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Add notes for 2019-02-21
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@ -1002,4 +1002,38 @@ $ curl -s -H "accept: application/json" -H "Content-Type: application/json" -X P
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- See this [issue on the VIVO tracker](https://jira.duraspace.org/browse/VIVO-1655) for more information about this endpoint
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- The old-school AGROVOC SOAP WSDL works with the [Zeep Python library](https://python-zeep.readthedocs.io/en/master/), but in my tests the results are way too broad despite trying to use a "exact match" searching
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## 2019-02-21
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- I wrote a script [agrovoc-lookup.py](https://github.com/ilri/DSpace/blob/5_x-prod/agrovoc-lookup.py) to resolve subject terms against the public AGROVOC REST API
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- It allows specifying the language the term should be queried in as well as output files to save the matched and unmatched terms to
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- I ran our top 1500 subjects through English, Spanish, and French and saved the matched and unmatched terms to separate files:
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```
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$ ./agrovoc-lookup.py -l en -i /tmp/top-1500-subjects.txt -om /tmp/matched-subjects-en.txt -or /tmp/rejected-subjects-en.txt
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$ ./agrovoc-lookup.py -l es -i /tmp/top-1500-subjects.txt -om /tmp/matched-subjects-es.txt -or /tmp/rejected-subjects-es.txt
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$ ./agrovoc-lookup.py -l fr -i /tmp/top-1500-subjects.txt -om /tmp/matched-subjects-fr.txt -or /tmp/rejected-subjects-fr.txt
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```
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- Then I generated a list of all the unique matched terms:
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```
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$ cat /tmp/matched-subjects-* | sort | uniq > /tmp/2019-02-21-matched-subjects.txt
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```
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- And then a list of all the unique *unmatched* terms using some utility I've never heard of before called `comm`:
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```
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$ sort /tmp/top-1500-subjects.txt > /tmp/subjects-sorted.txt
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$ comm -13 /tmp/2019-02-21-matched-subjects.txt /tmp/subjects-sorted.txt > /tmp/2019-02-21-unmatched-subjects.txt
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```
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- Generate a list of countries and regions from CGSpace for Sisay to look through:
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```
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dspace=# \COPY (SELECT DISTINCT text_value, count(*) FROM metadatavalue WHERE metadata_field_id = 228 AND resource_type_id = 2 GROUP BY text_value ORDER BY count DESC) to /tmp/2019-02-21-countries.csv WITH CSV HEADER;
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COPY 202
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dspace=# \COPY (SELECT DISTINCT text_value, count(*) FROM metadatavalue WHERE metadata_field_id = 227 AND resource_type_id = 2 GROUP BY text_value ORDER BY count DESC) to /tmp/2019-02-21-regions.csv WITH CSV HEADER;
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COPY 33
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```
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<!-- vim: set sw=2 ts=2: -->
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@ -42,7 +42,7 @@ sys 0m1.979s
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<meta property="og:type" content="article" />
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<meta property="og:url" content="https://alanorth.github.io/cgspace-notes/2019-02/" />
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<meta property="article:published_time" content="2019-02-01T21:37:30+02:00"/>
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<meta property="article:modified_time" content="2019-02-20T17:36:22-08:00"/>
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<meta property="article:modified_time" content="2019-02-20T18:20:09-08:00"/>
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<meta name="twitter:card" content="summary"/>
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<meta name="twitter:title" content="February, 2019"/>
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@ -89,9 +89,9 @@ sys 0m1.979s
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"@type": "BlogPosting",
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"headline": "February, 2019",
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"url": "https://alanorth.github.io/cgspace-notes/2019-02/",
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"wordCount": "5730",
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"wordCount": "5947",
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"datePublished": "2019-02-01T21:37:30+02:00",
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"dateModified": "2019-02-20T17:36:22-08:00",
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"dateModified": "2019-02-20T18:20:09-08:00",
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"author": {
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"@type": "Person",
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"name": "Alan Orth"
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@ -1294,6 +1294,44 @@ $ curl -s -H "accept: application/json" -H "Content-Type: applica
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<li>The old-school AGROVOC SOAP WSDL works with the <a href="https://python-zeep.readthedocs.io/en/master/">Zeep Python library</a>, but in my tests the results are way too broad despite trying to use a “exact match” searching</li>
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</ul>
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<h2 id="2019-02-21">2019-02-21</h2>
