01-01-Transform-Core.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1719c202",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<link rel=\"stylesheet\" type=\"text/css\" href=\"src/css/notebook.css\"/>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "try:    \n",
    "    import json\n",
    "except:\n",
    "    !pip install json\n",
    "    import json\n",
    "    \n",
    "try:\n",
    "    import IPython\n",
    "except:\n",
    "    !pip install IPython\n",
    "    import IPython   \n",
    "    \n",
    "from IPython.display import display,IFrame,HTML, Javascript, YouTubeVideo\n",
    "HTML(\"\"\"<link rel=\"stylesheet\" type=\"text/css\" href=\"src/css/notebook.css\"/>\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df17b5a5",
   "metadata": {},
   "source": [
    "## Introduction\n",
    "\n",
    "This notebook steps through the creation of core properties that are required for a Linked Art representation in JSON-LD.\n",
    "\n",
    "If you would like background information on Linked Data, JSON-LD, Linked Art or Jupyter notebooks, please view the following videos:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "27f78139",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<h3>Linked Data</h3>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/jpeg": 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\n",
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\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"400\"\n",
       "            height=\"300\"\n",
       "            src=\"https://www.youtube.com/embed/jZ952vChhuI\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "            \n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x10a4b2460>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(HTML(\"<h3>Linked Data</h3>\"))\n",
    "display(YouTubeVideo('4x_xzT5eF5Q'))\n",
    "display(HTML(\"<h3>JSON-LD</h3>\"))\n",
    "display(YouTubeVideo('vioCbTo3C-4'))\n",
    "display(HTML(\"<h3>Linked Art</h3>\"))\n",
    "display(YouTubeVideo('lDbasKNtWM8'))\n",
    "display(HTML(\"<h3>Jupyter Code Notebooks</h3>\"))\n",
    "display(YouTubeVideo('jZ952vChhuI'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc808fff",
   "metadata": {},
   "source": [
    "## Creating a Linked Art Representation of an Artwork\n",
    "\n",
    "The notebook will step you through the creation of a simple Linked Art JSON-LD serialization including the core properties that every resource should have for it to be a useful part of the world of Linked Open Data:\n",
    "\n",
    "* `@context` \n",
    "* `id` \n",
    "* `type` \n",
    "* `_label`\n",
    "\n",
    "After each step the JSON-LD file will be displayed."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1b467ea",
   "metadata": {},
   "source": [
    "## Linked Art - Core Property - @context\n",
    "\n",
    "`@context` is a reference to the context mapping which determines how to interpret the JSON as Linked Open Data. \n",
    "\n",
    "It is not a property of the entity being described, but of the document. It must be present.\n",
    "\n",
    "The @context value for Linked Art is `https://linked.art/ns/v1/linked-art.json`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5ea2f6ed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"@context\": \"https://linked.art/ns/v1/linked-art.json\"\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# dictionary to hold values \n",
    "doc = {\"@context\": \"https://linked.art/ns/v1/linked-art.json\"}\n",
    "\n",
    "print(json.dumps(doc,indent=2))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffb23f44",
   "metadata": {},
   "source": [
    "## Linked Art - Core Property - id\n",
    "\n",
    "`id` captures the URI that identifies the object.  Every resource must have exactly one id, and it must be an HTTP URI. \n",
    "\n",
    "Persistent URIs are a key requirement of Linked Data and consequently Linked Art.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a429b996",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter a URI to identify the object,  e.g. https://linked.art/example/object/19:\n",
      "URI value:dg\n",
      "\n",
      "\n",
      "The URI entered is assigned to the 'id' property\n",
      "\n",
      "{\n",
      "  \"@context\": \"https://linked.art/ns/v1/linked-art.json\",\n",
