diff --git a/ChangeLog.md b/ChangeLog.md
index 6a343879..1b50632c 100644
--- a/ChangeLog.md
+++ b/ChangeLog.md
@@ -4,6 +4,8 @@ Starting with v1.31.6, this file will contain a record of major features and upd
## Upcoming
+- New Neptune Analytics notebooks - openCypher over RDF ([Link to PR](https://github.com/aws/graph-notebook/pull/672))
+ - Path: 02-Neptune-Analytics > 04-OpenCypher-Over-RDF
- Added regional S3 bucket mappings to Neptune CloudFormation template ([Link to PR](https://github.com/aws/graph-notebook/pull/664))
- Enabled n-triples data for `%load` with Neptune Analytics ([Link to PR](https://github.com/aws/graph-notebook/pull/671))
- Removed unused options from `%load`([Link to PR](https://github.com/aws/graph-notebook/pull/662))
diff --git a/src/graph_notebook/notebooks/02-Neptune-Analytics/04-OpenCypher-Over-RDF/01-Air-Routes.ipynb b/src/graph_notebook/notebooks/02-Neptune-Analytics/04-OpenCypher-Over-RDF/01-Air-Routes.ipynb
new file mode 100644
index 00000000..18303363
--- /dev/null
+++ b/src/graph_notebook/notebooks/02-Neptune-Analytics/04-OpenCypher-Over-RDF/01-Air-Routes.ipynb
@@ -0,0 +1,554 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "c368bb9d",
+ "metadata": {},
+ "source": [
+ "Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.\n",
+ "SPDX-License-Identifier: Apache-2.0\n",
+ "\n",
+ "# Exploring RDF with openCypher - Air Routes\n",
+ "\n",
+ "[Resource Description Framework (RDF)](https://en.wikipedia.org/wiki/Resource_Description_Framework) is a framework for representing information about resources in a graph form. Unlike traditional databases that store data in tables, RDF structures data as statements of fact called ‘triples,’ consisting of a subject, predicate, and object. This simple yet powerful model allows for the creation of intricate networks of data.\n",
+ "\n",
+ "There are numerous publicly available RDF datasets covering a wide range of fields, including geography, life sciences, cultural heritage, and government data.\n",
+ "\n",
+ "These datasets, along with the considerable amount of RDF embedded within web pages, are collectively known as the [Semantic Web](https://en.wikipedia.org/wiki/Semantic_Web) of [Linked Data](https://en.wikipedia.org/wiki/Linked_data).\n",
+ "\n",
+ "[SPARQL](https://en.wikipedia.org/wiki/SPARQL) is the standard query language for RDF. While powerful, it lacks some useful features, such as path finding.\n",
+ "\n",
+ "[openCypher](https://opencypher.org/) is a popular graph query language that enables intuitive and expressive querying, including path finding and pattern matching. \n",
+ "\n",
+ "[Neptune Analytics](https://docs.aws.amazon.com/neptune-analytics/latest/userguide/what-is-neptune-analytics.html) can run openCypher queries and graph algorithms over RDF data.\n",
+ "\n",
+ "In this notebook, we explore an RDF graph model called Air Routes, which describes airports, airlines, and flight paths around the world. The data originates from the [OpenFlights Airports Database](https://openflights.org/data.php).\n",
+ "\n",
+ "### The Air Routes Ontology (Schema)\n",
+ "\n",
+ "The Air Routes ontology and data used in this notebook are available in a single NTRIPLES file on S3:\n",
+ "[s3://aws-neptune-customer-samples/airroutes-rdf/airroutes.nt](s3://aws-neptune-customer-samples/airroutes-rdf/airroutes.nt)\n",
+ "\n",
+ "In this notebook, we work with a subset of the ontology, shown here:"
+ ]
+ },
+ {
+ "attachments": {
+ "Airroutes%20-%20Copy%20of%20Page%202%20%282%29.png": {
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Hp0IMtpehslj3/e+i/t162G+97H0nbJ9cF71y0qrT9DV42Ofg5c1bPQDE0YO0ljQ0Oa5yto1pNWSsPCV3m3Oz92snecVfNY9e2dNgP+pTIbpz8MA6B6lCAVJjMMU1zZqs7Wu1oe3tByFefeQieS07e/9j4frrZgftzvvET1rVXFWIARp7gXSQTbxpGsTRwNGeEC01tP1Gzs/MOKLWyOz9T7zkFa8br/rACt6U3/8d7rV++wcgziZnU9qnOejqVIjrJ5P87DXzVbXlt38jRCvR+yC9Tbyelm//AMTanYdCpLqKzyMb2gabH61n31rh8fXbqH+0OHnx1Je84p/VX61PiAoVL+r2j+gFks4K3rRX8Rn2m0fvi49yfqbftnxwYfkoAv55vbUG09y3ykT0Asl3h7Y1n2bROykfhPe0Cw+AT7Rnvw8mr6jTJ5zgdRG9QNIRvEEnDaP3BzlBMxNWtetbIa6P3vsEr2Gf6AWSbIiq5hpn9aP32QcrMb6lQ3O7+kU9gYqDBwSvD9ELJNjkLMFb66ReD+cnr4T483dR/2Ax9PO6yfuHf2GuQ/AGXJ0yuAhIKoK3vtoSx9tvhHj6MurfK47eivp+bzy46I4Qp1H/5j2G6AUSa1CIlD2MrUVW9JpPS33xt1ZU0MB7Ix8aJK/wHtc7+VCcMpwo4GqPiSSBRLrLON5GrBKHN4fz8y+F+Jrnlt/M5Nsv/m62bvT+vT6ks2Iv9RNo1Drau25oOYAY6qdxrSGjxPHuayqaO/bu5Y+zXwaj91/a3dXuU/NS15kQd6P+3QDcssn3NK41duQ8sO3FRx6NcFv6f/jxc990Vv+prMC/J8R51L92b9oXgqZeIGEeiz0a1xo7V029L62k+DlTNN+iZ2+fvP5zI3onH4pK1L91rzoVs1H/XABu1V0hUv083mtVxMC/+s+EePpD1L9UArmNv381yQ1gY0etPMADQHwMvRcnUV9YetvFnvjrf/0lFc3d8+7ljx/+hhvAJqrUNwOJ8lhcUtRo7liI//y/iPp3SroBcRD179yCo8PDw0j+73IqhqP+hQDcmn6KGter0MzWbXeFiMOAooqIqP/1oRD3ov6NANyW2d7r1nJRlfYryn61ehb5JfmIyXO7bPK9qEb9K9eoyhPQn7ORJe+bfTEQ9Y8E4JY8EKLnZo08rJlq4XI/4p3kstdlfT3YvepqT557/pHu0SXvBXd/QGIM9OAcGrXJKy+AN7wwH1UqtzA9l3UR5rLXRVaRt/eG8p7bZ57vxDurVqu3XQVjne+tlPdPuPsDEuJeL7auyeTdq7ic6L1hpfhZa5e161Do7aq7PVjkfXNpn3hdvyWotnaKUugFkmK4B4u8KnmNnL06O+3gCnhyO8nLZa+rBnqwlVeehvuyqaPbH3TQ4im6T/dmIBHu9GArb03yWi5U8eNGG6vcTvJy2eume4E63Z4gU/doP4R23b0WT1Hr7m+o82MNIGr3bzZh8+HhYW0d9UXdpVaR1Vpef2mjK1pt8srOxYF6cflxrdw1iJrL2lGDHW3uiMte9wy2NZb34rhaPasZVXt4bi2tc0YcWWsf1+T6oWywPW4W91equHsomj9N5KJ6bJ7G1k6c1+zDxaH1WbWL31ydq/deiFZvDk/tGcQBxNtAW1W49kXosFLb5emq6iy8rF4Za1ul1GP7D5UT8yJ3Xtlz2m69y1HVi9s6yava3NxL3NW+83F7+4GPM/516iz0tRK77zxtu+76kufFdMvk+5bGlFfUT3ykf3uz41z1UveCd5fKE+rMXfvUzLZjvbY48E5LESjdyv5VJ/aJd+Xfh0O9ebtcLNyzr1p7Wr+5OtGftefbtcM36g/GKXp9+p7T2QBIgDYr+VSAnblXCu8Z5kenonapuq7UW/ui4q3tJf81yVsxLk2Hl977Lw/Nj/NdRt/UJu/hnrfkoM36zSqzaXTLA7HXyi8gz4GjI+8ndCc9vTLPqBP397LOmAtvbbfkerVvrL3nhm0weS/tWpaqv4eBL3kP7VTV51vV26obvea56t6sqvfaa7eVvBdMIQkkwP32JuyTAXasUtR/LTsTJn3Vka/VZdK59pw6NbzOpfPSKffqPWghec+8NeX2Tn3Z3Urynvh29LS9Ju4Lqpu7ZbC1fn7yHDjeU/3e7d/eOaOceN1zusFXrtzT5ESud+qcac5nXNnvrZwc2CemLm0Hklee6Kf2z272sfIlrzPsyHnzmdqHU9//CY7tfx2cVMzbz6qztnxvpXKp/t/Q0uC3Cs9NAOJvtr3+wvIKsSdOVdvUqXflsyccOL/SpYk970q2Jy6PrZUOD4wrn7wG7akWNtV9xczTJsm7514XL9QlTL0+VHthX81O6yWvvS23rCz0R9vF7jbbuC/p3dwlA6KlIdfqzHFKqTKB9Rm1755ddt1y1T2h9I3ZkXG6Vr3bNXUW61gNJO+BPjUPfMt9yWu9fd/urmDcy12dGzeUl14Kn/l3zXtvtaXyrvNGuvkBcTfZZs9mX43Zpf8