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<ul>
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<li>I wrote a script <a href="https://github.com/ilri/DSpace/blob/5_x-prod/agrovoc-lookup.py">agrovoc-lookup.py</a> to resolve subject terms against the public AGROVOC REST API</li>
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<li>It allows specifying the language the term should be queried in as well as output files to save the matched and unmatched terms to</li>
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<li>I ran our top 1500 subjects through English, Spanish, and French and saved the matched and unmatched terms to separate files:</li>
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</ul>
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<pre><code>$ ./agrovoc-lookup.py -l en -i /tmp/top-1500-subjects.txt -om /tmp/matched-subjects-en.txt -or /tmp/rejected-subjects-en.txt
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$ ./agrovoc-lookup.py -l es -i /tmp/top-1500-subjects.txt -om /tmp/matched-subjects-es.txt -or /tmp/rejected-subjects-es.txt
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$ ./agrovoc-lookup.py -l fr -i /tmp/top-1500-subjects.txt -om /tmp/matched-subjects-fr.txt -or /tmp/rejected-subjects-fr.txt
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</code></pre>
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<ul>
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<li>Then I generated a list of all the unique matched terms:</li>
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</ul>
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<pre><code>$ cat /tmp/matched-subjects-* | sort | uniq > /tmp/2019-02-21-matched-subjects.txt
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</code></pre>
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<ul>
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<li>And then a list of all the unique <em>unmatched</em> terms using some utility I’ve never heard of before called <code>comm</code>:</li>
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</ul>
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<pre><code>$ sort /tmp/top-1500-subjects.txt > /tmp/subjects-sorted.txt
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$ comm -13 /tmp/2019-02-21-matched-subjects.txt /tmp/subjects-sorted.txt > /tmp/2019-02-21-unmatched-subjects.txt
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</code></pre>
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<ul>
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<li>Generate a list of countries and regions from CGSpace for Sisay to look through:</li>
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</ul>
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<pre><code>dspace=# \COPY (SELECT DISTINCT text_value, count(*) FROM metadatavalue WHERE metadata_field_id = 228 AND resource_type_id = 2 GROUP BY text_value ORDER BY count DESC) to /tmp/2019-02-21-countries.csv WITH CSV HEADER;
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COPY 202
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dspace=# \COPY (SELECT DISTINCT text_value, count(*) FROM metadatavalue WHERE metadata_field_id = 227 AND resource_type_id = 2 GROUP BY text_value ORDER BY count DESC) to /tmp/2019-02-21-regions.csv WITH CSV HEADER;
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COPY 33
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</code></pre>
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<!-- vim: set sw=2 ts=2: -->
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@ -4,7 +4,7 @@
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<url>
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<loc>https://alanorth.github.io/cgspace-notes/2019-02/</loc>
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<lastmod>2019-02-20T17:36:22-08:00</lastmod>
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<lastmod>2019-02-20T18:20:09-08:00</lastmod>
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</url>
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<url>
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@ -209,7 +209,7 @@
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<url>
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<loc>https://alanorth.github.io/cgspace-notes/</loc>
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<lastmod>2019-02-20T17:36:22-08:00</lastmod>
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<lastmod>2019-02-20T18:20:09-08:00</lastmod>
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<priority>0</priority>
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</url>
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@ -220,7 +220,7 @@
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<url>
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<loc>https://alanorth.github.io/cgspace-notes/tags/notes/</loc>
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<lastmod>2019-02-20T17:36:22-08:00</lastmod>
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<lastmod>2019-02-20T18:20:09-08:00</lastmod>
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<priority>0</priority>
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</url>
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@ -232,13 +232,13 @@
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<url>
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<loc>https://alanorth.github.io/cgspace-notes/posts/</loc>
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<lastmod>2019-02-20T17:36:22-08:00</lastmod>
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<lastmod>2019-02-20T18:20:09-08:00</lastmod>
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<priority>0</priority>
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</url>
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<url>
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<loc>https://alanorth.github.io/cgspace-notes/tags/</loc>
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<lastmod>2019-02-20T17:36:22-08:00</lastmod>
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<lastmod>2019-02-20T18:20:09-08:00</lastmod>
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<priority>0</priority>
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</url>
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