      "  \"id\": \"dg\"\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "uri = input(\"Enter a URI to identify the object,  e.g. https://linked.art/example/object/19:\\nURI value:\")\n",
    "doc[\"id\"] = uri\n",
    "print(\"\\n\\nThe URI entered is assigned to the 'id' property\\n\")\n",
    "print(json.dumps(doc,indent=2))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4c9d2b7",
   "metadata": {},
   "source": [
    "## Linked Art - Core Property - type\n",
    "`type` captures the class of the object, or `rdf:type` in RDF. \n",
    "\n",
    "- Every resource must have exactly one class. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6c0fcecc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter a type e.g. HumanMadeObject:\n",
      "asdf\n",
      "\n",
      "\n",
      "The class entered is assigned to the 'type' property\n",
      "\n",
      "{\n",
      "  \"@context\": \"https://linked.art/ns/v1/linked-art.json\",\n",
      "  \"id\": \"dg\",\n",
      "  \"type\": \"asdf\"\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "obj_type = input(\"Enter a type e.g. HumanMadeObject:\\n\")\n",
    "doc[\"type\"] = obj_type\n",
    "\n",
    "print(\"\\n\\nThe class entered is assigned to the 'type' property\\n\")\n",
    "print(json.dumps(doc,indent=2))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3831c81f",
   "metadata": {},
   "source": [
    "## Linked Art - Core Property -_label\n",
    "`_label` captures a human readable label as a string, intended for developers or other people reading the data to understand what they are looking at.  \n",
    "\n",
    "- Every resource should have exactly one label, and must not have more than one.\n",
    "- The value is a string, and does not have a language associated with it.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "00c366e9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter a label for the object:\n",
      "fasd\n",
      "\n",
      "\n",
      "The value entered is assigned to the '_label' property\n",
      "\n",
      "{\n",
      "  \"@context\": \"https://linked.art/ns/v1/linked-art.json\",\n",
      "  \"id\": \"dg\",\n",
      "  \"type\": \"asdf\",\n",
      "  \"_label\": \"fasd\"\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "label = input(\"Enter a label for the object:\\n\")\n",
    "doc[\"_label\"] = label\n",
    "\n",
    "print(\"\\n\\nThe value entered is assigned to the '_label' property\\n\")\n",
    "print(json.dumps(doc,indent=2))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c6f7c5d",
   "metadata": {},
   "source": [
    "## Visualisation of the JSON-LD\n",
    "\n",
    "The minimum JSON-LD code has been created. The following cells visualise that JSON-LD."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "89e8a10d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"vis\" style=\"width:3000px;height:100%\"></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HTML('<div id=\"vis\" style=\"width:3000px;height:100%\"></div>')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c5819a34",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "require.config({paths: {\n",
       "    d3: \"http://d3js.org/d3.v3.min\"\n",
       "}});\n",
       "\n",
       "\n",
       "\n",
       "function visjsonld(jsonld, selector){\n",
       "   \n",
       "    require([\"d3\"], function(d3) {\n",
       "          \n",
       "    var config = {};\n",
       "    \n",
       "    var h = config.h || 800\n",
       "          , w = config.w || 3000\n",
       "          , maxLabelWidth = config.maxLabelWidth || 200\n",
       "          , transitionDuration = config.transitionDuration || 750\n",
       "          , transitionEase = config.transitionEase || 'cubic-in-out'\n",
       "          , minRadius = config.minRadius || 5\n",
       "          , scalingFactor = config.scalingFactor || 2;\n",
       "    \n",
       "    var i = 0;\n",
       "\n",
       "    var tree = d3.layout.tree()\n",
       "          .size([h, w]);\n",
       "        \n",
       "    var diagonal = d3.svg.diagonal()\n",
       "          .projection(function(d) { return [d.y, d.x]; });\n",
       "        \n",
       "    d3.select(selector).selectAll(\"svg\").remove();\n",
       "   \n",
       "    var svg = d3.select(selector).append('svg')\n",
