//Initial Graph from triples\n",
              "\t\t\ttriples.forEach(function(triple){\n",
              "        if (triple.length >= 3){\n",
              "          var subjId = triple[0];\n",
              "          var predId = triple[1];\n",
              "          var objId = triple[2];\n",
              "\n",
              "          var subjNode = filterNodesById(graph.nodes, subjId)[0];\n",
              "          var objNode  = filterNodesById(graph.nodes, objId)[0];\n",
              "\n",
              "          if(subjNode==null){\n",
              "            subjNode = {id:subjId, label:subjId, weight:1, type:\"node\"};\n",
              "            graph.nodes.push(subjNode);\n",
              "          }\n",
              "\n",
              "          if(objNode==null){\n",
              "            objNode = {id:objId, label:objId, weight:1, type:\"node\"};\n",
              "            graph.nodes.push(objNode);\n",
              "          }\n",
              "\n",
              "          var predNode = {id:predId, label:predId, weight:1, type:\"pred\"} ;\n",
              "          graph.nodes.push(predNode);\n",
              "\n",
              "          var blankLabel = \"\";\n",
              "\n",
              "          graph.links.push({source:subjNode, target:predNode, predicate:blankLabel, weight:1});\n",
              "          graph.links.push({source:predNode, target:objNode, predicate:blankLabel, weight:1});\n",
              "\n",
              "          graph.triples.push({s:subjNode, p:predNode, o:objNode});\n",
              "        }\n",
              "\t\t\t});\n",
              "\n",
              "\t\t\treturn graph;\n",
              "\t\t}\n",
              "\n",
              "\n",
              "\t\tfunction update(){\n",
              "\t\t\t// ==================== Add Marker ====================\n",
              "\t\t\tsvg.append(\"svg:defs\").selectAll(\"marker\")\n",
              "\t\t\t    .data([\"end\"])\n",
              "\t\t\t  .enter().append(\"svg:marker\")\n",
              "\t\t\t    .attr(\"id\", String)\n",
              "\t\t\t    .attr(\"viewBox\", \"0 -5 10 10\")\n",
              "\t\t\t    .attr(\"refX\", 30)\n",
              "\t\t\t    .attr(\"refY\", -0.5)\n",
              "\t\t\t    .attr(\"markerWidth\", 6)\n",
              "\t\t\t    .attr(\"markerHeight\", 6)\n",
              "\t\t\t    .attr(\"orient\", \"auto\")\n",
              "\t\t\t  .append(\"svg:polyline\")\n",
              "\t\t\t    .attr(\"points\", \"0,-5 10,0 0,5\")\n",
              "\t\t\t    ;\n",
              "\n",
              "\t\t\t// ==================== Add Links ====================\n",
              "\t\t\t var links = svg.selectAll(\".link\")\n",
              "\t\t\t\t\t\t\t\t.data(graph.triples)\n",
              "\t\t\t\t\t\t\t\t.enter()\n",
              "\t\t\t\t\t\t\t\t.append(\"path\")\n",
              "\t\t\t\t\t\t\t\t\t.attr(\"marker-end\", \"url(#end)\")\n",
              "\t\t\t\t\t\t\t\t\t.attr(\"class\", \"link\")\n",
              "\t\t\t\t\t\t\t;\n",
              "\n",
              "\t\t\t// ==================== Add Link Names =====================\n",
              "\t\t\tvar linkTexts = svg.selectAll(\".link-text\")\n",
              "\t\t                .data(graph.triples)\n",
              "\t\t                .enter()\n",
              "\t\t                .append(\"text\")\n",
              "\t\t\t\t\t\t\t.attr(\"class\", \"link-text\")\n",
              "\t\t\t\t\t\t\t.text( function (d) { return d.p.label; })\n",
              "\t\t\t\t\t\t;\n",
              "\n",
              "\t\t\t\t//linkTexts.append(\"title\")\n",
              "\t\t\t\t//\t\t.text(function(d) { return d.predicate; });\n",
              "\n",
              "\t\t\t// ==================== Add Link Names =====================\n",
              "\t\t\tvar nodeTexts = svg.selectAll(\".node-text\")\n",
              "\t\t                .data(filterNodesByType(graph.nodes, \"node\"))\n",
              "\t\t                .enter()\n",
              "\t\t                .append(\"text\")\n",
              "\t\t\t\t\t\t\t.attr(\"class\", \"node-text\")\n",
              "\t\t\t\t\t\t\t.text( function (d) { return d.label; })\n",
              "\t\t\t\t\t\t;\n",
              "\n",
              "\t\t\t\t//nodeTexts.append(\"title\")\n",
              "\t\t\t\t//\t\t.text(function(d) { return d.label; });\n",
              "\n",
              "\t\t\t// ==================== Add Node =====================\n",
              "\t\t\tvar nodes = svg.selectAll(\".node\")\n",
              "\t\t\t\t\t\t\t\t.data(filterNodesByType(graph.nodes, \"node\"))\n",
              "\t\t\t\t\t\t\t\t.enter()\n",
              "\t\t\t\t\t\t\t\t.append(\"circle\")\n",
              "\t\t\t\t\t\t\t\t\t.attr(\"class\", \"node\")\n",
              "\t\t\t\t\t\t\t\t\t.attr(\"r\",8)\n",
              "\t\t\t\t\t\t\t\t\t.call(force.drag)\n",
              "\t\t\t\t\t\t\t;//nodes\n",
              "\n",
              "\t\t\t// ==================== Force ====================\n",
              "\t\t\tforce.on(\"tick\", function() {\n",
              "\t\t\t\tnodes\n",