S51w6VeXambe2vvffdxP50KyMMwZtyF4oeiO1yXvuFWn3vbKDXX6x92Lv+uQ9MAsje6LdTqv7YjDqXyyZhlocVK5iVT/e48w9oy7M+pfzPX1G2cnrnFKqWKziVt0n6qBX548+63zPQpAbtYcYnwmzj5Uveb3//5glWvtP7nsv9Tpnwr9rurDdRvJaZ3PUPxaADt1rrXnNF2fuhAdVfUHyXcrUv069i5GbbW4iXwqz3exS1HlgQ03yXp3tucWIC6Oa0bxAimuT90L4GuCEaHMs8xn9W7rjQYtDZivCDM09HW/7vl+yqtdR8Xbi/XhO7FV9lR1eGgZUvY26H6T34bB288J3Vp6aJ7tXnD/17dq++VGtDnwToj/qXwtAZ/ranBfKd61x4/Hcn5NVfWkSvovavhOdh8K8jqmW15q25kDyHu3vGRc2/5XTC/Lrk/fEn7UV0eb8XUcUOLqjr8XuBhXfGVUxTzSv7uZKn1FV3/IL/a+K787vyv9m/3l14Z265zWfWvWdyP7Gi5P6J7v7/5SqL6fbSd4KLR5A3A22OceErxB7qMMtcOFwo86X06pwUXH+a1xnj+qVOXyzR7qdU8+8S5/ROn2iP+X65DU6aen9bu/5iBQ4uuNxi+dhxXfuVJzf78LrWuAu17+vsVwPSxP+G67ASaEdGzd/vnPUl7zemSt8Z6V+97n/Xu9I75F/19pJ3gO6WAFxN9zmhIy+O/grHW4Vf4K5tbj+HiuHTqEgeJnxB6a3bpA7+iPQPqsTvYXkPfUXb87auODpDfCE1G4Ybq2DlW9kmfcvdWYdek6ds9TosqdXP3SmZDG2eVL/LPAF8qlxyvmS10vV9k72qu8Wop3kpYsVEHvtdjHyFyLM5A1wo9Db/oWz+kGdi1HNbEQ1sbt/5qvXO/SvWyd53Z7ORvLWyfP2kpcxHd3R6nnov8fTyXte53fVXYYDyXtuVNW4UVbvLFDlaPeUM4uuvuT13ug/K/VdaUXUP9n9720neY9JXiDubpC8Fd+/RINAq5O8b5pcjIJ7Ia+Ol1XHge8iWFNIbpC8bk9nL3kvOk7eKsnbFa2eh/45lPWZVK3zu+rkNap6ncJtsPeeGvVb80kn5hlYPTFuD1tKXvNkN4vz5q7dLHkPmc4FiLt2p6m/reStdzHyX17MD7r0Vc3VS97L2uV1apvr1WG317mZ5O2OVp+FURXtJm/V/+YGyVt7FuzVbvLc+9RIk5defkDMtfv0n8bJe37oc9T4YhRsV7s+eVViepWMRqdT37rXJq+qAjyss6Mtq4rHUf9kiXTz5D1/U1Or7Fs7UNt8Vtsfq27sndUGr+5N5Z/DqtFp7Jx+9dp5L96QvECaDd1e8h7WX9tYLnu2tNPDyvigE199c0XUTPJXm7xXdZK34Y62jO4tXTF58+St057rW7u2h1XwhKvbw0que1oxeN36Wirz6hO4WQ8rkhdIqY6T91Jfi6r11zaKqvpidOhvV7tqIXmvvGk03tiNfUZXarebqG9Dh/WSt/1ZqwIo83ZHZ8l7GCjFmmsbA791B+VTce2oogshAkO9vaHgTZLX24x5su/7t7tX+16SF0iVG7Tz+it03ccQ7DdY21t+blyMjOvkmahTYAm2xR2bIR5omHP7SvtmGjqvl7yVNq5wddHO2x2tnof1k7fRZBj+6Squ9L9amEljXwSnd1FZfGV+ap3k9Y8T0jNpGCe7byYNkhdIqRv0ba6TvIf+EsLx+YW3tnfZcSeg988XeVDvqlMze2TFqG/2X828K6evFvrSl7xOGfvMfx08PmtrBqs3JG+3tHoeuhNDuifFoX7h3YtdVJxn0BtPRnjjPXpInQXNZ49UdSyBOVZO9baaJK9/isnj2pPdN3ukP3lru1fXd0iDBxB3t5O8/iuffAbg5YV7MTo3FnuTyLulgyPhHzKkLy+B5FXz3euLk6/Qcu5uzSx620M83W3tGQ95qL0Ut47xvN3xsI3k9c+kod53YZZb1TMQTvTa7jzdxqMRzLmU6z4xoV4au8uaJa8+/Y7dWzwV81fBbQTee173/wT1nZO8QNzdZA4r37+cx80bV50rbwyQ3SX0LLj4yni8m8rjqndZbfiUwHOjB8uh0aZm1CiqEu2ht7azq2rOoqp36dOvzY9uFXNYdUer52GD5H1jPGzyYt+NMXu0kRO9+16Z9Mw4Les+JdDNbsOV7iTQLHmd0/rIOMMvveg1Ptf/XvMUvf4Q8LwsIOZuMm+z719OPKrL2uX+2bF6ELnYs6NQXX+sdarHZ/vGY0rtK6Jcu6q6jO4Zj1Zr/HxedYk0JjMQpyfHZ/bH6ZKGqmHer57vW0vPvaf1qs+oVCp6K9Y7z+wdcjfY+vdn3uZuGGyxsrVR8qoqEXF5ULV/ViPeDuSTs/arFV/9i32SWmvbi4/dX9fe3lFN/yp9ju+/aZq8J/JEq/r+P2B3UbBOuWpF7dppvS/ijh5u4RBQ7QLE3k2eVeT7l367bzIDnbBq5vrTmsXWzb85T0HlwthG4+RVl0N9fd43P869gh17y/bdafPtlmS941e+d562Gbw8q6hLWj0PGyXvm6sD42fdM+pDqkfeueY9yNI8C07d01In776oN0rpyCk0N0le47z0TvajS+PDTup+EdVQ0mLyUu0CxN5Nns/r+5d7gTr0ri/7Os9U+F1Vaq5F1tXIy2N/P5PGyWtfnXRzoJfdl+bQXr10/42RvPo6G1hH7J20Gbw8n7db+ls8Dxsm75s35/p33du/8K2tk+/UHDp05p6uxkngnGD+x017nE4CDZLXrmPREXpgFJm9uwLvXA32Zj5pNXmvhBiK+tcC0JnJ+o8mbUj2QfH9y0zTs2qlUqmee1cyJ/yOrOUH54HPOTq2lp6cHxrhd+Ft76rO7FJy2aF3QTs8P7E+7czfM+eiai3cr8q1joxdPa4eHFTdHqaHZ9ZKB9XWno7js08bW5e02NXvwncKHOkeUfoEkVMsG0t0vB1Zi4+Dd1lq7UNfnbLTw+rKf5YHP9z9VP/OOCf71ZncbPCt1tlePT+s3ZZ/jcMWutpz8wckwGybXazaUmnpLj5GLnkqeZcMdzbOur52hsl2LKSTnZs/IAHuByYMiOPFKDQX1PR1S1+747takcTk5eYPSIB77c5i1YMXo9BUeUBbt9yp05n4Fn6vxCXvETd/QBIMdLG6OWnJeynuRv1zJVY3zsMEJu8+82gASXC/G9V8oV6MQkN5o4u6cR4mMHn3qGwGkuBOm72be+9iFBrKG1001OFTpOpJXvKeCTEZ9S8F4BYM133MUHwuRqG5EJQ3umj49vv6JS95T+nZDCTDvW70bQnxYhSafUZSdlP/7Z+HZ5VK5Qajtm/mxJmftJsOae8AkmKge4XeJLmiia27ZjkPr1MRj6P+lQDcjgddbOlNEIq8XcZ5eJ1jHtgBJMdsm49NSKUjWnm7bZjzsLlLirxAcvR7z0lDIxVm0eg2zsPmzmnlBZLkcdvPqU2dYyF+iPpnSjzOw2Yu9ngyL5AkQ+9bfDB5allXvf/yv/rwLOofKsme/fDjh/+a87CxihhgLC+QJHep52vOuur9N/+tePUk6h8qmfpf/jj7pRD/3c84Dxs7p3sVkDSPxR71fI2pq97bb4T4+l3Uv1TCOKEr/eGd7GTFeVjf0Z64H/WPBeB2Tb7v4vTNsXck7Kvex1dCfHwR9W+VFO9e/lGHrvLbjDoP6d9cz9Updc1A8vQL5jFo5GpPzNpXvc++FuJ7elp17N0XfzcrAp6rv9wTNPXWcyDe34n6VwNw6+4KEdpEezFzKt67ozn+e6uURk+rDtQLXel3zt/7OA/rOGc0OZBMg114WEwi7Pu6trz4WyFe/TTqHyumvvgH0cA/uus8FntMZRVwJnhSApBMk7Nc8urZDxY3VE+rn0X9c8XS20bB+7feOpyHNQ4F07gAScUlr54TUTN/wSQ9rW7q5/WD97W5zuSA2OvW07Ni6cjtZwAgeYYeEr1B9ev5+r8W4unLqH+vGOq/PngzmTvvxSlji1wEL5Bs1iWP6PU5adTAJnta/fm7qH+w+Pm2TvD+dXAlGb2chw4reB/SrRlIMqLXb79xz5YXH63M+Ipezm169vua4P2r2gId56GL4AWS7w4Vzob9pl1K+38uxKsn1AO252MweD+p12BO9DoOCV4gBazoZTyl7ergurEcP3zPxBrtmnzaQvDa0csgN9nNYJYnAwLJNzkrRDXqC04vuDoV1z+V7ckrIb5mIvs2fPY/+IL3Xzaqr78zyy3gm6qgcxWQDpOPhdina+nRXkvTBj2TXYZ+zQijFsnD9QcjeP++8V2LvAVM90SSV/tCPCZ4gZQYFHQtPRetTpT77mshvnwe9W8WCy9+lFUE/6MXvH/RbEKSSes8rKT4FvDilJmrgDR5IMReqp+TKksbrbevvXwqxDe/jfpH63kvPn5p5e5bYzqNv7hmJrA+keJ+VsetVboASIw7A6mu6TuSpY02qvnUpFYf3kb9q/W0Zz/K3FX3J3o6jT/8i+vedO+9EOdRnw3RqAoxQKdmIF1kY29qa5xlTXObpY1nv7aS5OvfRP2z9azPfv1K567lK/O5gE0Nzaazxlne+w3TxAukTp9IaR/ni4oQs+2XNj6TcfLVZ1H/bD2p/7V1bD54w6/s6TR+18pbJ++nseXjfK+FfvUAEkgO66ikb+Z6edG7f6MDRvbW904dF19d/MdWg9fS/1CIg1QVe+W9HzXNQFrdT1+x90he9G48Pvc3clYrhhj5vP1aPhIhcEhfPBX/vOUtyJaPNBV71b0fNc1AavUPCHGZppmEqqLDi57MmVc8QND1W3k8vq2tB3j+z9rZyoP36al+kS28N7/3A5AEsrV3PyXXvDfHl0LMdnrRe/tBiC/JXuX59/I+5BaeKqGKvdUUVDlfnXR67wcgAYaGU3LNUxXN72+jW0ujcl7KvPjiOyGe3tY9iKp+SXyVs6xovkHvPgCJ80Be8xI/g66cO0M8vqXJ6X+r2jZTPcbo3etXQnz3xe2V3ib7ZJVzoge6HZ5a9353o/7lAPQEdc07TXRz71V17xYqmg2qX9GHtD7GaPL5B/n1b3lKzaHBRDd9HFaoaAZgkDPoikpis1fl7sNbnqnvN3IszTdpnM/5s2+t4u6r1+9uf8v9w4nN3gtZ5zLMAwEBGIaSm7127vbdfmFDje99+iRlna1efq6+9S10q6rn3kAis9fOXXo0AwhQ5Y3kZa/K3fddyF3pmZwz8dWv09PZ6tlH+dz7Dy+7+BEPkpe9RzJ3GUkEoB6Vvcnqa3Vx0sXcldTzeQITOCXWD3KSyFdfdTtCEpa9qn13gKcSAWigX9Y5XyZmjNGhLGt0o57Z9OL5N6rBN+ldZz57Iou7T78Io3JdZW8lEWOMzk6tr/I/Ud4F0IRq793bT8LgjjO7rBFCIr6VZcEvPya40nnyuWzdFZ+H1pn7nqp/OY/5PeBV9VIetf/530T9+wHocZN9D2WB4yzeFz1VzSyG74V00J79KAuE3eju2wvU2F3x9Emotxb9sb8HVFUuYnDo/v/yv0b9CwLofQ+GY37RU8Xd94OhThb0clY+wfd54no627XMrz59F/onD92X94Cn8bwHvDqXxd0B2dTx4pVI68BvAO24M/heXvTO49jN5WhfFncH7obe8Nr/7Yev//zffkjU1Fb/6sP7r7/++pfd7MzcjHMPGLsW3+MDYVS5vBavo/4dAcTC5ANZhhMHMStxXKiWtfeDdGlJiDv3/zfZ4nsSowoY59bvvjttxjshujT8GUDiDN0fiFf4XpyfqqJGGL2qEJbZ//3/EPEJ36OTS9W66+th8I34GPVRBBAf/YMP4xK+R3bszt5N2gx9hXy+eIP3ZNv+oGw+n4/6y9bqF//n5OTd2ViErxO7j4O3fr8TT6M+jABi5Z4dvpWebvM9tC95s31Ji91M6pP3ifhc/mdIh2+vtvleHatK5rq3fpOvRFQt5QDiygnfHr3qXZwd7CWztGtrJ3lXszn9ntaTN5e11+3N5P1E6KdSOOG7d3DWczeBR+eqS5V43OAc/Na+fQCAdty5r656VtG3pyr8ro7twm7DS14CtJO8OnBXs04Et2LDCVwrgdsvKHdbv6930tCDx8K5CeyZ9o+rs311Dj583Lh/gfUtEjzPCoDuGbr7+KFd5uiN9LVSV7XsioHBsCbMiEQbybt6k0rmzE4vFnW1JzWlxXt2xz9x2gPp656Ds/eb96b/QB8rADfV32cXffcq1cMoL3sXZ84V72GCC7uONpJ390bJu93LyfuJ+KJ2ob4JtNI3uprnI6esa935Pbj2HHxOHysAHZi851Q8i9P98wgeKnh1WLXbdWXqhjpLVSNOLe3a7lZxd81bvFouForlNf9K2eJW0QzHbNlasJE1N6WriVd3N3fKOV/y5rLFzZ0N8/1r5WKxWLbfks1u5fO72eyaW9u8pv6Rye5Yn+HVPq/tFjfdXbU+MW/ltVzfqG3OZXet95RX9Tuc7RR92wlDf8OhsHd0+u4dhH4XeHFcrbR5Dj51m6sB4EYm+/uGH4YfvxdW6NrFDKuc0RupK6meSRvream04SzMFfK27TVjJXtRyU00vVIp623KfpnbtP9SyHnJW9Rrl/X7nZXyBblF57Vc2+lhVZT/2PHtRya3pdfbzDmfqGSNHlblkrNwK6c/uJDZsReur2ZC9Kn4eZO/3rk7aNc8i8uD6nEopd8jN3TFbAtlXddH8SHM4wYgoe48GHQKv+KyUj3rav5eHJ6fVJwPezjcd6+npsqQibVa8hJMLXP/7aSqXGnDXWTnsx1wdmTvuptSq+e29Z+2t53ktRe54Srfn3ffv55rlLw6nPPrGW8r9t5tZeon7463XfsmQSavt/Nhlnqf1qts9pm8594Fisp+9bBr+Wvd9+275+Djvv72zsHPhGBeNQC3o//u/WHnaiT2KifVw1sO4KvDs+qBvt6p0O29Zt2sirLd1UxZFicLapmMLWtJrqijyl6puJpZ23BTcF0WX60/ZmUarulNqeSVK23KauNtN2hlhG5nc3Zeq+jekgusMC1bK+3IBe5gIi95S/n1ci63u643vGu92LF2TC0p68/MmC+yeb3dkvN11HZK5bXcxrb+7HD8rMV5F4es+B3QZ8npQfX8NgP46PC8WjnVWx+wQvcm5+Dn4tvwjhuA5LOue4918VcGcKVaPe7w0ndkJe6Jd7mzMvf+3TZLGaHJemXWHSe8NtyAWl23/6ZWshdtOJlXdOudZUF0U73Q7bzbdonUKaMWrRdrMg/V32RFtAzEnCxr2x9SsrdYJ3lVaTijCsSbzobt2M/oz6xJ3oL+INlX2t2Os6vb+t4iFJ+2Mw52Ut4GPnRPmcvKQdW6E7zxeXhxeFi17vr23A0ODPc9uHm59bfiVY+evwBibKi/7/6wF8Cy8k9msHXxO2xtFJK14nHVylsjcOUszI+t611PX7NUcdZ+ueGE4bpTCM2oQua6s9K2s8jJvJITfc77jM5ZKvJWvT8VM6rI64SoCuFVtUndYrzqC1xf8jr7UdDF1+Jm2d1wQe9+xnhhfLYsVW8527FvBORulMI7tDfpl9T/oO+xEcDueXhunV/Na2Su5Brntafgw+HBvnsd1xXTxwpA1wxZV77B4WFRwyoLK/tVz4GzrHbth8PDfdblrqcj15HzcmnNLiTm8t7wnlU3Jp1ysSoZy8wzEs58g1T28i3nJG/BC3MZ7EX7w0q+/k71ktfJ2WLNBFVm5bK5YNctFbuvi14d826YE139TIgbP+/4Tv9d6zycFfVcVgIu6642bCXu3f7b6sn3hD5WALpuqL+/r69veNhrgLvWrLzWWRe7WASux2j7tBNUZlg56/AW6Wy188w3WWPJjUilaNTpOj2sZDFab9Lp7iwroku7RvbWa+d1/lQ2Py27USyqrlfqH4HkNT/bW6SL5KFOMfmp+EXnG7HOw7t98mawlRNxwFrtfl/fg/4bteU29UyId6EdOQCQbXDSg7567qm/Rb2HHbDCKOe93NCdjj2B5LXTy5dhgekyzPRz/hTYpKyndjpUl7bK3qrB5C34PtOS21n3tuL7i/Niy6sEV4tyajvbwe2EoRsVtEP9nnvG6+7f7b0Wr7v9EQCQFkYY2VXDxUBMbtiJpVty7fQqNknerZrkXQtsUv15bddJ0fVizln1uuQt69yVo5XqJq+5K04teL0ED0Enlc096K14laSvAwBR8idv1ukVZahb5i03Sd6dumXeTWOTuno7u7PtloFbSN6cWletVG6cvG6DsnO/UI4meW+lsrmHfEMfKwC4JTXJWyeezOQt36Sd1+ihFbC269Rot5C8Za9bVzHfcjtvNprkTVpv4Ofim6h3AQASoiZ51/I1jy7Iet2MnWzLGfXPwb7NRv9io29zsdEO7HjrNEle2dlq02uxbdTDatdbRRbeS5mokjdhlc2ZzItX9LECgNtRk7yyCOvW2NpFzKw39EjmojOet+gsCY7nzdaO590yBvusOhNduGHtjNZtnrzOGs5nrjXqYbVq7IvT3hxN8n6bsMpm+lgBwK0xBuZ6kz7p6Y2L+ZIMYTWHlb1ozZvDSs+NUTD6EytudLtzWK16Y5dWS/nCmjmYKbfulnk39fYaJq+T35t6h9x6cB2q6+7OrDkfEU3yfp+wyuZM5jctToYJALiGUVXsvMyV9EN9dr3wcua9kFmqRtnKlexpGjdr5m3ecZp17ScLFfVKKmlXnWiUC+wHBO44Wb6lt9MwefWcGGvb+W3nTbl8YDKrDd1hS45aWjfebK7UfT9JWmWz5YN4EvUuAEAi1Cav/TzA9S3veQcysWQjq73Im8A5v72pHhVol3Dd5F1TQ3UL6/IdzhbW5HigUmGrpCdwdtbZUe9XNdm7epRuw+RV71nfkttV3Zy3N+wJOeRnuKGq0r6g9rRUNt6s9zCco5q8ymbZx+pp1LsAAIlQJ3mdhwy5433sxNJP7HOHBOlnCeon7no9oPVjB0u5om6a9Z6s61RSG88NLOSMBU2SN7PhbNfK7g3ntmAjmLzeeGTv4cLr3nZCSt7vxcvQfsGwTL4SP0S9DwCQBMVica3mZW6jWFjfLuz4Zl3MFrfWt4z5HnMbO4X1ws6ufvua9/613c3t7Z1yznpP0Z0Duri1vV7Y8sYfrW4WSlY5eNPtI10sFLaKVpjam8l6437X9Ms1a7e27A/M7hR2svZWCptZ9eF6u9aHrxeKZWO3al92108S+Wyfb+ljBQBhCXXWxST4VPwy6l3ogs/oYwUAYSF52/RdAiubLZ+Lj1HvAgCkBMnbnmRWNmcyL+ljBQAhIXnbk8zK5oycEjORZXkA6D1rJG9bElrZnMl8FJ9HvQsAkBIkbzuSWtmcyTwT4rOo9wEA0iGs0TjJkNjKZjl5M32sAAA9J7GVzZnMD/SxAgD0nORWNmeS99hhAEACfJrkqZ6eiA9R7wIAAH4JrmzOZF68Ev1R7wMAAKYfxJfJrWzOZL7iWYEAgN7yWnwV9S5000vxSdS7AACA6VWSK5vVswKpbgYA9JBfJbuyWZbpqW4GAPSQ10nu2Sz9iiG9AIBe8kr8Kupd6Po3/FnUuwAAgPYr8SrqXei21+LTqHcBAAAt8ZXNVDcDAHpK8iub5Xf8SdS7AACA7V3yK5tluf7bqHcBAABbKh4d/yvxXdS7AACA7UMqHuVDdTMAoEe8EKmY4InezQCAHvEyHfWwP6ShNRsAEAe/TElh8LsU9OAGAMTB02Q/LcH1afJHLQMA4qBfiBdR70MofkJ1MwCgFzwRH6LehZB8l5LCPQCgt/1C/DTqXQjJp+KrqHcBAIBJId5FvQ8h+Yl4leynEAMA4iBNg23+6Z+eRb0LAIDU+1T8MupdAAAgRT4RX0S9CwAApEiaa2Bz2WzW/Peq9e+c9zJgzXvTatR7DgBAHGXz+bzxz1zJ+veu/bqQr1G0/1K0Xpai3nMAAOIokLwbMl/X7deNk3ddvt6IetcBALG1Gqg7zWXLxXKd6tT6daxr1tpFf5VtjASSd9sqzObz9pfZKNqsnF13Xtp/KKuVClHvOgAgtgq+GNnQZb313TXfarI8WMoF3ltc1+XBQizD15+81r/Wd/L5zSaHx16wa71trZXtAwBQy4yW1XWzdnU3sFqwjjXrW3sr1+IHdmg1UMLOuV2fzF3L5oIr1esU5U/ezXx+Z81a4ntrMHnVCnLNcL4tACB5jGix2zkLxXLRLswapb81la7b5ht35JJSobhR3FSxXOpusbcoG1rLWyXfjuU2S3aRu+yutJkpq91Z3wmutL7rbcr+yr7kzeVlTXOh9o7Dl7zWt96S76OPFQDghrxoKcv41MXasr+MK2thrfwyCo4bRqejzNp2vcroWyXjctWt3LaXGWX0XXelDb3IyedsKVgur5+8u6p31Ybbxyp4eGwldVTW6WMFAOmylrtugVx27bsUN1pWrVDZ9qLV37ArU3fTLAXn1v2lXDnWpqs1sNYHrJfymxt2S7T6ZFUQ3ylu7Jb0TYBcydrL3ezOul4kVyoVy9mNLTeM6yfvuorvnNvHKnB43KNSMrcAAEi2nUJhNVPekQXMLTcj11Rl7/qWriQtyJV2t6wg2d5Z869UKmzmvLXsUpsbLVt5f+ZYQbul369KgqtmFBeDzb6FLnc7KrqF8LWSE6Gbekluy9k1b6XctlN4tVYqreovZO9htli0d91M3qzz101/H6tA8hbsv67RxwoA0sG67md1ZaoucJbdytRtOxZlgG7qlVaDK607S9yqYh0tuXywHGf0bi6oAq1Zxxps9VXJtdXF7170tu/s8prRC8zZtaJXySyry1ftlfRObwc7LpvJu+lsPuvvY+VP3rW8U+NeoI8VAKSCLHFZSVDc8to6VXtsYaeoGlpVVMqEkivteG2vMq3XN3d3Vf8kO7Frknc3UOQ1rdpFvF0vbWU+lf0rbQVaSG9Z0cvZoh2YZX9uFpy/6N0qqW9YNoJ0N7iHRvKuue9c9/Wx8ifvpj4CG/SxAoBUKOhibG5HF77WdZmuWHKy1CvrujXC67pALNty7YJjTW3zjn9WCZ9Nr5DpFJmLwdE39qIu1sAam3cit2gUu8t2qBaNL1FQx8Nskc0Gv6KxoOimsj+ffcmbK7kF6BJ9rAAgDQpuuU/XtG54lallpxiW98p9BTubNryYzNbEo46WQrD62OMGzpZbXVuszelyk0LzLfCiUQembMEtOLbdMHaLonaT7E4geX23C0byrrsdtdd838OXvBteS/cmfawAIA2MXkwlu6GxYDSuOiFsTOi/YSeLuVLJGwrkbrNg/rcOt2q17CbPVu3a2a4nr/7ErPu1fPwrOZnra5AN7qGXvPK2YdObMNJrDvYdFivft52VNrtbwgcA9AajXOokwrYRpHb1asYIDqd62Jwdomb6JSN5G3WQ2nbf49ax1snpXATJ65Z5pcx1yZtrnLxbgRR3i8a+Kb4CK9HHCgASz4gRJxFkF2OdPE6FacEIYztqzMAp1pmH+Joy76pXvNvR0b9Z250q9DLvTu0eB2qbd1pt510LZKp3p2Iels3ASvSxAoDEM0LVToRcIAu2MjdO3p2GSSLbU406VrfzVmC17rfzBpK3WDd5b9TDSiZ21mX20jaSVzZ377grlfP0sQKA5KtJ3mBZrZC5cfLuNurbnCv5P2NTrx1o5qzT3fk21SbvRv190F+1pEquZq+qnXpjkPW6RtXxqrEVI3l3/V9wiz5WAJB8NcmbqVPOvGHyrtaU4XJ2zOzWq2NdzQd7ajXrHH0bapM3Z/QW29neWc3UzKQhc9lYaT24zzp5N/K+KanNKTeM5F33T8RRztPHCgASz5+8spRWEya+lXJ2omwbmdr4AbTrwabb7VIxZy/f8mpidT6Xgk9IyNZm8a3yJ2/JWeR8sQ1nJJUxe+S602PMW2nTnVikUNhx99k5Br6bBmMYlpe8NZOHlOhjBQCJ50/eYsadRziwko6RstsJ2F2pJqrdaNkIFHqdWZEDHaf0ONaNYNBa21nv5sOKasu8dj34VtGeyHrXWWm9pBat65y0V9otq1m+iv5NORtaCxb3c14fKy95azqV7dDHCgASrzZ5zcbVzaKeUjjQFdmY6nC1pnrai5aC8ZBAO1rlmwOB49axerN6SPKZBd3tcFQnee1PNVqf1UplvcjZHfnsBKeefDewKa+TdOAJh96Xdg9PrqZMv9btrwwAiFxt8soSnfPU2R1n4mYZid5ckXr2SDuZZArZQVIsFrN6Q0Z1at55mFFOTkYpa6pz+cCj4tedOla1dsGJePWg3O72NyrrKmLr0+zBu9JGQfX/cmbCtDO1vCkrzje9muGiWmnbfbyTW9vsbGirUCj6Pyxr/cH+ajt63bK7yLVZ8z4AQMLUJq9dNN1dXd3dynuP0VmXi7K7blus7CS1tWEt2c43fGKCXE2l2PpWcUdFlZr8OdCh1xgyu6HWLhWstfNmCoctl/X2T5dm11YDK9UsAACgBXWS1+x67E4vVdYVrCXjAQfOEqcoWC95M6vb3sac5wmuB6e28upY18zpG0u7mR7AE+sBALeqXvJmVp3Gzm3vMQnZnKxwtVLILellnUx1n3VfN3mt6NLZ69TflvP1ngbo1vW6Cb/ZG+NrSF4AQChWyxtZN2QLdoXy2kZgoO/qRraVeFzLZovZlutmc9nsbrn11buN5AUAhK/Q1UkcexvJCwAIH8kLAECYCoFhQGmy4Q09AgAgJIXuzuIIAAB8SF4AAMJE8gIAAAAAAAAAAAAAkua34uuodwEAgBR5J0TUuwAAQIpMCtEf9T4AAFLmw2zUexClT8TbqHcBAJAuQ+LLqHchSh/Ek6h3AQCQLm/F51HvQpT+KP4u6l0AAKTLF+J11LsQ7ddPdWU7ACB8fxI/Rr0LUXornka9CwCAdPlcvIx6F6I0KcRk1PsAAEiV2ZR37n0q3kW9CwCAVBFiKOpdiNSs+CHqXQAApEraJ3H6lGFFAIAw/aX4d1HvQrT+JP4U9S4AANLkbdpH1fyZ+CrqXQAApEnKJ9LIZH4Q/xD1LgAA0uQfxc+j3oVovRWfRL0LAIA0+aP4Y9S7EK2/THsXMwBAuP6Y+g5GTKUBAAjTz8WfRb0LEft3KZ9KBAAQrs9TP5HEP5C8AIAQpX3ySJm8/xj1LgAAUkSkftriT1Pf0g0ACBP9i/4kPo16FwAA6cGYmszHtM/iBQAI09u0T9vMJFYAgFARO9bNR+qL/QCA8PwZyfsbkhcAEJ4/8aSejBC/iXoXAACp8WPap23OyORN+5BmAEB4PpC8mdnUT+MFAAjP50zgZB2Df4p6FwAAqfGBmtbMP6T+oREAgPB8TfJmfi5+HfUuAABSg+SllxkAIExfp/6BCXJkFY9MAAB01+Qf//THX//jP/3w9u3/Jf7vt7/pj3p/ojPU//btvxf//u3bf/PHX3/805+oAAAAdMdTUePv0/bMoue1x0D8KuqdAgAk1Ke1ofM66n0K24s/1B6EtN19AADC8kNt6LyMep9C97rmGPwi6l0CACTWl8HQ+X3UexS+lzXJ+9OodwkAkFi/DIbOp1HvUQR+HzwIKe5qBgDospruRT+Jeo8iEGztfhr1DgEAkutZIHS+j3qHovCOcj8AIDQfCJ1M5m8YUwQACMsTWjhrDgJjigAA3dPvy5xPot6dXjgIn0e9OwCARPNNY/Uk6r2JyCeMKQIAhMXXsfezqPcmIr4u3umscQcAhMWcxupD1DsTFbOLN2OKAADdZUxj9TzqfYnML9LevRsAEB5jGqtnUe9LZIwZJBlTBADoLq+NM8UPCpj0HljEmCIAQHc9o7I5YzywiDFFAIBu09NY/T7NpT23oxljigAA3aZncPoq6h2JlJ5BkjFFAIBu66drUcYd18yYIgBA932nMue7qHcjWv2MKQIAhOVTMsfyjToKP0S9GwCAFPiVypx3Ue9GxFRz96s09zIDAIRl8vc0cGYynzGmCAAQFjl34seodyJyn6d8SDMAIDxfMJomY0/mxVEAAIThmRDfRL0P0XvxB/FJ1PsAAEiJT5i6KSNnkEx7/24AQFieiM+i3oUe8JIxRQCAkPzs/4l6D3rCv2VMEQAgaOhuXzf8v13Zqu1e/+0H2r2u7On/18WjcLf/TtTnDgCgbXfuD4hYenybfYYnHzyO+vvczEAfZWoAiJVJFTgjo2PxMjEid3v41kLn3kNrcwsT41F/r/asTCxYu/3wQdQnEQCgdTJxRqamH8XQ/IQVOrdU2Tpsxe7KTNTf6CYWx6zwHYz6NAIAtOrOQ7EQy8BR5hfEw6HbOAyDQowuRv1tbmpxRYj7UZ9IAIDWDD0UI7FNHMvSghi+hcNwX4jlqL9KJ1aYJgsA4mJQLMSyotk1L0TnjZxDQoxH/UU6MyEGoj6VAACtmHwY77LeI1nce9zxYegTc1F/jQ5NC8HoIgCIg7tiIerM6NSSEB33b34opqL+Gp0apaUXAGLhcdxrWS0LHVc33xEizm3dyhTVzQAQC8Oxr2y+jerm/thXNlPdDABxIcR81JHRsZmOezf3iYmov0TnRujdDABxIES8ezZL80J0eBT6xErUX6JzE6Iv6rMJAHA9IaIOjM7dRvKORf0lOkfyAkAskLwSyQsACAvJK5G8AICwkLwSyQsACAvJK5G8AICwkLwSyQsACAvJK5G8AICwkLwSyQsACAvJK5G8AICwkLwSyQsACAvJK5G8AICw3Fbyjo2N3XQC6OWbv9XWO8k7PzZ200c/Td/8rQ6SFwBi4baSV9R76NHizNjoxMT4cvPHIU10+ryk3kneMVHvoUdLU+MTE6Nj803vL+ZFp89LInkBIBa6mLzTK0Kbm2ry4PmEJ+/ynHsYVpp8T5IXAFKie8k7L0wjTvQu1KZsgmqb6yTvhO8wOBXKU7UpS20zAKRE15J3acFaNDo1/2hxZlyW+kbsfOm0fFtPLyevLPfPjc9MP1qaGpXRO+Ms7bB8Ww/JCwCx0LXklZEz6rxeHNHFvZmUJe+0TNsl5x/LMoXVqxGSFwBS6wbJu+T716LdcagmeSeEWHAbd2UBeNSJJnO1pTq9jqYDy5aaNBHbIknexcBezjtfzx+pssrd2/SKjmH/aovzde5GAssWlx5dh+QFgFhonLxzXjzM62rSedVquTC6rNNQVSTPrSy5yTuh32UtGPc2NjO/ZC9TxuxuVUv2yk4PqzG5fGZlTphhNTNqZfbI2LRcqWE4djN5l41bigmnznxxbEE1XY/rNFxSh2Viyk3eef0ua4Hw7hwWl+cX7WWK061Kbm3e7WElly+OqQ2O6O0vjo9YR31lWW2X5AWAeGt8JV+yrvJT9oV/zi6xTnu9hex65EXde3lhqSZ5J3TNqiGQvHJz/uRd0ms4oT3lbn/C7Z0UbvI+GrW+x6K7MzILpxbcw2BH47xesFKTvPOidr8Dyat6ovmTd1R/bbtcPT3i9o2uc1BJXgCIlyZlqDF96R9zKo7HZcFran5KlkNVEXhclfTmp1bEQk3yjvkLvfaysTkZT2Pzaj1rjZGJcTN55xbE6NSUyhn9wWJubH5qQoyMNGkg7mryLi4430O+kGstytLo2MyMLIfaRWCZkeMzM9aXWwgmrwzSuUBF8fzYivxaY2N28k6IhYmJJTN5R8Tc+PKKPKQr+oPFyvLM+IJYaTb0iOQFgFho1s47YZdtl3Rd85wuBC87maxbb1WdrB014xMTdt6q4uvITO0m5/WLhYV5c9mYO+pmSYf2nB6NtOJuP/TkVSkqs3PUCdplXQiW/cbkbuqysN2RTCXj0oQM00f2u6zAnq7Z5IR+YcXpornMHYKlKhQWnYNrH5cFQfICQOw1S95pu2zrBIzZyDiuhuAue42YI7XJuOzUS4/NTJvp4CWvroY1knfU3dqE84HOe+eiS15Zsh9RvbLtGgCvxXlpRQ3BnXML9zO1ybho1xTPjU/N+3bYTV5dfWwm75K7tXn7A1e8Q0ryAkDMNe3bLMu2i1O6jLck3AhwI0nnwFSdZPQmb5pbMTopeWVe/7IxL4vH7T+Oea2aUxEmrwzPsUW3wD8qm53NPxu7tlCbjIu60VZWzC/WSd6pmuSd8zY8ZS9Zbrx9khcAYqb5qCIrNSYW3AGpqr1x0bzUu4E1XzcZl0fd8J2YrkneUW8zOnmn3cQX9qfrpF+KMHnVh4+6+ytvAhb8BVj3GE7US8bpcbdn2sJUbfIu1SSv/tJz6vguecdF/R4kLwDEW/PkXfSN8bHrj0fGZ9xLvfunxUbJuDg/trLgTR9pJu+YtxkneUf8YWaOJIoyee0u1np0sl1/vDA6NV2bvOONknFpeWzEmz7Sl7zel9DJ6z++5vbHSF4AiL1rZtKYEeY4Fl1/PGd3GVpwq0qbJ+Oj+RHdhts8ec3xw7XJG82oImXE/Hj3SRCjM04s63rz5sm4OKbbcK9JXqNqvjZ5GVUEADF3TfKOBjoVL604Y1eX7ZBoLXntxs5OkzeSmTTsby38XZsWl50RtiP2xBitJa83o1UnyctMGgAQc82Td8Yu4vrmb1xS9aayn6+RjNPNk1dtaCm2yWvn7JS5aNEecDvuT8aVax71N2IX/UleAEixpskr53CYGamZEUO1dE5d08Nq2hxMpJJ5qt3kDfSwiix5ZQu0O6jII5u9F67rYTXvG9G8YpeP20reQA8rkhcAYq5p8qoOyO5EGkaOLqhMNEp448HkXfCPQFrxxqa2nrxGq+Z4hMlrd0Ae9TqAPTJ2atos7i8Gx9tOGan5yL7/mGg3eY0m7kVB8gJA7DVL3im7Q6+ePHJlwh3Hak/uYMykUTPTxYpv6M28nhDSDdzrkle+1FXUTh/riJJ30R7coyePnJ+YW/E+V34pbyaNmpkupv3jsCacIUPzuqf0tckrX474BjSRvAAQc02u5NN6embn0j+hhwapSFy2w2hE52xg9kj1YNoxJ6mnzb7NCy0nrzt7pD2QJ6LkHXe+pHMfYDwDYcQuk4/pSgFvdkd39sgVNYXmohGcTt9mu9W4peR1Z49cFiQvAMRfkyu5W9Zasi/9M2oY6/L8lOxbpBo9Va6ML4+PCHf2SLel046JhdGpqbFRbzisTKmVlYkWk1c9MWF0bGVOPiogWOUdUvJ6Be9R+z5gRH3p+RnV0WzcucmQ33N0QYwEn5jgTB5pHaSxcWNstBqZNbHcWvKqJyZMjI9NWJ9SW+VN8gJAzDRO3jFv8gjnqUXL7jyIzvyJi97j7OaCyftoxnuYnizxLup8scttLSWv+0C9ichm0tCVzI/cpxYtjnjfasX/TceXa55VZEweKY/TjPuVVQq3lLyPlvQnzjOTBgDEX8PknTZKmbKpU17xp53RvAvjutuQKsjNrSy5KWH27l2ecCJpwZ232X6W7dz1yesMkZXP4rMKmNHNYbVilDL15NF6NO+EnlxjSSXpxJQbn2ZX7+kVHZwjet5m58HGLZR5nQckj40uLIwuTzOHFQAkwDUzadRYmp+Z9z1vdnF+usnq0/M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+ }
+ },
+ "cell_type": "markdown",
+ "id": "0fff7869",
+ "metadata": {},
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "66712734",
+ "metadata": {},
+ "source": [
+ "## Creating the Graph\n",
+ "\n",
+ "This notebook assumes that you already have a Neptune Analytics graph with the Air Routes RDF data loaded.\n",
+ "\n",
+ "To create the graph, you must have the Air Routes NTRIPLES file loaded into your Neptune Analytics graph.\n",
+ "\n",
+ "If you do not already have the data loaded, refer to the Neptune Analytics documentation for creating a graph from existing sources using the Air Routes ontology and NTRIPLES file available in S3:\n",