       "            .attr('width', w)\n",
       "            .attr('height', h)\n",
       "            .attr('style', 'background-color:#80CBC4 ')\n",
       "            .append('g')\n",
       "            .attr('transform', 'translate(' + maxLabelWidth + ',0)');\n",
       "            \n",
       "     var root = jsonldTree(jsonld);\n",
       "        root.x0 = h / 2;\n",
       "        root.y0 = 0;\n",
       "        root.children.forEach(collapse);\n",
       "    \n",
       "        function changeSVGWidth(newWidth) {\n",
       "          if (w !== newWidth) {\n",
       "            d3.select(selector + ' > svg').attr('width', newWidth);\n",
       "          }\n",
       "        }\n",
       "    \n",
       "        function jsonldTree(source) {\n",
       "          var tree = {};\n",
       "    \n",
       "          if ('@id' in source) {\n",
       "            tree.isIdNode = true;\n",
       "            tree.name = source['@id'];\n",
       "            if (tree.name.length > maxLabelWidth / 9) {\n",
       "              tree.valueExtended = tree.name;\n",
       "              tree.name = '...' + tree.valueExtended.slice(-Math.floor(maxLabelWidth / 9));\n",
       "            }\n",
       "          } else {\n",
       "            tree.isIdNode = true;\n",
       "            tree.isBlankNode = true;\n",
       "            // random id, can replace with actual uuid generator if needed\n",
       "            tree.name = '_' + Math.random().toString(10).slice(-7);\n",
       "          }\n",
       "    \n",
       "          var children = [];\n",
       "          Object.keys(source).forEach(function(key) {\n",
       "            if (key === '@id' || key === '@context' || source[key] === null) return;\n",
       "    \n",
       "            var valueExtended, value;\n",
       "            if (typeof source[key] === 'object' && !Array.isArray(source[key])) {\n",
       "              children.push({\n",
       "                name: key,\n",
       "                children: [jsonldTree(source[key])]\n",
       "              });\n",
       "            } else if (Array.isArray(source[key])) {\n",
       "              children.push({\n",
       "                name: key,\n",
       "                children: source[key].map(function(item) {\n",
       "                  if (typeof item === 'object') {\n",
       "                    return jsonldTree(item);\n",
       "                  } else {\n",
       "                    return { name: item };\n",
       "                  }\n",
       "                })\n",
       "              });\n",
       "            } else {\n",
       "              valueExtended = source[key];\n",
       "              value = valueExtended;\n",
       "              if (value.length > maxLabelWidth / 9) {\n",
       "                value = value.slice(0, Math.floor(maxLabelWidth / 2)) + '...';\n",
       "                children.push({\n",
       "                  name: key,\n",
       "                  value: value,\n",
       "                  valueExtended: valueExtended\n",
       "                });\n",
       "              } else {\n",
       "                children.push({\n",
       "                  name: key,\n",
       "                  value: value\n",
       "                });\n",
       "              }\n",
       "            }\n",
       "          });\n",
       "    \n",
       "          if (children.length) {\n",
       "            tree.children = children;\n",
       "          }\n",
       "    \n",
       "          return tree;\n",
       "        }\n",
       "    \n",
       "        function update(source) {\n",
       "          var nodes = tree.nodes(root).reverse();\n",
       "          var links = tree.links(nodes);\n",
       "    \n",
       "          nodes.forEach(function(d) { d.y = d.depth * maxLabelWidth; });\n",
       "    \n",
       "          var node = svg.selectAll('g.node')\n",
       "            .data(nodes, function(d) { return d.id || (d.id = ++i); });\n",
       "    \n",
       "          var nodeEnter = node.enter()\n",
       "            .append('g')\n",
       "            .attr('class', 'node')\n",
       "            .attr('transform', function(d) { return 'translate(' + source.y0 + ',' + source.x0 + ')'; })\n",
       "            .on('click', click);\n",