              "\t\t\t\t\t.attr(\"cx\", function(d){ return d.x; })\n",
              "\t\t\t\t\t.attr(\"cy\", function(d){ return d.y; })\n",
              "\t\t\t\t\t;\n",
              "\n",
              "\t\t\t\tlinks\n",
              "\t\t\t\t\t.attr(\"d\", function(d) {\n",
              "\t\t\t\t\t\t  return \"M\" \t+ d.s.x + \",\" + d.s.y\n",
              "\t\t\t\t\t\t\t\t\t\t+ \"S\" + d.p.x + \",\" + d.p.y\n",
              "\t\t\t\t\t\t\t\t\t\t+ \" \" + d.o.x + \",\" + d.o.y;\n",
              "\t\t\t\t\t\t})\n",
              "\t\t\t\t\t;\n",
              "\n",
              "\t\t\t\tnodeTexts\n",
              "\t\t\t\t\t.attr(\"x\", function(d) { return d.x + 12 ; })\n",
              "\t\t\t\t\t.attr(\"y\", function(d) { return d.y + 3; })\n",
              "\t\t\t\t\t;\n",
              "\n",
              "\n",
              "\t\t\t\tlinkTexts\n",
              "\t\t\t\t\t.attr(\"x\", function(d) { return 4 + (d.s.x + d.p.x + d.o.x)/3  ; })\n",
              "\t\t\t\t\t.attr(\"y\", function(d) { return 4 + (d.s.y + d.p.y + d.o.y)/3 ; })\n",
              "\t\t\t\t\t;\n",
              "\t\t\t});\n",
              "\n",
              "\t\t\t// ==================== Run ====================\n",
              "\t\t\tforce\n",
              "\t\t      .nodes(graph.nodes)\n",
              "\t\t      .links(graph.links)\n",
              "\t\t\t  .charge(-200)\n",
              "\t\t\t  .linkDistance(50)\n",
              "\t\t      .start()\n",
              "\t\t\t  ;\n",
              "\t\t}\n",
              "\n",
              "\n",
              "\t</script>\n",
              "\n",
              "\n",
              "  <div id=\"svg-body\" class=\"panel-body\"></div>\n",
              "  <script>\n",
              "  \tvar triples = [['ex:Thailand', 'ex:hasFood', 'ex:TomYumKung'], ['ex:TomYumKung', 'ex:isFoodOf', 'ex:Thailand'], ['ex:TomYumKung', 'rdf:type', 'ex:SpicyFood'], ['ex:TomYumKung', 'ex:includes', 'ex:shrimp'], ['ex:TomYumKung', 'ex:includes', 'ex:chilly'], ['ex:TomYumKung', 'ex:requires', 'ex:chilly'], ['ex:TomYumKung', 'ex:hasSpicy', 'ex:chilly'], ['ex:TomYumKung', 'ex:includes', 'ex:lime'], ['ex:lime', 'ex:hasTaste', 'ex:sour'], ['ex:lime', 'rdf:type', 'ex:Vegetable'], ['ex:lime', 'ex:popularIn', 'ex:Thailand'], ['ex:SpicyFood', 'ex:popularIn', 'ex:Thailand'], ['ex:shrimp', 'rdf:type', 'ex:Animal'], ['ex:chilly', 'ex:hasTaste', 'ex:spicy'], ['ex:chilly', 'rdf:type', 'ex:Vegetable']] ;\n",
              "\n",
              "\tvar svg = d3.select(\"#svg-body\").append(\"svg\")\n",
              "\t\t\t\t.attr(\"width\", 800 )\n",
              "\t\t\t\t.attr(\"height\", 400 )\n",
              "\t\t\t\t;\n",
              "\n",
              "\tvar force = d3.layout.force().size([ 800, 400 ]);\n",
              "\n",
              "\tvar graph = triplesToGraph(triples);\n",
              "\n",
              "\tupdate();\n",
              "\n",
              "  </script>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "\n",
        "> open in Colab to interact with this graph\n",
        "\n",
        "\n",
        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)"
      ],
      "metadata": {
        "id": "lIy6jvyH_0G_"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "---"
      ],
      "metadata": {
        "id": "eWh6CMaw2AHT"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Usecase 2: RDF Graph from TTL"
      ],
      "metadata": {
        "id": "6w6Df2R9ydBu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# RDF graph in the Turtle format\n",
        "\n",
        "rdf_ttl_text = '''\n",
        "@prefix foaf: <http://xmlns.com/foaf/0.1/> .\n",
        "@prefix pp: <http://example.org/people/> .\n",
        "\n",
        "pp:bob a foaf:Person ;\n",
        "    foaf:knows pp:linda, pp:mark ;\n",
        "    foaf:name \"Bob\" .\n",
        "\n",
        "pp:linda a foaf:Person ;\n",
        "    foaf:name \"Linda\" .\n",
        "\n",
        "pp:mark foaf:name \"Mark\" .\n",
        "'''"
      ],
      "metadata": {
        "id": "3Jaan5xpyiyD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a graph object\n",
        "\n",
        "g = rdflib.Graph()\n",
        "g.parse( data=rdf_ttl_text, format='turtle' )"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6GPc7f4ay4Ty",
        "outputId": "573647b9-c5dc-4f7d-df61-9f167fe9afb6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Graph identifier=N1aae3db155b3490c87bca409574dfbc4 (<class 'rdflib.graph.Graph'>)>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# display graph\n",
        "\n",
        "gv.display(g)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 421
        },
        "id": "hfh-lxDTzDry",
        "outputId": "26de4b0e-e5c6-4936-cd43-936a0930a43d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "\t\t.node {\n",
              "\t\t  stroke: #fff;\n",
              "\t\t  fill:#ddd;\n",
              "\t\t  stroke-width: 1.5px;\n",
              "\t\t}\n",
              "\n",
              "\t\t.link {\n",
              "\t\t  fill: none;\n",
              "\t\t  stroke: #999;\n",
              "\t\t  stroke-opacity: .6;\n",
              "\t\t  stroke-width: 1px;\n",
              "\t\t}\n",
              "\n",
