Uses a CONSTRUCT query to preview changes before executing an INSERT/DELETE operation. – 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 Tarql: SPARQL for Tables https://ld4pe.dublincore.org/learning_resource/tarql-sparql-for-tables/ Fri, 18 Aug 2017 08:22:56 +0000 https://ld4pe.dublincore.org/learning_resource/tarql-sparql-for-tables/ Tarql is a command-line tool for converting CSV files to RDF using SPARQL 1.1 syntax. In short, a CSV file’s contents are input into a SPARQL query as a table of bindings. This allows manipulation of CSV data using the full power of SPARQL 1.1 syntax, and in particular the generation of RDF using CONSTRUCT queries. Includes design patterns and examples. Discusses how to deal with variations in header rows, delimiters, quotes and character encoding encountered in CSV/TSV files.

URL: http://tarql.github.io/
Keywords: CSV (Comma Separated Values), SPARQL CONSTRUCT, SPARQL OFFSET, Apache Jena, Java (programming language)
Author: Cyganiak, Richard
Date created: 2017-06-22 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P45M

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Using the Convert CSV to RDF ingest tool https://ld4pe.dublincore.org/learning_resource/using-the-convert-csv-to-rdf-ingest-tool/ Fri, 18 Aug 2017 08:22:56 +0000 https://ld4pe.dublincore.org/learning_resource/using-the-convert-csv-to-rdf-ingest-tool/ This guide will walk through the use of the Convert CSV to RDF tool, a semi-automated method of converting comma separated or tab separated text files into RDF that can be displayed in VIVO. These files should include one row of data per record (e.g., a person or publication) and represent the fields or properties associated with each record in separate columns within the row, much as the values appear in a spreadsheet. The most common pattern of loading CSV files involves one CSV file per type of data to be loaded. Note, the current ingest tools involve working through a number of steps from original source data files to the appearance of new data in VIVO. The process requires some understanding of semantic web data modeling and some training.

URL: https://wiki.duraspace.org/display/VIVODOC19x/Using+the+Convert+CSV+to+RDF+ingest+tool
Keywords: CSV (Comma Separated Values), VIVO Ontology for Researcher Discovery, SPARQL
Author: Gross, Benjamin
Publisher: Duraspace
Date created: 2017-03-16 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Educational use: instruction
Educational audience: teacher-educationSpecialist
Interactivity type: mixed

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Linked Data Patterns https://ld4pe.dublincore.org/learning_resource/linked-data-patterns/ Sat, 16 Jan 2016 13:43:28 +0000 https://ld4pe.dublincore.org/learning_resource/linked-data-patterns/ This resource is a pattern catalogue for modelling, publishing, and consuming Linked Data which adopts a tried and tested means of communicating knowledge and experience in software development: the design pattern. The intent is to create a ready reference that will be useful for both the beginner and the experienced practitioner alike. It is also intended to grow and mature in line with the practitioner community. NOTE: This is a book-length resource and covers a wide range of different areas from the design of Web-scale identifiers to application development patterns.

URL: http://patterns.dataincubator.org/book/index.html
Keywords: Reification, Graph annotation, Autodiscovery, Named query, Binding
Author: Dodds, Leigh
Date created: 2012-05-31 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P3H

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