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Course Notes for Learning Intelligent Systems

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Department of Telematic Engineering Systems

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Universidad Politécnica de Madrid. © Carlos A. Iglesias

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\n", " \"UPM\"\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Introduction\n", "\n", "This lecture explains how to run the SPARQL Server Fuseki using Docker." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Installing Fuseki with Docker\n", "This section is taken from [[1](#1), [2](#2)].\n", "\n", "## Install Docker if not installed\n", "You should have installed **Docker**. If not, refer to the [docker install guide](https://docs.docker.com/engine/install/).\n", "\n", "## Install fuseki image\n", "In a terminal, run\n", "```\n", "docker run -p 3030:3030 --name fuseki -e ADMIN_PASSWORD=fuseki -it stain/jena-fuseki\n", "```\n", "You can change the admin password to anyone that you want, or the ports.\n", "\n", "You should see the logs in the terminal.\n", "\n", "![alt text](docker-run-jena-fuseki.jpg \"Fuseki running in Docker\")\n", "\n", "## Access admin UI\n", "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", "\n", "![alt text](fuseki-running.jpg \"UI Admin Fuseki\")\n", "\n", "## Load data\n", "Download this dataset to your computer.\n", "\n", "[Beatles dataset](https://github.com/gsi-upm/sitc/blob/master/lod/BeatlesMusicians.ttl).\n", "\n", "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", "\n", "![alt text](new-dataset.jpg \"create dataset\")\n", "\n", "\n", "Click the *create dataset* button.\n", "\n", "![alt text](created-dataset.jpg \"created dataset\")\n", "\n", "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", "\n", "![alt text](upload-data.jpg \"upload data\")\n", "\n", "Now the *query* tab.\n", "\n", "![alt text](query-ui.jpg \"query ui\")\n", "\n", "You see a generic query to list triples, click on the *Play* button (a triangle on the SPARQL query's right).\n", "\n", "Scroll down to see the query results.\n", "\n", "![alt text](query-results.jpg \"query results\")\n", "\n", "\n", "Congratulations! You have a SPARQL server running, serving a dataset!!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## References" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* [1] [SPARQL by Example. A Tutorial. Lee Feigenbaum. W3C, 2009](https://hub.docker.com/r/stain/jena-fuseki)\n", "* [2] [SPARQL queries of Beatles recording sessions](http://www.snee.com/bobdc.blog/2017/11/sparql-queries-of-beatles-reco.html)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Licence\n", "The notebook is freely licensed under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n", "\n", "© Carlos A. Iglesias, Universidad Politécnica de Madrid." ] } ], "metadata": { "datacleaner": { "position": { "top": "50px" }, "python": { "varRefreshCmd": "try:\n print(_datacleaner.dataframe_metadata())\nexcept:\n print([])" }, "window_display": false }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.12.2" }, "latex_envs": { "LaTeX_envs_menu_present": true, "autocomplete": true, "bibliofile": "biblio.bib", "cite_by": "apalike", "current_citInitial": 1, "eqLabelWithNumbers": true, "eqNumInitial": 1, "hotkeys": { "equation": "Ctrl-E", "itemize": "Ctrl-I" }, "labels_anchors": false, "latex_user_defs": false, "report_style_numbering": false, "user_envs_cfg": false } }, "nbformat": 4, "nbformat_minor": 4 }