              "\t\tmarker {\n",
              "\t\t\tstroke: #999;\n",
              "\t\t\tfill:rgba(124,240,10,0);\n",
              "\t\t}\n",
              "\n",
              "\t\t.node-text {\n",
              "\t\t  font: 11px sans-serif;\n",
              "\t\t  fill:black;\n",
              "\t\t}\n",
              "\n",
              "\t\t.link-text {\n",
              "\t\t  font: 9px sans-serif;\n",
              "\t\t  fill:grey;\n",
              "\t\t}\n",
              "\n",
              "\t\tsvg{\n",
              "\t\t\tborder:0px solid black;\n",
              "\t\t}\n",
              "\t</style>\n",
              "\n",
              "  <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js\"></script>\n",
              "\t<script src=\"https://d3js.org/d3.v3.min.js\"></script>\n",
              "\t<script>\n",
              "\t\tfunction filterNodesById(nodes,id){\n",
              "\t\t\treturn nodes.filter(function(n) { return n.id === id; });\n",
              "\t\t}\n",
              "\n",
              "\t\tfunction filterNodesByType(nodes,value){\n",
              "\t\t\treturn nodes.filter(function(n) { return n.type === value; });\n",
              "\t\t}\n",
              "\n",
              "\t\tfunction triplesToGraph(triples){\n",
              "\n",
              "\t\t\tsvg.html(\"\");\n",
              "\t\t\t//Graph\n",
              "\t\t\tvar graph={nodes:[], links:[], triples:[]};\n",
              "\n",
              "\t\t\t//Initial Graph from triples\n",
              "\t\t\ttriples.forEach(function(triple){\n",
              "        if (triple.length >= 3){\n",
              "          var subjId = triple[0];\n",
              "          var predId = triple[1];\n",
              "          var objId = triple[2];\n",
              "\n",
              "          var subjNode = filterNodesById(graph.nodes, subjId)[0];\n",
              "          var objNode  = filterNodesById(graph.nodes, objId)[0];\n",
              "\n",
              "          if(subjNode==null){\n",
              "            subjNode = {id:subjId, label:subjId, weight:1, type:\"node\"};\n",
              "            graph.nodes.push(subjNode);\n",
              "          }\n",
              "\n",
              "          if(objNode==null){\n",
              "            objNode = {id:objId, label:objId, weight:1, type:\"node\"};\n",
              "            graph.nodes.push(objNode);\n",
              "          }\n",
              "\n",
              "          var predNode = {id:predId, label:predId, weight:1, type:\"pred\"} ;\n",
              "          graph.nodes.push(predNode);\n",
              "\n",
              "          var blankLabel = \"\";\n",
              "\n",
              "          graph.links.push({source:subjNode, target:predNode, predicate:blankLabel, weight:1});\n",
              "          graph.links.push({source:predNode, target:objNode, predicate:blankLabel, weight:1});\n",
              "\n",
              "          graph.triples.push({s:subjNode, p:predNode, o:objNode});\n",
              "        }\n",
              "\t\t\t});\n",
              "\n",
              "\t\t\treturn graph;\n",
              "\t\t}\n",
              "\n",
              "\n",
              "\t\tfunction update(){\n",
              "\t\t\t// ==================== Add Marker ====================\n",
              "\t\t\tsvg.append(\"svg:defs\").selectAll(\"marker\")\n",
              "\t\t\t    .data([\"end\"])\n",
              "\t\t\t  .enter().append(\"svg:marker\")\n",
              "\t\t\t    .attr(\"id\", String)\n",
              "\t\t\t    .attr(\"viewBox\", \"0 -5 10 10\")\n",
              "\t\t\t    .attr(\"refX\", 30)\n",
              "\t\t\t    .attr(\"refY\", -0.5)\n",
              "\t\t\t    .attr(\"markerWidth\", 6)\n",
              "\t\t\t    .attr(\"markerHeight\", 6)\n",
              "\t\t\t    .attr(\"orient\", \"auto\")\n",
              "\t\t\t  .append(\"svg:polyline\")\n",
              "\t\t\t    .attr(\"points\", \"0,-5 10,0 0,5\")\n",
              "\t\t\t    ;\n",
              "\n",
              "\t\t\t// ==================== Add Links ====================\n",
              "\t\t\t var links = svg.selectAll(\".link\")\n",
              "\t\t\t\t\t\t\t\t.data(graph.triples)\n",
              "\t\t\t\t\t\t\t\t.enter()\n",
              "\t\t\t\t\t\t\t\t.append(\"path\")\n",
              "\t\t\t\t\t\t\t\t\t.attr(\"marker-end\", \"url(#end)\")\n",
              "\t\t\t\t\t\t\t\t\t.attr(\"class\", \"link\")\n",
              "\t\t\t\t\t\t\t;\n",
              "\n",
              "\t\t\t// ==================== Add Link Names =====================\n",
              "\t\t\tvar linkTexts = svg.selectAll(\".link-text\")\n",
              "\t\t                .data(graph.triples)\n",
              "\t\t                .enter()\n",
              "\t\t                .append(\"text\")\n",
              "\t\t\t\t\t\t\t.attr(\"class\", \"link-text\")\n",
              "\t\t\t\t\t\t\t.text( function (d) { return d.p.label; })\n",
              "\t\t\t\t\t\t;\n",
              "\n",
              "\t\t\t\t//linkTexts.append(\"title\")\n",
