Climate Science Education Research Bibliography in RDF

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Overview

This RDF file contains the same bibliographic data as this CSV file, both pertaining to our report on the state of the art in Environmental Education Research, the Assa2021Report.

Compared to the tabular version of the bibliography, the RDF version is augmented with information that is not contained directly in the bibliographic meta-data; the references are linked to categories pertaining to:

  • Educational levels (Primary, Secondary, ...),
  • Scientific disciplines (climate Science, biodiversity, sustainability...),
  • Pedagogies (place-based learning, project-based learning, ...),
  • Learning outcomes (cognitive, attitudes, behaviour...) and
  • Research methods (survey method, interview method, ...).

These categories (and sub-categories) are expressed in the SKOS notation; they are listed here.

The bibliographic information described following the RDF standard is mainly useful when the file is loaded into a database engine. Therefore, the information is not only available for download, but also through an online database available for public use, described next.

For making use of the information either in a file format or on the database server, it is helpful to understand how it is structured. The article on Managing vocabularies and categories with SKOS provides the necessary background knowledge and some examples.

Accessing the online database

The bibliographic references used in this review can be further interrogated at this SPARQL query interface.

Note that this is a different site than coolfutures.net, and therefore best opened in a different browser tab or window.

Using the database

The access point looks like this

WebView8.jpg

The results for a query are displayed in the table under the `Edit query` box:

WebView5.jpg

Here are a number of simple queries:

More interesting searches those that make use of the taxonomy:

Each of these links does not only show the query result, but also the query itself. It can be modified and used for other searches. Some information how to use this endpoint can be found in this Introduction to SPARQL.

Namespaces

Missing namespaces are a frequent reason for queries yielding no or only partial results. Namespaces are indicated as a label followed by a colon followed by subject, predicate, or object. The namespace of relevance for the cce repository are:

Namespaces
: http://coolfutures.net/rdf/2021/cce#
cce http://coolfutures.net/rdf/2021/cce#
dct http://purl.org/dc/terms/
lrmi http://purl.org/dcx/lrmi-terms/

Drilling down from query results

Query results are displayed as a table, and each cell is a web link. Following the links reveals further information. Note that clicking on a literal (anything in quotation marks) is typically not useful because a literal has no further information attached.

Displaying all information related to a bibliographic entry

In the query results, click on one of the index links in the column `work`. This will display all the information available on that bibliographic entry:

WebView4.jpg

Following predicate links

Clicking a predicate link in the table above will show all the nodes that are linked through that predicate in the database. For instance, for the predicate `science` this yields:

WebView6.jpg


Following object links

Clicking on the `object` link will reveal all nodes of the same type in the subject and object role. For instance, after clicking on `ClimateScience` in the `object` column something similar to this will be displayed:

WebView7.jpg

Interactive graphical interface

AllegroGraph provides with an app called Gruff a more network-oriented view of RDF triples:

GruffView1.jpg

The graphic illustrates the main benefit of RDF: Expressing relations (links) between different kinds of data. In this case, we see how references (in green) are related to concepts, and through the concepts related to each other.

Gruff is accessible from the repository's overview page. See also Gruff Documentation.