+ "[s3://aws-neptune-customer-samples/airroutes-rdf/airroutes.nt](s3://aws-neptune-customer-samples/airroutes-rdf/airroutes.nt)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ae564ed4",
+ "metadata": {},
+ "source": [
+ "## Retrieving Instances Count by Class / Node Label \n",
+ "\n",
+ "RDF classes become node labels in openCypher. Here, we execute a query to show how many instances of each RDF class / node label exist in the graph.\n",
+ "\n",
+ "#### SPARQL equivalent\n",
+ "\n",
+ "```\n",
+ "select ?type (count(?s) as ?count) where {\n",
+ " ?s a ?type .\n",
+ "} \n",
+ "group by ?type\n",
+ "\n",
+ "```"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5a8776f5",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc\n",
+ "\n",
+ "MATCH (n)\n",
+ "WITH labels(n) AS lbls\n",
+ "UNWIND lbls AS lbl\n",
+ "RETURN lbl AS Label, COUNT(*) AS Count\n",
+ "ORDER BY Count DESC;"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a6066612",
+ "metadata": {},
+ "source": [
+ "### Listing all RDF Object Properties / LPG Edge Labels\n",
+ "\n",
+ "RDF object properties are used to relate two resources (i.e., instances of classes) together. For example, `:hasDirectRouteTo` : \n",
+ "\n",
+ "```:JFK :hasDirectRouteTo :LondonHeathrow```\n",
+ "\n",
+ "RDF object properties become edge labels in openCypher.\n",
+ "\n",
+ "Execute the next cell to see a list of all the RDF object properties / edge labels in the graph.\n",
+ "\n",
+ "#### SPARQL equivalent:\n",
+ "\n",
+ "```\n",
+ "SELECT DISTINCT ?p WHERE {\n",
+ " ?s ?p ?o .\n",
+ " FILTER (isIRI(?o))\n",
+ "} GROUP BY ?p\n",
+ "```"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "138e34e2",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc\n",
+ "MATCH ()-[r]-()\n",
+ "RETURN DISTINCT type(r) AS relType"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ae4db7b7",
+ "metadata": {},
+ "source": [
+ "### Listing all RDF literal properties / LPG node properties\n",
+ "\n",
+ "RDF literal properties link a resource to a literal value, such as a string, number, or date.\n",
+ "For example, `:hasName` : \n",
+ "\n",
+ "```:JFK :hasName \"John F. Kennedy International Airport\"```\n",
+ "\n",
+ "RDF literal properties become node properties in openCypher.\n",
+ "\n",
+ "Execute the next cell to see a list of all the RDF literal properties / LPG node properties in the graph.\n",
+ "\n",
+ "#### SPARQL equivalent:\n",
+ "\n",
+ "```\n",
+ "SELECT DISTINCT ?p WHERE {\n",
+ " ?s ?p ?o .\n",
+ " FILTER (isLITERAL(?o))\n",
+ "} GROUP BY ?p\n",
+ "```"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "7d6c5416",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc\n",
+ "\n",
+ "MATCH (n)\n",
+ "WITH DISTINCT keys(n) AS nodeKeys\n",
+ "UNWIND nodeKeys AS key\n",
+ "RETURN DISTINCT key;"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f4e26cdf",
+ "metadata": {},
+ "source": [
+ "### Namespace Prefixes\n",
+ "\n",
+ "In SPARQL querying, namespace prefixes are often used to make queries easier to read and write. With namespace prefixes, you can define a prefix for part of the fully qualified IRI and use the prefix in its place. \n",
+ "\n",
+ "We have extended the syntax for openCypher to enable this feature when writing openCypher over RDF. \n",
+ "\n",
+ "Prefixes can be defined by adding them to the beginning of the query:\n",
+ "\n",
+ "```\n",
+ "PREFIX nepo: \n",
+ "PREFIX nepr: \n",
+ "PREFIX rdfs: \n",
+ "```\n",
+ "And then they can be used with a double colon:\n",
+ "\n",
+ "```\n",
+ "RETURN airport.rdfs::label, airport.nepo::IATA\n",
+ "```\n",
+ "### Querying using full IRIs\n",
+ "\n",
+ "Queries can be designed using fully qualified IRIs..."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4ca1e2c9",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc\n",
+ "\n",
+ "MATCH (airport: ``)\n",
+ "WHERE airport.`` = \"KMHT\"\n",
+ "RETURN airport.``,\n",
+ " airport.``"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "37179862",
+ "metadata": {},
+ "source": [
+ "### Querying using Namespace Prefixes\n",
+ "\n",
+ "As an alternative, queries can be designed using namespace prefixes:\n",
+ "\n",
+ "#### Finding an Airport by its property, the IATA code:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "2b5b09cc",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc\n",
+ "\n",
+ "PREFIX nepo: \n",
+ "PREFIX rdfs: \n",
+ "\n",
+ "MATCH (airport: nepo::Airport)\n",
+ "WHERE airport.nepo::IATA = \"MHT\"\n",
+ "RETURN airport.rdfs::label"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d2cbf1c0",
+ "metadata": {},
+ "source": [
+ "#### Finding an Airport node by its ID (RDF Resource IRI):"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "250f3f9c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc\n",
+ "PREFIX nepo: \n",
+ "PREFIX nepr: \n",
+ "PREFIX rdfs: \n",
+ "\n",
+ "MATCH (airport: nepo::Airport)\n",
+ "\n",
+ "WHERE id(airport) = nepr::AIRPORT_507 \n",
+ "\n",
+ "RETURN airport.rdfs::label"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "08c8d8cf",
+ "metadata": {},
+ "source": [
+ "### Finding Direct Flights\n",
+ "\n",
+ "Here is an openCypher query that returns all the paths in the graph of direct flights between airports. The query is limited to avoid a large response set.\n",
+ "\n",
+ "Select the 'graph' tab in the response to see a network diagram of the paths.\n",
+ "Returning paths in this manner ensures the diagram can be easily rendered as a network."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "0d2b120f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc -d \n",
+ "\n",
+ "PREFIX nepo: \n",
+ "PREFIX rdfs: \n",
+ "\n",
+ "MATCH directFlights = (\n",
+ " (origin: nepo::Airport)\n",
+ " <-[:nepo::source]-(r: nepo::Route)-[:nepo::destination]->\n",
+ " (destination: nepo::Airport)\n",
+ ")\n",
+ "RETURN directFlights\n",
+ "LIMIT 30"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1dbef32b",
+ "metadata": {},
+ "source": [
+ "### Finding 3 Hop Flights\n",
+ "\n",
+ "The direct path query is not sufficient to show journeys where multiple stops exist between the source and destination airports. \n",
+ "\n",