              "\t\t\t\t//\t\t.text(function(d) { return d.predicate; });\n",
              "\n",
              "\t\t\t// ==================== Add Link Names =====================\n",
              "\t\t\tvar nodeTexts = svg.selectAll(\".node-text\")\n",
              "\t\t                .data(filterNodesByType(graph.nodes, \"node\"))\n",
              "\t\t                .enter()\n",
              "\t\t                .append(\"text\")\n",
              "\t\t\t\t\t\t\t.attr(\"class\", \"node-text\")\n",
              "\t\t\t\t\t\t\t.text( function (d) { return d.label; })\n",
              "\t\t\t\t\t\t;\n",
              "\n",
              "\t\t\t\t//nodeTexts.append(\"title\")\n",
              "\t\t\t\t//\t\t.text(function(d) { return d.label; });\n",
              "\n",
              "\t\t\t// ==================== Add Node =====================\n",
              "\t\t\tvar nodes = svg.selectAll(\".node\")\n",
              "\t\t\t\t\t\t\t\t.data(filterNodesByType(graph.nodes, \"node\"))\n",
              "\t\t\t\t\t\t\t\t.enter()\n",
              "\t\t\t\t\t\t\t\t.append(\"circle\")\n",
              "\t\t\t\t\t\t\t\t\t.attr(\"class\", \"node\")\n",
              "\t\t\t\t\t\t\t\t\t.attr(\"r\",8)\n",
              "\t\t\t\t\t\t\t\t\t.call(force.drag)\n",
              "\t\t\t\t\t\t\t;//nodes\n",
              "\n",
              "\t\t\t// ==================== Force ====================\n",
              "\t\t\tforce.on(\"tick\", function() {\n",
              "\t\t\t\tnodes\n",
              "\t\t\t\t\t.attr(\"cx\", function(d){ return d.x; })\n",
              "\t\t\t\t\t.attr(\"cy\", function(d){ return d.y; })\n",
              "\t\t\t\t\t;\n",
              "\n",
              "\t\t\t\tlinks\n",
              "\t\t\t\t\t.attr(\"d\", function(d) {\n",
              "\t\t\t\t\t\t  return \"M\" \t+ d.s.x + \",\" + d.s.y\n",
              "\t\t\t\t\t\t\t\t\t\t+ \"S\" + d.p.x + \",\" + d.p.y\n",
              "\t\t\t\t\t\t\t\t\t\t+ \" \" + d.o.x + \",\" + d.o.y;\n",
              "\t\t\t\t\t\t})\n",
              "\t\t\t\t\t;\n",
              "\n",
              "\t\t\t\tnodeTexts\n",
              "\t\t\t\t\t.attr(\"x\", function(d) { return d.x + 12 ; })\n",
              "\t\t\t\t\t.attr(\"y\", function(d) { return d.y + 3; })\n",
              "\t\t\t\t\t;\n",
              "\n",
              "\n",
              "\t\t\t\tlinkTexts\n",
              "\t\t\t\t\t.attr(\"x\", function(d) { return 4 + (d.s.x + d.p.x + d.o.x)/3  ; })\n",
              "\t\t\t\t\t.attr(\"y\", function(d) { return 4 + (d.s.y + d.p.y + d.o.y)/3 ; })\n",
              "\t\t\t\t\t;\n",
              "\t\t\t});\n",
              "\n",
              "\t\t\t// ==================== Run ====================\n",
              "\t\t\tforce\n",
              "\t\t      .nodes(graph.nodes)\n",
              "\t\t      .links(graph.links)\n",
              "\t\t\t  .charge(-200)\n",
              "\t\t\t  .linkDistance(50)\n",
              "\t\t      .start()\n",
              "\t\t\t  ;\n",
              "\t\t}\n",
              "\n",
              "\n",
              "\t</script>\n",
              "\n",
              "\n",
              "  <div id=\"svg-body\" class=\"panel-body\"></div>\n",
              "  <script>\n",
              "  \tvar triples = [['http://example.org/people/bob', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'http://xmlns.com/foaf/0.1/Person'], ['http://example.org/people/bob', 'http://xmlns.com/foaf/0.1/name', 'Bob'], ['http://example.org/people/bob', 'http://xmlns.com/foaf/0.1/knows', 'http://example.org/people/linda'], ['http://example.org/people/mark', 'http://xmlns.com/foaf/0.1/name', 'Mark'], ['http://example.org/people/bob', 'http://xmlns.com/foaf/0.1/knows', 'http://example.org/people/mark'], ['http://example.org/people/linda', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'http://xmlns.com/foaf/0.1/Person'], ['http://example.org/people/linda', 'http://xmlns.com/foaf/0.1/name', 'Linda']] ;\n",
              "\n",
              "\tvar svg = d3.select(\"#svg-body\").append(\"svg\")\n",
              "\t\t\t\t.attr(\"width\", 800 )\n",
              "\t\t\t\t.attr(\"height\", 400 )\n",
              "\t\t\t\t;\n",
              "\n",
              "\tvar force = d3.layout.force().size([ 800, 400 ]);\n",
              "\n",
              "\tvar graph = triplesToGraph(triples);\n",
              "\n",
              "\tupdate();\n",
              "\n",
              "  </script>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "> open in Colab to interact with this graph\n",
        "\n",
        "![image.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "PTg_2jMOBJPM"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "---"
      ],
      "metadata": {
        "id": "DhGN5n7m18y9"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Usecase 3: RDF Graph from LOD"
      ],
      "metadata": {
        "id": "esPFqsht1_IR"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "g = rdflib.Graph()\n",
        "g.parse('http://www.w3.org/People/Berners-Lee/card')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l0tiftaj1-UR",
