Changeset 35066

Timestamp:

2021-04-12T22:42:45+12:00 (3 years ago)

Author:

davidb

Message:

Text/syntax tidy-up

File:

• main/trunk/model-sites-dev/eurovision-lod/collect/eurovision/transform/pages/about.xsl (modified) (7 diffs)

main/trunk/model-sites-dev/eurovision-lod/collect/eurovision/transform/pages/about.xsl

@@ -195 +195 @@
          WHERE {
            GRAPH &lt;<xsl:value-of select="$graphURI"/>&gt;  {
-                       ?s gsdlextracted:Country ?country
-           }
+               { 
+             SELECT DISTINCT ?country ?year WHERE {
+                 ?s gsdlextracted:Country ?country.
+                 ?s gsdlextracted:Year ?year.
+             } ORDER BY ?country ?year
+               }
+             }
          }
-         GROUP BY ?country ORDER BY asc(?country)          
+         GROUP BY ?country ORDER BY ASC(?country)
            </xsl:attribute>
            <xsl:text> Loading ...</xsl:text>
@@ -245 +250 @@
         </li>
           </ul>
-        you will find a set of samples you can test-drive to give you an idea of the
-        sorts of raw data analysis that can be done.  The syntax used is called
-        <a href="https://en.wikipedia.org/wiki/SPARQL" target="_blank">SPARQL</a> (pronounced &quot;sparkle&quot;).  If you are unfamiliar
-        with this syntax, there are a variety of tutorials available online where you can learn about query language, such as
-        the one done by <a href="https://jena.apache.org/tutorials/sparql.html" target="_blank">Apache Jena</a>, an Open Source
-        initiative that provides a variety of Semantic Web and Linked Data tools.
-        As before, these samples are editable so you are free to
-        change them however you wish to adjust the analysis undertaken, or once you're mastered the
-        query syntax, develop completely original forms of
-        analysis.
-      </p>
-
-        
-        <p>
-          We suggest starting with viewing <a href="{$library_name}/collection/{$collName}/page/sgvizler">sample visualizations</a> to see what's possible,
-          and making minor edits to that to adjust what is visualized.
-          Then, if you want to start visualizing the data in a more substantially different way
-          or else export the data for more detailed analysis under your own control,
-          switch to the <a href="{$library_name}/collection/{$collName}/page/sparql">SPARQL-based data analysis</a> page to ensure the underlying
-          data retrieved is as you intended.  Then take the newly developed SPARQL query back to the visualizer page, and through the
-          additional text-input fields provided there, develop the visualization.
-
-          <!--
-        This is a good place to go to see what sort of data is being stored, and we provide some sample
-        queries to get you going.  But if you like to see the data presented more visually, we suggest
-        you try out the
-
-        <li><a href="{$library_name}/collection/{$collName}/page/sgvizler">SGVizler page</a></li>
--->
-        </p>
+          you will find a set of samples you can test-drive to give you an idea of the
+          sorts of raw data analysis that can be done.  The syntax used is called
+          <a href="https://en.wikipedia.org/wiki/SPARQL" target="_blank">SPARQL</a> (pronounced &quot;sparkle&quot;).  If you are unfamiliar
+          with this syntax, there are a variety of tutorials available online where you can learn about query language, such as
+          the one done by <a href="https://jena.apache.org/tutorials/sparql.html" target="_blank">Apache Jena</a>, an Open Source
+          initiative that provides a variety of Semantic Web and Linked Data tools.
+          As before, these samples are editable so you are free to
+          change them however you wish to adjust the analysis undertaken, or once you're mastered the
+          query syntax, develop completely original forms of
+          analysis.
+      </p>
+
+      
+      <p>
+        We suggest starting with viewing <a href="{$library_name}/collection/{$collName}/page/sgvizler">sample visualizations</a> to see what's possible,
+        and making minor edits to that to adjust what is visualized.
+        Then, if you want to start visualizing the data in a more substantially different way
+        or else export the data for more detailed analysis under your own control,
+        switch to the <a href="{$library_name}/collection/{$collName}/page/sparql">SPARQL-based data analysis</a> page to ensure the underlying
+        data retrieved is as you intended.  Then take the newly developed SPARQL query back to the visualizer page, and through the
+        additional text-input fields provided there, develop the visualization.
+
+      </p>
 
       </div>
@@ -285 +283 @@
           });
       </gsf:script>
-
 
 <!--
@@ -298 +295 @@
       </p>
 
--->
-
-
-<!--      
-      <div style="padding-top: 6px;">
-        So the above visualization show how many times each country has entered, over the years, but what about how
-        many times countries have won?  And what about how many times countries have won per head of population?
-        <ul>
-          <li>
-        <a href="{$library_name}/collection/{$collName}/page/sgvizler"><i>Show me more visualizations ...</i></a>
-          </li>
-        </ul>
-      </div>
 -->
 
@@ -346 +330 @@
       </p>
       
-      <!--
-          The resulting SPARQL query result set (JSON format
-        selected for output) is then ingested into a Greenstone
-        DL collection, and used in a variety of ways.
-
-        
-
-        the starting point is the
-        formulation of a SPARQL query to retrieve from DBpedia
-        entries about all the entrants in the contest over the
-        years:
-      -->
-
 
       <div id="dl-tech-show-more">
@@ -374 +345 @@
           returned to be prior to 2020.
         </p>
-        
+<!--
+#    bind( REPLACE(str(?country_in_year), ".*(\\d{4})", "$1") AS ?year).
+
+PREFIX rdfs: &lt;http://www.w3.org/2000/01/rdf-schema#&gt;
+xsd:
+skos:
+prov:
+
+dbc:
+dbp:
+
+dct:
+-->     
         <pre style="background-color: #fff; color: #000; padding: 12px; margin-right: 6px;">
 SELECT ?countries_in_esc_by_year ?country_in_year (?year AS ?Year) (?country AS ?Country) ?entrant (?entrant_label AS ?Creator) ?song (?song_label AS ?Title) (?was_derived_from AS ?WikipediaURL)
@@ -381 +364 @@
 
     ?country_in_year dct:subject ?countries_in_esc_by_year.
-#    bind( REPLACE(str(?country_in_year), ".*(\\d{4})", "$1") AS ?year).
     ?country_in_year dbp:year ?year.
     FILTER ( xsd:integer(?year) &lt; 2020).