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lod/01_1_SPARQL_Server.ipynb
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<header style=\"width:100%;position:relative\">\n",
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" <div style=\"width:80%;float:right;\">\n",
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" <h1>Course Notes for Learning Intelligent Systems</h1>\n",
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" <h2>Department of Telematic Engineering Systems</h2>\n",
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" <h3>Universidad Politécnica de Madrid. © Carlos A. Iglesias </h3>\n",
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" </div>\n",
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" <img style=\"width:15%;\" src=\"https://github.com/gsi-upm/sitc/blob/9844820e6653b0e169113a06538f8e54554c4fbc/images/EscUpmPolit_p.gif?raw=true\" alt=\"UPM\" />\n",
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"</header>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Introduction\n",
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"\n",
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"This lecture explains how to run the SPARQL Server Fuseki using Docker."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Installing Fuseki with Docker\n",
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"This section is taken from [[1](#1), [2](#2)].\n",
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"\n",
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"## Install Docker if not installed\n",
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"You should have installed **Docker**. If not, refer to the [docker install guide](https://docs.docker.com/engine/install/).\n",
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"\n",
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"## Install fuseki image\n",
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"In a terminal, run\n",
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"```\n",
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"docker run -p 3030:3030 --name fuseki -e ADMIN_PASSWORD=fuseki -it stain/jena-fuseki\n",
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"```\n",
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"You can change the admin password to anyone that you want, or the ports.\n",
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"\n",
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"You should see the logs in the terminal.\n",
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"\n",
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"\n",
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"\n",
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"## Access admin UI\n",
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"Now open a browser to [http://localhost:3030](http://localhost:3030) and log in as user *admin* with password *fuseki* (or the password you set earlier).\n",
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"\n",
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"\n",
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"\n",
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"## Load data\n",
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"Download this dataset to your computer.\n",
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"\n",
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"[Beatles dataset](https://github.com/gsi-upm/sitc/blob/master/lod/BeatlesMusicians.ttl).\n",
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"\n",
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"At the bottom of the UI, you can see 'No datasets created - add one'. Click on *add one*. Set *beatles* as the dataset name and in-memory as the dataset type.\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"Click the *create dataset* button.\n",
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"\n",
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"\n",
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"\n",
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"Click the *add data* button. In the new screen, select the button *select files* and click on the file you have previously downloaded, and click on the *upload now* button.\n",
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"\n",
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"\n",
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"\n",
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"Now the *query* tab.\n",
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"\n",
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"\n",
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"\n",
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"You see a generic query to list triples, click on the *Play* button (a triangle on the SPARQL query's right).\n",
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"\n",
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"Scroll down to see the query results.\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"Congratulations! You have a SPARQL server running, serving a dataset!!"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## References"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"* <a id=\"1\">[1]</a> [SPARQL by Example. A Tutorial. Lee Feigenbaum. W3C, 2009](https://hub.docker.com/r/stain/jena-fuseki)\n",
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"* <a id=\"2\">[2]</a> [SPARQL queries of Beatles recording sessions](http://www.snee.com/bobdc.blog/2017/11/sparql-queries-of-beatles-reco.html)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Licence\n",
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"The notebook is freely licensed under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n",
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"\n",
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"© Carlos A. Iglesias, Universidad Politécnica de Madrid."
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]
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}
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],
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"metadata": {
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"datacleaner": {
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"position": {
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"top": "50px"
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},
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"python": {
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"varRefreshCmd": "try:\n print(_datacleaner.dataframe_metadata())\nexcept:\n print([])"
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},
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"window_display": false
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},
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.2"
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},
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"latex_envs": {
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"LaTeX_envs_menu_present": true,
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"autocomplete": true,
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"bibliofile": "biblio.bib",
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"cite_by": "apalike",
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"current_citInitial": 1,
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"eqLabelWithNumbers": true,
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"eqNumInitial": 1,
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"hotkeys": {
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"equation": "Ctrl-E",
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"itemize": "Ctrl-I"
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},
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"labels_anchors": false,
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"latex_user_defs": false,
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"report_style_numbering": false,
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"user_envs_cfg": false
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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"name": "python",
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"name": "python",
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"nbconvert_exporter": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"pygments_lexer": "ipython3",
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"version": "3.8.10"
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"version": "3.12.2"
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},
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},
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"toc": {
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"toc": {
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"base_numbering": 1,
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"base_numbering": 1,
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lod/created-dataset.jpg
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lod/docker-run-jena-fuseki.jpg
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lod/fuseki-running.jpg
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lod/new-dataset.jpg
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lod/query-results.jpg
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lod/query-ui.jpg
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lod/upload-data.jpg
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