        "outputId": "51c2a111-c75e-406d-9972-68e2915771a2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Graph identifier=Nf30647b922464d9eb310adbacbbbb45b (<class 'rdflib.graph.Graph'>)>"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# display graph\n",
        "\n",
        "gv.width = 1000\n",
        "gv.height = 800\n",
        "\n",
        "gv.display(g)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 821
        },
        "id": "wH4EMouy2_MO",
        "outputId": "70a703da-b2d1-4c8e-b1f7-23c88b91a514"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<style type=\"text/css\">\n",
              "\t\t.node {\n",
              "\t\t  stroke: #fff;\n",
              "\t\t  fill:#ddd;\n",
              "\t\t  stroke-width: 1.5px;\n",
              "\t\t}\n",
              "\n",
              "\t\t.link {\n",
              "\t\t  fill: none;\n",
              "\t\t  stroke: #999;\n",
              "\t\t  stroke-opacity: .6;\n",
              "\t\t  stroke-width: 1px;\n",
              "\t\t}\n",
              "\n",
              "\t\tmarker {\n",
              "\t\t\tstroke: #999;\n",
              "\t\t\tfill:rgba(124,240,10,0);\n",
              "\t\t}\n",
              "\n",
              "\t\t.node-text {\n",
              "\t\t  font: 11px sans-serif;\n",
              "\t\t  fill:black;\n",
              "\t\t}\n",
              "\n",
              "\t\t.link-text {\n",
              "\t\t  font: 9px sans-serif;\n",
              "\t\t  fill:grey;\n",
              "\t\t}\n",
              "\n",
              "\t\tsvg{\n",
              "\t\t\tborder:0px solid black;\n",
              "\t\t}\n",
              "\t</style>\n",
              "\n",
              "  <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js\"></script>\n",
              "\t<script src=\"https://d3js.org/d3.v3.min.js\"></script>\n",
              "\t<script>\n",
              "\t\tfunction filterNodesById(nodes,id){\n",
              "\t\t\treturn nodes.filter(function(n) { return n.id === id; });\n",
              "\t\t}\n",
              "\n",
              "\t\tfunction filterNodesByType(nodes,value){\n",
              "\t\t\treturn nodes.filter(function(n) { return n.type === value; });\n",
              "\t\t}\n",
              "\n",
              "\t\tfunction triplesToGraph(triples){\n",
              "\n",
              "\t\t\tsvg.html(\"\");\n",
              "\t\t\t//Graph\n",
              "\t\t\tvar graph={nodes:[], links:[], triples:[]};\n",
              "\n",
              "\t\t\t//Initial Graph from triples\n",
              "\t\t\ttriples.forEach(function(triple){\n",
              "        if (triple.length >= 3){\n",
              "          var subjId = triple[0];\n",
              "          var predId = triple[1];\n",
              "          var objId = triple[2];\n",
              "\n",
              "          var subjNode = filterNodesById(graph.nodes, subjId)[0];\n",
              "          var objNode  = filterNodesById(graph.nodes, objId)[0];\n",
              "\n",
              "          if(subjNode==null){\n",
              "            subjNode = {id:subjId, label:subjId, weight:1, type:\"node\"};\n",
              "            graph.nodes.push(subjNode);\n",
              "          }\n",
              "\n",
              "          if(objNode==null){\n",
              "            objNode = {id:objId, label:objId, weight:1, type:\"node\"};\n",
              "            graph.nodes.push(objNode);\n",
              "          }\n",
              "\n",
              "          var predNode = {id:predId, label:predId, weight:1, type:\"pred\"} ;\n",
              "          graph.nodes.push(predNode);\n",
              "\n",
              "          var blankLabel = \"\";\n",
              "\n",
              "          graph.links.push({source:subjNode, target:predNode, predicate:blankLabel, weight:1});\n",
              "          graph.links.push({source:predNode, target:objNode, predicate:blankLabel, weight:1});\n",
              "\n",
              "          graph.triples.push({s:subjNode, p:predNode, o:objNode});\n",
              "        }\n",
              "\t\t\t});\n",
              "\n",
              "\t\t\treturn graph;\n",
              "\t\t}\n",
              "\n",
              "\n",
              "\t\tfunction update(){\n",
              "\t\t\t// ==================== Add Marker ====================\n",
              "\t\t\tsvg.append(\"svg:defs\").selectAll(\"marker\")\n",
              "\t\t\t    .data([\"end\"])\n",
              "\t\t\t  .enter().append(\"svg:marker\")\n",
              "\t\t\t    .attr(\"id\", String)\n",
              "\t\t\t    .attr(\"viewBox\", \"0 -5 10 10\")\n",
              "\t\t\t    .attr(\"refX\", 30)\n",
              "\t\t\t    .attr(\"refY\", -0.5)\n",
              "\t\t\t    .attr(\"markerWidth\", 6)\n",
              "\t\t\t    .attr(\"markerHeight\", 6)\n",
              "\t\t\t    .attr(\"orient\", \"auto\")\n",
              "\t\t\t  .append(\"svg:polyline\")\n",
              "\t\t\t    .attr(\"points\", \"0,-5 10,0 0,5\")\n",
              "\t\t\t    ;\n",
              "\n",
              "\t\t\t// ==================== Add Links ====================\n",
              "\t\t\t var links = svg.selectAll(\".link\")\n",