       "    \n",
       "          nodeEnter.append('circle')\n",
       "            .attr('r', 0)\n",
       "            .style('stroke-width', function(d) {\n",
       "              return d.isIdNode ? '2px' : '1px';\n",
       "            })\n",
       "            .style('stroke', function(d) {\n",
       "              return d.isIdNode ? '#F7CA18' : '#4ECDC4';\n",
       "            })\n",
       "            .style('fill', function(d) {\n",
       "              if (d.isIdNode) {\n",
       "                return d._children ? '#F5D76E' : 'white';\n",
       "              } else {\n",
       "                return d._children ? '#86E2D5' : 'white';\n",
       "              }\n",
       "            })\n",
       "            \n",
       "    \n",
       "          nodeEnter.append('text')\n",
       "            .attr('x', function(d) {\n",
       "              var spacing = computeRadius(d) + 5;\n",
       "              return d.children || d._children ? -spacing : spacing;\n",
       "            })\n",
       "            .attr('dy', '4')\n",
       "            .attr('text-anchor', function(d) { return d.children || d._children ? 'end' : 'start'; })\n",
       "            .text(function(d) { return d.name + (d.value ? ': ' + d.value : ''); })\n",
       "            .style('fill-opacity', 0)\n",
       ";\n",
       "    \n",
       "          var maxSpan = Math.max.apply(Math, nodes.map(function(d) { return d.y + maxLabelWidth; }));\n",
       "          if (maxSpan + maxLabelWidth + 20 > w) {\n",
       "            changeSVGWidth(maxSpan + maxLabelWidth);\n",
       "            d3.select(selector).node().scrollLeft = source.y0;\n",
       "          }\n",
       "    \n",
       "          var nodeUpdate = node.transition()\n",
       "            .duration(transitionDuration)\n",
       "            .ease(transitionEase)\n",
       "            .attr('transform', function(d) { return 'translate(' + d.y + ',' + d.x + ')'; });\n",
       "    \n",
       "          nodeUpdate.select('circle')\n",
       "            .attr('r', function(d) { return computeRadius(d); })\n",
       "            .style('stroke-width', function(d) {\n",
       "              return d.isIdNode ? '2px' : '1px';\n",
       "            })\n",
       "            .style('stroke', function(d) {\n",
       "              return d.isIdNode ? '#F7CA18' : '#4ECDC4';\n",
       "            })\n",
       "            .style('fill', function(d) {\n",
       "              if (d.isIdNode) {\n",
       "                return d._children ? '#F5D76E' : 'white';\n",
       "              } else {\n",
       "                return d._children ? '#86E2D5' : 'navy';\n",
       "              }\n",
       "            });\n",
       "    \n",
       "            nodeUpdate.select('text').style('fill-opacity', 1);\n",
       "            nodeUpdate.select('text').style('font-family', \"'Open Sans', 'Helvetica Neue', Helvetica, sans-serif\");\n",
       "            nodeUpdate.select('text').style('fill', '#333333');\n",
       "            nodeUpdate.select('text').style('font-size', '12px');\n",
       "            \n",
       "            \n",
       "           \n",
       "            \n",
       "    \n",
       "      \n",
       "    \n",
       "          var nodeExit = node.exit().transition()\n",
       "            .duration(transitionDuration)\n",
       "            .ease(transitionEase)\n",
       "            .attr('transform', function(d) { return 'translate(' + source.y + ',' + source.x + ')'; })\n",
       "            .remove();\n",
       "    \n",
       "          nodeExit.select('circle').attr('r', 0);\n",
       "          nodeExit.select('text').style('fill-opacity', 0);\n",
       "    \n",
       "          var link = svg.selectAll('path.link')\n",
       "            .data(links, function(d) { return d.target.id; });\n",
       "    \n",
       "          link.enter().insert('path', 'g')\n",
       "            .attr('class', 'link')\n",
       "            .attr('style', 'fill: none;stroke: #DADFE1;stroke-width: 1px;')\n",
       "            .attr('d', function(d) {\n",
       "              var o = { x: source.x0, y: source.y0 };\n",
       "              return diagonal({ source: o, target: o });\n",
       "            });\n",
       "    \n",