+ "The journey between Manchester-Boston and Helsinki has a minimum of three connecting flights. In total, there are 118 possible routes you could take to make the journey. Here we show the RDFS labels of the Route nodes in the graph:"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [],
+ "metadata": {
+ "collapsed": false
+ },
+ "id": "2fae2627ca1adc97"
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "188a8d67",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc\n",
+ "PREFIX rdfs: \n",
+ "PREFIX nepo: \n",
+ "\n",
+ "MATCH (origin:nepo::Airport {nepo::IATA: 'MHT'}) \n",
+ "MATCH (destination:nepo::Airport {nepo::IATA: 'HEL'})\n",
+ "\n",
+ "MATCH p=(origin:nepo::Airport)\n",
+ " -[:nepo::source]-(r)-[:nepo::destination]->()\n",
+ " -[:nepo::source]-(r2)-[:nepo::destination]->()\n",
+ " -[:nepo::source]-(r3)-[:nepo::destination]->\n",
+ " (destination:nepo::Airport)\n",
+ " \n",
+ "RETURN r.rdfs::label, r2.rdfs::label, r3.rdfs::label"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "4be470d0",
+ "metadata": {},
+ "source": [
+ "### Adding New Edges with Properties\n",
+ "\n",
+ "With RDF1.1, you cannot add properties to edges(predicates). However, because the graph is now in our 1Graph model (interoperable between openCypher and RDF), we can add a new edge, and set a property for the number of stops on the journey. \n",
+ "\n",
+ "Here, we find all the routes with two connecting flights, then for each, we add a new direct edge and a property representing the number of stops:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5abf86f2",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc\n",
+ "PREFIX rdfs: \n",
+ "PREFIX nepo: \n",
+ "\n",
+ "MATCH p=(origin:nepo::Airport)\n",
+ " -[:nepo::source]-(r)-[:nepo::destination]->()\n",
+ " -[:nepo::source]-(r2)-[:nepo::destination]->\n",
+ " (destination:nepo::Airport)\n",
+ " \n",
+ "CREATE (origin)-[:nepo::hasMultiStopRouteTo {nepo::stops: 2}]->(destination) "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8086e49d",
+ "metadata": {},
+ "source": [
+ "### How many stops are there on a journey between Edinburgh and Helsinki?\n",
+ "\n",
+ "With the query below, we can see that a journey between Edinburgh and Helsinki takes two stops."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "1ac4eba4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc\n",
+ "PREFIX rdfs: \n",
+ "PREFIX nepo: \n",
+ "\n",
+ "MATCH (origin:nepo::Airport {nepo::IATA: 'EDI'}) \n",
+ "MATCH (destination:nepo::Airport {nepo::IATA: 'HEL'})\n",
+ "\n",
+ "MATCH (origin)-[r:nepo::hasMultiStopRouteTo]->(destination)\n",
+ "\n",
+ "RETURN DISTINCT r.nepo::stops"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8ee7e5c5",
+ "metadata": {},
+ "source": [
+ "### Using Pathfinding\n",
+ "\n",
+ "While we could extend this feature to record the number of stops for all multi-stop journeys, a more intelligent modification can be made to the graph, making it easier to compute the number of stops on any journey.\n",
+ "\n",
+ "Execute the following query to extend the model. This will add an edge directly connecting airports if such a direct route is available."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "f21e765a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc\n",
+ "\n",
+ "PREFIX nepo: \n",
+ "PREFIX rdfs: \n",
+ "\n",
+ "MATCH (origin: nepo::Airport)\n",
+ " <-[:nepo::source]-(r: nepo::Route)-[:nepo::destination]->\n",
+ " (destination: nepo::Airport)\n",
+ "\n",
+ "CREATE (origin)-[:nepo::hasDirectRouteTo]->(destination)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8f1435e3",
+ "metadata": {},
+ "source": [
+ "### The extended Ontology / Schema"
+ ]
+ },
+ {
+ "attachments": {
+ "Airroutes%20-%20Copy%20of%20Copy%20of%20Page%202.png": {
+ "image/png": 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+ }
+ },
+ "cell_type": "markdown",
+ "id": "ff62463c",
+ "metadata": {},
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7fd99746",
+ "metadata": {},
+ "source": [
+ "### Variable Length Paths\n",
+ "Now, we can execute openCypher pathfinding queries with variable length paths. \n",
+ "Execute the query below to see different journeys you can take starting from Manchester-Boston, with up to three stops. Click on the graph tab to see the network diagram."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "e486e320",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc -d \n",
+ "\n",
+ "PREFIX nepo: \n",
+ "PREFIX rdfs: \n",
+ "\n",
+ "MATCH (origin:nepo::Airport {nepo::IATA: 'MHT'}) \n",
+ "\n",
+ "MATCH directFlights = (origin)-[r: nepo::hasDirectRouteTo*..3]->(n2)\n",
+ "return directFlights\n",
+ "limit 100"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "828e072d",
+ "metadata": {},
+ "source": [
+ "### Neptune Analytics Algorithms\n",
+ "\n",
+ "Neptune Analytics provides a set of optimized in-database implementations of common graph algorithms, which are exposed as openCypher procedures. These algorithms analyze inherent aspects of the underlying graph structure, such as connectedness (path finding), relative importance (centrality), and community membership (community detection).\n",
+ "\n",
+ "For more information about how to run each of the different algorithms, visit the [Neptune Analytics Algorithms documentation](https://docs.aws.amazon.com/neptune-analytics/latest/userguide/algorithms.html).\n",
+ "\n",
+ "Here, we run the PageRank algorithm to see which airports are the busiest."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "7041e560",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc\n",
+ "PREFIX rdfs: \n",
+ "PREFIX nepo: \n",
+ "\n",
+ "MATCH (airport:nepo::Airport)\n",
+ "\n",
+ "CALL neptune.algo.pageRank(airport, {\n",
+ " edgeLabels : [nepo::hasDirectRouteTo] \n",
+ "})\n",
+ "YIELD node\n",
+ "MATCH (node)-[e: nepo::hasDirectRouteTo]-()\n",
+ "\n",
+ "RETURN id(airport), airport.rdfs::label, COUNT(e) AS connections, airport.nepo::ICAO\n",
+ "ORDER BY connections DESC\n",
+ "LIMIT 100"
+ ]
+ }
+ ],
+ "metadata": {