              "\t\t\t\t\t\t\t\t.data(graph.triples)\n",
              "\t\t\t\t\t\t\t\t.enter()\n",
              "\t\t\t\t\t\t\t\t.append(\"path\")\n",
              "\t\t\t\t\t\t\t\t\t.attr(\"marker-end\", \"url(#end)\")\n",
              "\t\t\t\t\t\t\t\t\t.attr(\"class\", \"link\")\n",
              "\t\t\t\t\t\t\t;\n",
              "\n",
              "\t\t\t// ==================== Add Link Names =====================\n",
              "\t\t\tvar linkTexts = svg.selectAll(\".link-text\")\n",
              "\t\t                .data(graph.triples)\n",
              "\t\t                .enter()\n",
              "\t\t                .append(\"text\")\n",
              "\t\t\t\t\t\t\t.attr(\"class\", \"link-text\")\n",
              "\t\t\t\t\t\t\t.text( function (d) { return d.p.label; })\n",
              "\t\t\t\t\t\t;\n",
              "\n",
              "\t\t\t\t//linkTexts.append(\"title\")\n",
              "\t\t\t\t//\t\t.text(function(d) { return d.predicate; });\n",
              "\n",
              "\t\t\t// ==================== Add Link Names =====================\n",
              "\t\t\tvar nodeTexts = svg.selectAll(\".node-text\")\n",
              "\t\t                .data(filterNodesByType(graph.nodes, \"node\"))\n",
              "\t\t                .enter()\n",
              "\t\t                .append(\"text\")\n",
              "\t\t\t\t\t\t\t.attr(\"class\", \"node-text\")\n",
              "\t\t\t\t\t\t\t.text( function (d) { return d.label; })\n",
              "\t\t\t\t\t\t;\n",
              "\n",
              "\t\t\t\t//nodeTexts.append(\"title\")\n",
              "\t\t\t\t//\t\t.text(function(d) { return d.label; });\n",
              "\n",
              "\t\t\t// ==================== Add Node =====================\n",
              "\t\t\tvar nodes = svg.selectAll(\".node\")\n",
              "\t\t\t\t\t\t\t\t.data(filterNodesByType(graph.nodes, \"node\"))\n",
              "\t\t\t\t\t\t\t\t.enter()\n",
              "\t\t\t\t\t\t\t\t.append(\"circle\")\n",
              "\t\t\t\t\t\t\t\t\t.attr(\"class\", \"node\")\n",
              "\t\t\t\t\t\t\t\t\t.attr(\"r\",8)\n",
              "\t\t\t\t\t\t\t\t\t.call(force.drag)\n",
              "\t\t\t\t\t\t\t;//nodes\n",
              "\n",
              "\t\t\t// ==================== Force ====================\n",
              "\t\t\tforce.on(\"tick\", function() {\n",
              "\t\t\t\tnodes\n",
              "\t\t\t\t\t.attr(\"cx\", function(d){ return d.x; })\n",
              "\t\t\t\t\t.attr(\"cy\", function(d){ return d.y; })\n",
              "\t\t\t\t\t;\n",
              "\n",
              "\t\t\t\tlinks\n",
              "\t\t\t\t\t.attr(\"d\", function(d) {\n",
              "\t\t\t\t\t\t  return \"M\" \t+ d.s.x + \",\" + d.s.y\n",
              "\t\t\t\t\t\t\t\t\t\t+ \"S\" + d.p.x + \",\" + d.p.y\n",
              "\t\t\t\t\t\t\t\t\t\t+ \" \" + d.o.x + \",\" + d.o.y;\n",
              "\t\t\t\t\t\t})\n",
              "\t\t\t\t\t;\n",
              "\n",
              "\t\t\t\tnodeTexts\n",
              "\t\t\t\t\t.attr(\"x\", function(d) { return d.x + 12 ; })\n",
              "\t\t\t\t\t.attr(\"y\", function(d) { return d.y + 3; })\n",
              "\t\t\t\t\t;\n",
              "\n",
              "\n",
              "\t\t\t\tlinkTexts\n",
              "\t\t\t\t\t.attr(\"x\", function(d) { return 4 + (d.s.x + d.p.x + d.o.x)/3  ; })\n",
              "\t\t\t\t\t.attr(\"y\", function(d) { return 4 + (d.s.y + d.p.y + d.o.y)/3 ; })\n",
              "\t\t\t\t\t;\n",
              "\t\t\t});\n",
              "\n",
              "\t\t\t// ==================== Run ====================\n",
              "\t\t\tforce\n",
              "\t\t      .nodes(graph.nodes)\n",
              "\t\t      .links(graph.links)\n",
              "\t\t\t  .charge(-200)\n",
              "\t\t\t  .linkDistance(50)\n",
              "\t\t      .start()\n",
              "\t\t\t  ;\n",
              "\t\t}\n",
              "\n",
              "\n",
              "\t</script>\n",
              "\n",
              "\n",
              "  <div id=\"svg-body\" class=\"panel-body\"></div>\n",
              "  <script>\n",
              "  \tvar triples = [['n7e7aed28614f481aa7a6ad0a06d9d652b3', 'http://www.w3.org/2000/10/swap/pim/contact#street', '32 Vassar Street'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/ns/solid/terms#publicTypeIndex', 'https://timbl.com/timbl/Public/PublicTypeIndex.ttl'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/2006/vcard/ns#hasAddress', 'n7e7aed28614f481aa7a6ad0a06d9d652b5'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/ns/pim/space#storage', 'https://timbl.com/timbl/Public/'], ['http://www.w3.org/2011/Talks/0331-hyderabad-tbl/data#talk', 'http://xmlns.com/foaf/0.1/maker', 'https://www.w3.org/People/Berners-Lee/card#i'], ['https://www.w3.org/People/Berners-Lee/card', 'http://creativecommons.org/ns#license', 'http://creativecommons.org/licenses/by-nc/3.0/'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'http://www.w3.org/2000/10/swap/pim/contact#Male'], ['n7e7aed28614f481aa7a6ad0a06d9d652b6', 'http://www.w3.org/2003/01/geo/wgs84_pos#lat', '42.361860'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/2006/vcard/ns#fn', 