       "          link.transition()\n",
       "            .duration(transitionDuration)\n",
       "            .ease(transitionEase)\n",
       "            .attr('d', diagonal);\n",
       "    \n",
       "          link.exit().transition()\n",
       "            .duration(transitionDuration)\n",
       "            .ease(transitionEase)\n",
       "            .attr('d', function(d) {\n",
       "              var o = { x: source.x, y: source.y };\n",
       "              return diagonal({ source: o, target: o });\n",
       "            })\n",
       "            .remove();\n",
       "    \n",
       "          nodes.forEach(function(d) {\n",
       "            d.x0 = d.x;\n",
       "            d.y0 = d.y;\n",
       "          });\n",
       "        }\n",
       "    \n",
       "        function computeRadius(d) {\n",
       "          if (d.children || d._children) {\n",
       "            return minRadius + (numEndNodes(d) / scalingFactor);\n",
       "          } else {\n",
       "            return minRadius;\n",
       "          }\n",
       "        }\n",
       "    \n",
       "        function numEndNodes(n) {\n",
       "          var num = 0;\n",
       "          if (n.children) {\n",
       "            n.children.forEach(function(c) {\n",
       "              num += numEndNodes(c);\n",
       "            });\n",
       "          } else if (n._children) {\n",
       "            n._children.forEach(function(c) {\n",
       "              num += numEndNodes(c);\n",
       "            });\n",
       "          } else {\n",
       "            num++;\n",
       "          }\n",
       "          return num;\n",
       "        }\n",
       "    \n",
       "        function click(d) {\n",
       "          if (d.children) {\n",
       "            d._children = d.children;\n",
       "            d.children = null;\n",
       "          } else {\n",
       "            d.children = d._children;\n",
       "            d._children = null;\n",
       "          }\n",
       "    \n",
       "          update(d);\n",
       "    \n",
       "          // fast-forward blank nodes\n",
       "          if (d.children) {\n",
       "            d.children.forEach(function(child) {\n",
       "              if (child.isBlankNode && child._children) {\n",
       "                click(child);\n",
       "              }\n",
       "            });\n",
       "          }\n",
       "        }\n",
       "    \n",
       "        function collapse(d) {\n",
       "          if (d.children) {\n",
       "            d._children = d.children;\n",
       "            d._children.forEach(collapse);\n",
       "            d.children = null;\n",
       "          }\n",
       "        }\n",
       "    \n",
       "        update(root);\n",
       "      \n",
       "        \n",
       "    })\n",
       "    }\n",
       "var data = {\"@context\": \"https://linked.art/ns/v1/linked-art.json\", \"id\": \"dg\", \"type\": \"asdf\", \"_label\": \"fasd\"}; var selector = \"#vis\"; visjsonld(data, selector); "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with open('src/js/visld2.js', 'r') as _jscript:\n",
    "    code = _jscript.read() + 'var data = ' + json.dumps(doc) + '; var selector = \"#vis\"; visjsonld(data, selector); ' \n",
    "Javascript(code)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "902bc366",
   "metadata": {},
   "source": [
    "# Next Steps"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56b2dacc",
   "metadata": {},
   "source": [
    "Further to exploring this notebook you may decide that you would like to explore another more in-depth Linked Art Jupyter notebook, available in the [Linked Art notebook GitHub repository](https://github.com/tgra/Linked-Art).\n",
    "\n",
    "- [JSON-LD Playground](https://json-ld.org/playground/)\n",
    "-  [Linked Art notebook GitHub repository](https://github.com/tgra/Linked-Art)\n",
    "- [Linked Art data model and community](https://linked.art)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5d5cdd4e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "finalized": {
   "timestamp": 1650624919572,
   "trusted": true
  },
  "interpreter": {
   "hash": "5ae89e4d967d29a9008e054a0e5513a4b448c7e95ec190ab799cd425d2aae31b"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}