+ "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": "3.10.8"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/graph_notebook/notebooks/02-Neptune-Analytics/04-OpenCypher-Over-RDF/02-Air-Routes-GeoNames.ipynb b/src/graph_notebook/notebooks/02-Neptune-Analytics/04-OpenCypher-Over-RDF/02-Air-Routes-GeoNames.ipynb
new file mode 100644
index 00000000..262a6534
--- /dev/null
+++ b/src/graph_notebook/notebooks/02-Neptune-Analytics/04-OpenCypher-Over-RDF/02-Air-Routes-GeoNames.ipynb
@@ -0,0 +1,322 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "cb463ab6",
+ "metadata": {},
+ "source": [
+ "Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.\n",
+ "SPDX-License-Identifier: Apache-2.0\n",
+ "\n",
+ "# Exploring RDF with openCypher - GeoNames & Air Routes\n",
+ "\n",
+ "The [Resource Description Framework (RDF)](https://en.wikipedia.org/wiki/Resource_Description_Framework) is a framework for representing information about resources in a graph form. Unlike traditional databases that store data in tables, RDF structures data as statements of fact called ‘triples,’ consisting of a subject, predicate, and object. This simple yet powerful model allows for the creation of intricate networks of data.\n",
+ "\n",
+ "There are numerous publicly available RDF datasets covering a wide range of fields, including geography, life sciences, cultural heritage, and government data. \n",
+ "\n",
+ "These datasets, along with the considerable amount of RDF embedded within web pages, are collectively known as the [Semantic Web](https://en.wikipedia.org/wiki/Semantic_Web) of [Linked Data](https://en.wikipedia.org/wiki/Linked_data).\n",
+ "\n",
+ "[SPARQL](https://en.wikipedia.org/wiki/SPARQL) is the standard query language for RDF. While powerful, it lacks some useful features, such as path finding.\n",
+ "\n",
+ "[openCypher](https://opencypher.org/) is a popular graph query language that enables intuitive and expressive querying, including path finding and pattern matching. \n",
+ "\n",
+ "[Neptune Analytics](https://docs.aws.amazon.com/neptune-analytics/latest/userguide/what-is-neptune-analytics.html) can run openCypher queries and graph algorithms over RDF data. \n",
+ "\n",
+ "In this notebook, we explore a linked RDF graph model comprised of two data sources:\n",
+ "1. Air Routes - An RDF model that describes airports, airlines, and flight paths around the world. The data originates from the [OpenFlights Airports Database](https://openflights.org/data.php).\n",
+ "2. GeoNames cities and countries - A small subset of [GeoNames](https://www.geonames.org/), the massive public RDF geographical database.\n",
+ "\n",
+ "### The Air Routes-GeoNames Ontology (Schema)\n",
+ "\n",
+ "The ontologies and datasets used in this notebook are available as NTRIPLES files in S3:\n",
+ "- Air Routes: [s3://aws-neptune-customer-samples/airroutes-rdf/airroutes.nt](s3://aws-neptune-customer-samples/airroutes-rdf/airroutes.nt)\n",
+ "- GeoNames: [s3://aws-neptune-customer-samples/geonames-rdf/geonames-cities-countries.nt](s3://aws-neptune-customer-samples/geonames-rdf/geonames-cities-countries.nt)\n",
+ "\n",
+ "In this notebook, we work around a subset of the GeoNames and AirRoutes ontologies, linked by the country code, as shown here:"
+ ]
+ },
+ {
+ "attachments": {
+ "Airroutes-GeoNames-111.png": {
+ "image/png": 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+ }
+ },
+ "cell_type": "markdown",
+ "id": "64141e41",
+ "metadata": {},
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c0950c69",
+ "metadata": {},
+ "source": [
+ "## Loading the GeoNames RDF graph\n",
+ "\n",
+ "Execute the cell below to load the GeoNames cities and countries RDF graph, using [Neptune batch load](https://docs.aws.amazon.com/neptune-analytics/latest/userguide/batch-load.html). "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "11f981cb",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc\n",
+ "\n",
+ "CALL neptune.load(\n",
+ " {\n",
+ " source: \"s3://aws-neptune-customer-samples/geonames-rdf/geonames-cities-countries.nt\",\n",
+ " region: \"us-east-1\",\n",
+ " format: \"ntriples\",\n",
+ " failOnError: true,\n",
+ " blankNodeHandling: \"convertToIri\"\n",
+ " }\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "aad8ceea",
+ "metadata": {},
+ "source": [
+ "## Loading the Air Routes RDF graph\n",
+ "\n",
+ "Run the following to load the AirRoutes RDF graph, using [Neptune batch load](https://docs.aws.amazon.com/neptune-analytics/latest/userguide/batch-load.html). "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "ea98a771",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc\n",
+ "\n",
+ "CALL neptune.load(\n",
+ " {\n",
+ " source: \"s3://aws-neptune-customer-samples/airroutes-rdf/airroutes.nt\",\n",
+ " region: \"us-east-1\",\n",
+ " format: \"ntriples\",\n",
+ " failOnError: true,\n",
+ " blankNodeHandling: \"convertToIri\"\n",
+ " }\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "942d0839",
+ "metadata": {},
+ "source": [
+ "## Checking the contents of the graph\n",
+ "\n",
+ "Now that we have both RDF graphs loaded, run the following cell to see a list of labels/RDF-classes and the number of instances for each label/RDF-class in the dataset. You should see labels/classes from both GeoNames and Air Routes. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "1fde9efc",
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [],
+ "source": [
+ "%%oc\n",
+ "\n",
+ "MATCH (n)\n",
+ "WITH labels(n) AS lbls\n",
+ "UNWIND lbls AS lbl\n",
+ "RETURN lbl AS Label, COUNT(*) AS Count\n",
+ "ORDER BY Count DESC;"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "d26e1a98",
+ "metadata": {},
+ "source": [
+ "## Linked data queries\n",
+ "\n",
+ "RDF practitioners often use publicly available data to enrich their own data and provide better solutions for their consumers. \n",
+ "\n",
+ "In this notebook, the Air Routes graph is our internal data, and the GeoNames is the public RDF dataset used to enrich the solution. \n",
+ "\n",