'Tim Berners-Lee'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://xmlns.com/foaf/0.1/based_near', 'n7e7aed28614f481aa7a6ad0a06d9d652b6'], ['http://www.w3.org/2011/Talks/0331-hyderabad-tbl/data#talk', 'http://purl.org/dc/terms/title', 'Designing the Web for an Open Society'], ['n7e7aed28614f481aa7a6ad0a06d9d652b1', 'http://www.w3.org/ns/auth/cert#modulus', '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'], ['n7e7aed28614f481aa7a6ad0a06d9d652b4', 'http://www.w3.org/2003/01/geo/wgs84_pos#lat', '42.361860'], ['https://timbl.com/timbl/Public/friends.ttl', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'http://xmlns.com/foaf/0.1/PersonalProfileDocument'], ['n7e7aed28614f481aa7a6ad0a06d9d652b4', 'http://www.w3.org/2003/01/geo/wgs84_pos#long', '-71.091840'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://xmlns.com/foaf/0.1/mbox_sha1sum', '965c47c5a70db7407210cef6e4e6f5374a525c5c'], ['http://dig.csail.mit.edu/breadcrumbs/blog/4', 'http://purl.org/dc/elements/1.1/title', \"timbl's blog on DIG\"], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://xmlns.com/foaf/0.1/name', 'Timothy Berners-Lee'], ['https://timbl.com/timbl/Public/friends.ttl', 'http://creativecommons.org/ns#license', 'http://creativecommons.org/licenses/by-nc/3.0/'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'http://xmlns.com/foaf/0.1/Person'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/2000/01/rdf-schema#seeAlso', 'https://timbl.com/timbl/Public/friends.ttl'], ['n7e7aed28614f481aa7a6ad0a06d9d652b1', 'http://www.w3.org/ns/auth/cert#exponent', '65537'], ['http://dig.csail.mit.edu/2005/ajar/ajaw/data#Tabulator', 'http://usefulinc.com/ns/doap#developer', 'https://www.w3.org/People/Berners-Lee/card#i'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://xmlns.com/foaf/0.1/mbox', 'mailto:timbl@w3.org'], ['n7e7aed28614f481aa7a6ad0a06d9d652b2', 'http://www.w3.org/2003/01/geo/wgs84_pos#location', 'n7e7aed28614f481aa7a6ad0a06d9d652b4'], ['http://www.w3.org/2000/10/swap/data#Cwm', 'http://usefulinc.com/ns/doap#developer', 'https://www.w3.org/People/Berners-Lee/card#i'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/ns/solid/terms#profileBackgroundColor', '#ffffff'], ['https://www.w3.org/DesignIssues/Overview.html', 'http://xmlns.com/foaf/0.1/maker', 'https://www.w3.org/People/Berners-Lee/card#i'], ['http://dig.csail.mit.edu/data#DIG', 'http://xmlns.com/foaf/0.1/member', 'https://www.w3.org/People/Berners-Lee/card#i'], ['n7e7aed28614f481aa7a6ad0a06d9d652b5', 'http://www.w3.org/2006/vcard/ns#street-address', '32 Vassar Street'], ['http://wiki.ontoworld.org/index.php/_IRW2006', 'http://www.w3.org/2000/10/swap/pim/contact#participant', 'https://www.w3.org/People/Berners-Lee/card#i'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/2000/10/swap/pim/contact#preferredURI', 'https://www.w3.org/People/Berners-Lee/card#i'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/ns/solid/terms#profileHighlightColor', '#00467E'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/2000/10/swap/pim/contact#publicHomePage', 'https://www.w3.org/People/Berners-Lee/'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://xmlns.com/foaf/0.1/family_name', 'Berners-Lee'], ['n7e7aed28614f481aa7a6ad0a06d9d652b3', 'http://www.w3.org/2000/10/swap/pim/contact#postalCode', '02139'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/2000/10/swap/pim/contact#homePage', 'https://www.w3.org/People/Berners-Lee/'], ['https://timbl.com/timbl/Public/friends.ttl', 'http://purl.org/dc/elements/1.1/title', \"Tim Berners-Lee's editable profile\"], ['https://www.w3.org/People/Berners-Lee/card', 'http://purl.org/dc/elements/1.1/title', \"Tim Berners-Lee's FOAF file\"], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://xmlns.com/foaf/0.1/nick', 'timbl'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://xmlns.com/foaf/0.1/account', 'http://twitter.com/timberners_lee'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://xmlns.com/foaf/0.1/homepage', 'https://www.w3.org/People/Berners-Lee/'], ['http://dig.csail.mit.edu/breadcrumbs/blog/4', 'http://www.w3.org/2000/01/rdf-schema#seeAlso', 'http://dig.csail.mit.edu/breadcrumbs/blog/feed/4'], ['https://www.w3.org/People/Berners-Lee/card', 'http://xmlns.com/foaf/0.1/primaryTopic', 'https://www.w3.org/People/Berners-Lee/card#i'], ['n7e7aed28614f481aa7a6ad0a06d9d652b5', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'http://www.w3.org/2006/vcard/ns#Work'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://xmlns.com/foaf/0.1/title', 'Sir'], ['n7e7aed28614f481aa7a6ad0a06d9d652b2', 'http://www.w3.org/2000/10/swap/pim/contact#address', 'n7e7aed28614f481aa7a6ad0a06d9d652b3'], ['n7e7aed28614f481aa7a6ad0a06d9d652b3', 'http://www.w3.org/2000/10/swap/pim/contact#country', 'USA'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/ns/ldp#inbox', 'https://timbl.com/timbl/Public/Inbox'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/2000/10/swap/pim/contact#assistant', 'https://www.w3.org/People/Berners-Lee/card#amy'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://xmlns.com/foaf/0.1/givenname', 'Timothy'], ['https://timbl.com/timbl/Public/friends.ttl', 'http://xmlns.com/foaf/0.1/primaryTopic', 