Uses RDF libraries to process various types of SPARQL query result. – Linked Data for Professional Education https://ld4pe.dublincore.org Learning resources tagged by competency Thu, 19 Nov 2020 14:45:03 +0000 en-US hourly 1 https://wordpress.org/?v=4.9.16 SPARQL Package for R: Movie Star Graph Visualization Tutorial https://ld4pe.dublincore.org/learning_resource/sparql-package-for-r-movie-star-graph-visualization-tutorial/ Sun, 06 Aug 2017 07:58:04 +0000 https://ld4pe.dublincore.org/learning_resource/sparql-package-for-r-movie-star-graph-visualization-tutorial/ The SPARQL Package allows you to directly import results of SPARQL SELECT queries into the statistical environment of R as a data frame, allowing one to directly perform statistical analysis on datasets on the web. This tutorial shows how to do a visual analysis with the Gephi graph visualization tool, and basic social network analysis with R of the data in the DBpedia repository about Hollywood movies. It makes use of the SPARQL Package for R and the igraph library.

URL: http://linkedscience.org/tools/sparql-package-for-r/sparql-package-for-r-gephi-movie-star-graph-visualization-tutorial/
Keywords: R (programming language), Linked Open Data (LOD), Statistical analysis, Data visualization, Gephi
Author: van Hage, Willem Robert
Publisher: COMBINE project
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P90M
Educational use: instruction
Educational audience: student
Interactivity type: mixed

]]> Using the SPARQL Package in R to Handle Spatial Linked Data: Part II https://ld4pe.dublincore.org/learning_resource/using-the-sparql-package-in-r-to-handle-spatial-linked-data-part-ii/ Sun, 06 Aug 2017 07:58:04 +0000 https://ld4pe.dublincore.org/learning_resource/using-the-sparql-package-in-r-to-handle-spatial-linked-data-part-ii/ Continuing where Part I left off, this tutorial shows how to access Spatial and Temporal Data about the complex environmental system of the Brazilian Amazon Rainforest, including deforestation statistics, and a variety of socio-economic variables. It shows how store this data in a meaningful way and how to plot and handle it within R.

URL: http://linkedscience.org/tools/sparql-package-for-r/tutorial-part-ii-calculating-deforestation-per-state/
Keywords: R (programming language), Linked Open Data (LOD), Statistical analysis, Data visualization
Author: Gräler, Benedikt
Publisher: COMBINE project
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: instruction
Educational audience: student
Interactivity type: mixed

]]> Using the SPARQL Package in R to Handle Spatial Linked Data: Part I https://ld4pe.dublincore.org/learning_resource/using-the-sparql-package-in-r-to-handle-spatial-linked-data-part-i/ Sun, 06 Aug 2017 07:58:04 +0000 https://ld4pe.dublincore.org/learning_resource/using-the-sparql-package-in-r-to-handle-spatial-linked-data-part-i/ As a solution to bridge two communities, those of statistical computing and the Semantic Web, there is now the SPARQL Package for R, which enables one to retrieve data from Linked Data services for analysis. This tutorial shows
how to access Spatial and Temporal Data about the complex environmental system of the Brazilian Amazon Rainforest, including deforestation statistics, and a variety of socio-economic variables. It shows how store this data in a meaningful way and how to plot and handle it within R.

URL: http://linkedscience.org/tools/sparql-package-for-r/tutorial-on-sparql-package-for-r/
Keywords: R (programming language), Linked Open Data (LOD), Statistical analysis, Data visualization
Author: Gräler, Benedikt
Publisher: COMBINE project
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: instruction
Educational audience: student
Interactivity type: mixed

]]> SPARQL Package for R: Linked Open Piracy Tutorial https://ld4pe.dublincore.org/learning_resource/sparql-package-for-r-linked-open-piracy-tutorial/ Sun, 06 Aug 2017 07:58:04 +0000 https://ld4pe.dublincore.org/learning_resource/sparql-package-for-r-linked-open-piracy-tutorial/ This tutorial shows how to do a visual analysis and basic statistical analysis of the data in the Linked Open Piracy data set. It makes use of the SPARQL Package for R and the ggmap package. The SPARQL Package allows one to directly import results of SPARQL SELECT queries into the statistical environment of R as a data frame, allowing one to directly perform statistical analysis on datasets from the web.

URL: http://linkedscience.org/tools/sparql-package-for-r/linked-open-piracy-tutorial/
Keywords: R (programming language), Linked Open Data (LOD), Statistical analysis, Data visualization
Author: van Hage, Willem Robert
Publisher: COMBINE project
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P1H
Educational use: instruction
Educational audience: student
Interactivity type: mixed

]]> Getting Started with RDF and SPARQL Using Sesame and Python https://ld4pe.dublincore.org/learning_resource/getting-started-with-rdf-and-sparql-using-sesame-and-python/ Thu, 29 Dec 2016 06:44:03 +0000 https://ld4pe.dublincore.org/learning_resource/getting-started-with-rdf-and-sparql-using-sesame-and-python/ This blog post includes documentation of how to install a triplestore, load data into it, retrieve it using SPARQL, and access the results as native structures using the Python programming language.