+ "There are many ways to join the two datasets, as GeoNames has a wide range of internationally recognised identifiers that follow various standards. We have chosen to link the to graphs by the [ISO country codes](https://en.wikipedia.org/wiki/List_of_ISO_3166_country_codes) for simplicity. "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "0e36a2ae",
+ "metadata": {},
+ "source": [
+ "### Finding GeoNames countries\n",
+ "\n",
+ "Run the following cell to list all the GeoNames countries."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "b6dd2e4d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc\n",
+ "PREFIX gn: \n",
+ "PREFIX schema: \n",
+ "\n",
+ "MATCH (country:schema::Country)\n",
+ "RETURN country.gn::name, country.gn::countryCode\n",
+ "ORDER BY country.gn::name"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "340b70a4",
+ "metadata": {},
+ "source": [
+ "### Finding Air Routes countries\n",
+ "\n",
+ "Run the following cell to list all the Air Routes countries."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "7856560e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc\n",
+ "PREFIX nepo: \n",
+ "PREFIX rdfs: \n",
+ "\n",
+ "MATCH (country:nepo::Country)\n",
+ "RETURN country.rdfs::label, country.nepo::ISO\n",
+ "ORDER BY country.rdfs::label"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "bf62d37d",
+ "metadata": {},
+ "source": [
+ "### Finding countries from both graphs by country code\n",
+ "\n",
+ "Run the following cell to list all the countries from both graphs where the ISO country code matches. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5829850f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc\n",
+ "PREFIX nepo: \n",
+ "PREFIX nepr: \n",
+ "PREFIX rdfs: \n",
+ "PREFIX gn: \n",
+ "PREFIX schema: \n",
+ "\n",
+ "MATCH (gn_country:schema::Country), (ar_country:nepo::Country)\n",
+ "WHERE gn_country.gn::countryCode = ar_country.nepo::ISO\n",
+ "RETURN gn_country.gn::name, ar_country.rdfs::label"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "843d2e72",
+ "metadata": {},
+ "source": [
+ "### Linking countries with `skos:exactMatch`\n",
+ "\n",
+ "The query below creates an edge between the Air Routes countries and the GeoNames countries where the ISO country codes match, using the W3C recommended predicate [`skos:exactMatch`](https://www.w3.org/TR/skos-reference/#exactMatch).\n",
+ "\n",
+ "Select the graph tab to see the new relationship in a network diagram."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "ae0b4e52",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc -d \n",
+ "\n",
+ "PREFIX nepo: \n",
+ "PREFIX gn: \n",
+ "PREFIX schema: \n",
+ "PREFIX skos: \n",
+ "\n",
+ "MATCH (gn_country:schema::Country), (ar_country:nepo::Country)\n",
+ "WHERE gn_country.gn::countryCode = ar_country.nepo::ISO\n",
+ "CREATE (gn_country)-[matches :skos::exactMatch]->(ar_country)\n",
+ "RETURN gn_country, matches, ar_country"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e19cbac4",
+ "metadata": {},
+ "source": [
+ "### Checking the language and currency at destination of flight\n",
+ "\n",
+ "Now that the graphs are linked, we can query both graphs as one.\n",
+ "\n",
+ "For a flight between London and Madrid (Air Routes), the query below find the currency needed as well as the languages spoken at the destination, Madrid (GeoNames)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a93675cf",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%%oc\n",
+ "\n",
+ "PREFIX nepo: \n",
+ "PREFIX gn: \n",
+ "PREFIX schema: \n",
+ "PREFIX skos: \n",
+ "\n",
+ "MATCH (origin:nepo::Airport)-[p:nepo::hasDirectRouteTo]->(destination:nepo::Airport)\n",
+ " -[:nepo::locatedIn*..2]-(ar_country:nepo::Country)\n",
+ " -[:skos::exactMatch]-(geo_country:schema::Country)\n",
+ " \n",
+ "WHERE origin.nepo::IATA = \"LHR\" AND destination.nepo::IATA = \"MAD\" \n",
+ "RETURN DISTINCT destination.rdfs::label, geo_country.gn::currencyCode, geo_country.gn::languages"
+ ]
+ }
+ ],
+ "metadata": {
+ "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": "3.10.8"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/src/graph_notebook/notebooks/02-Neptune-Analytics/04-OpenCypher-Over-RDF/Air-Routes-Ontology-Diagram.png b/src/graph_notebook/notebooks/02-Neptune-Analytics/04-OpenCypher-Over-RDF/Air-Routes-Ontology-Diagram.png
new file mode 100644
index 00000000..820ae818
Binary files /dev/null and b/src/graph_notebook/notebooks/02-Neptune-Analytics/04-OpenCypher-Over-RDF/Air-Routes-Ontology-Diagram.png differ
diff --git a/src/graph_notebook/notebooks/02-Neptune-Analytics/04-OpenCypher-Over-RDF/__init__.py b/src/graph_notebook/notebooks/02-Neptune-Analytics/04-OpenCypher-Over-RDF/__init__.py
new file mode 100644
index 00000000..fa84f3bc
--- /dev/null
+++ b/src/graph_notebook/notebooks/02-Neptune-Analytics/04-OpenCypher-Over-RDF/__init__.py
@@ -0,0 +1,4 @@
+"""
+Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
+SPDX-License-Identifier: Apache-2.0
+"""
\ No newline at end of file
diff --git a/test/unit/notebooks/test_validate_notebooks.py b/test/unit/notebooks/test_validate_notebooks.py
index 84a3646f..2be153c2 100644
--- a/test/unit/notebooks/test_validate_notebooks.py
+++ b/test/unit/notebooks/test_validate_notebooks.py
@@ -60,6 +60,8 @@ def test_no_extra_notebooks(self):
f'{NOTEBOOK_BASE_DIR}/02-Neptune-Analytics/03-Sample-Use-Cases/03-Software-Bill-Of-Materials/00-Intro-to-Software-Bill-Of-Materials.ipynb',
f'{NOTEBOOK_BASE_DIR}/02-Neptune-Analytics/03-Sample-Use-Cases/03-Software-Bill-Of-Materials/01-SBOM-Dependency-Analysis.ipynb',
f'{NOTEBOOK_BASE_DIR}/02-Neptune-Analytics/03-Sample-Use-Cases/03-Software-Bill-Of-Materials/02-SBOM-Vulnerability-Analysis.ipynb',
+ f'{NOTEBOOK_BASE_DIR}/02-Neptune-Analytics/04-OpenCypher-Over-RDF/01-Air-Routes.ipynb',
+ f'{NOTEBOOK_BASE_DIR}/02-Neptune-Analytics/04-OpenCypher-Over-RDF/02-Air-Routes-GeoNames.ipynb',
f'{NOTEBOOK_BASE_DIR}/03-Neptune-ML/01-Gremlin/01-Getting-Started-with-Neptune-ML-Gremlin.ipynb',
f'{NOTEBOOK_BASE_DIR}/03-Neptune-ML/01-Gremlin/02-Introduction-to-Node-Classification-Gremlin.ipynb',
f'{NOTEBOOK_BASE_DIR}/03-Neptune-ML/01-Gremlin/03-Introduction-to-Node-Regression-Gremlin.ipynb',