'https://www.w3.org/People/Berners-Lee/card#i'], ['n7e7aed28614f481aa7a6ad0a06d9d652b1', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'http://www.w3.org/ns/auth/cert#RSAPublicKey'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/ns/solid/terms#oidcIssuer', 'https://timbl.com'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://xmlns.com/foaf/0.1/img', 'https://www.w3.org/Press/Stock/Berners-Lee/2001-europaeum-eighth.jpg'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://xmlns.com/foaf/0.1/openid', 'https://www.w3.org/People/Berners-Lee/'], ['https://www.w3.org/People/Berners-Lee/card', 'http://xmlns.com/foaf/0.1/maker', 'https://www.w3.org/People/Berners-Lee/card#i'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://schema.org/owns', 'https://timblbot.inrupt.net/profile/card#me'], ['http://dig.csail.mit.edu/breadcrumbs/blog/4', 'http://xmlns.com/foaf/0.1/maker', 'https://www.w3.org/People/Berners-Lee/card#i'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://xmlns.com/foaf/0.1/nick', 'TimBL'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/ns/pim/space#preferencesFile', 'https://timbl.com/timbl/Data/preferences.n3'], ['http://www.ecs.soton.ac.uk/~dt2/dlstuff/www2006_data#panel-panelk01', 'http://www.w3.org/2000/10/swap/pim/contact#participant', 'https://www.w3.org/People/Berners-Lee/card#i'], ['http://dig.csail.mit.edu/2007/01/camp/data#course', 'http://xmlns.com/foaf/0.1/maker', 'https://www.w3.org/People/Berners-Lee/card#i'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/ns/pim/space#storage', 'https://timbl.solid.community/'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/2000/01/rdf-schema#label', 'Tim Berners-Lee'], ['n7e7aed28614f481aa7a6ad0a06d9d652b6', 'http://www.w3.org/2003/01/geo/wgs84_pos#long', '-71.091840'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://xmlns.com/foaf/0.1/workplaceHomepage', 'https://www.w3.org/'], ['n7e7aed28614f481aa7a6ad0a06d9d652b5', 'http://www.w3.org/2006/vcard/ns#locality', 'Cambridge'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://xmlns.com/foaf/0.1/account', 'http://www.reddit.com/user/timbl/'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://xmlns.com/foaf/0.1/account', 'http://en.wikipedia.org/wiki/User:Timbl'], ['n7e7aed28614f481aa7a6ad0a06d9d652b3', 'http://www.w3.org/2000/10/swap/pim/contact#street2', 'MIT CSAIL Building 32'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/ns/pim/space#storage', 'https://timbl.inrupt.net/'], ['http://www.ecs.soton.ac.uk/~dt2/dlstuff/www2006_data#panel-panelk01', 'http://www.w3.org/2000/01/rdf-schema#label', 'The Next Wave of the Web (Plenary Panel)'], ['n7e7aed28614f481aa7a6ad0a06d9d652b3', 'http://www.w3.org/2000/10/swap/pim/contact#city', 'Cambridge'], ['https://timbl.com/timbl/Public/friends.ttl', 'http://xmlns.com/foaf/0.1/maker', 'https://www.w3.org/People/Berners-Lee/card#i'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/ns/solid/terms#editableProfile', 'https://timbl.com/timbl/Public/friends.ttl'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/ns/auth/cert#key', 'n7e7aed28614f481aa7a6ad0a06d9d652b1'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://rdfs.org/sioc/ns#avatar', 'https://www.w3.org/People/Berners-Lee/images/timbl-image-by-Coz-cropped.jpg'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://xmlns.com/foaf/0.1/weblog', 'http://dig.csail.mit.edu/breadcrumbs/blog/4'], ['n7e7aed28614f481aa7a6ad0a06d9d652b5', 'http://www.w3.org/2006/vcard/ns#region', 'MA'], ['http://www.w3.org/data#W3C', 'http://xmlns.com/foaf/0.1/member', 'https://www.w3.org/People/Berners-Lee/card#i'], ['n7e7aed28614f481aa7a6ad0a06d9d652b5', 'http://www.w3.org/2006/vcard/ns#postal-code', '02139'], ['http://wiki.ontoworld.org/index.php/_IRW2006', 'http://purl.org/dc/elements/1.1/title', 'Identity, Reference and the Web workshop 2006'], ['https://www.w3.org/People/Berners-Lee/card', 'http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'http://xmlns.com/foaf/0.1/PersonalProfileDocument'], ['https://www.w3.org/People/Berners-Lee/card#i', 'http://www.w3.org/2000/10/swap/pim/contact#office', 'n7e7aed28614f481aa7a6ad0a06d9d652b2'], ['https://www.w3.org/DesignIssues/Overview.html', 'http://purl.org/dc/elements/1.1/title', 'Design Issues for the World Wide Web']] ;\n",
              "\n",
              "\tvar svg = d3.select(\"#svg-body\").append(\"svg\")\n",
              "\t\t\t\t.attr(\"width\", 1000 )\n",
              "\t\t\t\t.attr(\"height\", 800 )\n",
              "\t\t\t\t;\n",
              "\n",
              "\tvar force = d3.layout.force().size([ 1000, 800 ]);\n",
              "\n",
              "\tvar graph = triplesToGraph(triples);\n",
              "\n",
              "\tupdate();\n",
              "\n",
              "  </script>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "> open in Colab to interact with this graph\n",
        "\n",
        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)"
      ],
      "metadata": {
        "id": "8M17asbGBwcY"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "---\n",
        "https://rathachai.creatier.pro/\n",
        "\n",
        "## つづく"
      ],
      "metadata": {
        "id": "Mit513FbveGF"
      }
    }
  ]
}