URL: http://www.jenitennison.com/2011/01/25/getting-started-with-rdf-and-sparql-using-sesame-and-python.html
Keywords: Python, Triple store, RDFAlchemy, Sesame
Author: Tennison, Jenni
Date created: 2011-01-25 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P45M

]]> Client-Side APIs for Semantics https://ld4pe.dublincore.org/learning_resource/client-side-apis-for-semantics/ Sun, 17 Jul 2016 06:32:29 +0000 https://ld4pe.dublincore.org/learning_resource/client-side-apis-for-semantics/ This is the eleventh chapter in MarkLogic's "Semantic Developer's Guide".
It discusses client-side APIs that provide support for management of triples and graphs, SPARQL and SPARQL Update, and access to the search features of MarkLogic server. The Java Client and Node.js Client source are available on GitHub. Also on GitHub are MarkLogic Sesame and MarkLogic Jena.

URL: https://docs.marklogic.com/guide/semantics/clientAPIs
Keywords: SPARQL, CRUD, Rulesets, Permissions, Bindings
Publisher: MarkLogic
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M

]]> Using Semantics with the REST Client API https://ld4pe.dublincore.org/learning_resource/using-semantics-with-the-rest-client-api/ Sun, 17 Apr 2016 23:37:58 +0000 https://ld4pe.dublincore.org/learning_resource/using-semantics-with-the-rest-client-api/ This is the ninth chapter in MarkLogic's "Semantic Developer's Guide". It describes how to use MarkLogic Semantics with the REST Client API to view, query, and modify triples and graphs using REST over HTTP. A MarkLogic SPARQL endpoint is available to use with SPARQL query and SPARQL Update to access triples in MarkLogic. Several types of optimized serialization are available for SPARQL results and RDF triples over REST.

URL: https://docs.marklogic.com/guide/semantics/REST
Keywords: SPARQL, REST API, SPARQL endpoint, CRUD, Permissions
Publisher: MarkLogic
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P1H

]]> Semantic Queries https://ld4pe.dublincore.org/learning_resource/semantic-queries/ Fri, 15 Apr 2016 23:37:50 +0000 https://ld4pe.dublincore.org/learning_resource/semantic-queries/ This is the sixth chapter in MarkLogic's "Semantic Developer's Guide". This chapter discusses the principal techniques and tools used for performing semantic queries on RDF triples. It contains a high-level overview of the SPARQL query capabilities available in MarkLogic. Other subjects include wrapping SPARQL queries in XQuery, and queries using JavaScript and XQuery alone.

URL: https://docs.marklogic.com/guide/semantics/semantic-searches
Keywords: Javascript, XQuery, SPARQL, CURIE (Compact URI Expression)
Publisher: MarkLogic
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P1H
Educational use: professionalDevelopment
Educational audience: professional
Interactivity type: mixed

]]> Semantic Python: Mastering Linked Data with Python https://ld4pe.dublincore.org/learning_resource/semantic-python-mastering-linked-data-with-python/ https://ld4pe.dublincore.org/learning_resource/semantic-python-mastering-linked-data-with-python/#respond Thu, 13 Aug 2015 13:45:22 +0000 https://ld4pe.dublincore.org/learning_resource/valerio-maggio-semantic-python-mastering-linked-data-with-python/ Python offers a very powerful and easy to use library to work with Linked Data: rdflib. RDFLib is a lightweight and functionally complete RDF library, allowing applications to access, create and manage RDF graphs. This talk presents a general overview of the main features provided by the rdflib package. Several code examples are discussed, along with a case study concerning the analysis of a (semantic) social graph. Begins with a non-trivial overview of Linked Data Principles and the RDF Data Model, before moving on to the programming examples.

URL: https://www.youtube.com/watch?v=5DCS9LE-8rE
Keywords: SQ-Lite, RDFLib, Python, SPARQL, DBPedia
Author: Maggio, Valerio
Publisher: PyData
Date created: 2014-07-26 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P50M
Educational use: professionalDevelopment

]]> https://ld4pe.dublincore.org/learning_resource/semantic-python-mastering-linked-data-with-python/feed/ 0 How-to Guide for Creating a Linked Data Site https://ld4pe.dublincore.org/learning_resource/how-to-guide-for-creating-a-linked-data-site/ https://ld4pe.dublincore.org/learning_resource/how-to-guide-for-creating-a-linked-data-site/#respond Thu, 13 Aug 2015 03:26:19 +0000 https://ld4pe.dublincore.org/learning_resource/how-to-guide-for-creating-a-linked-data-site/ The author attempts to walk the reader through the process of creating what he considers to be a Linked Data site. He assumes that the reader has a basic understanding of the RDF data model, has seen a few triple statements in one of the serializations, knows what SPARQL is for, can read some PHP and HTML code, is not too shy in the Linux (Ubuntu/Debian as far as the examples go) command line, and has Apache and PHP ready to go in the environment.

URL: http://csarven.ca/how-to-create-a-linked-data-site
Keywords: Fuseki, Apache Jena, PHP, Java
Author: Capadisli, Sarven
Date created: 2011-02-03 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P60M
Educational audience: professional

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