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    Using SPARQL is like being a detective in a vast archive collection. Instead of browsing through each document one by one, you use a query language that lets you instantly retrieve information that matches your criteria.
    Using <b>SPARQL</b> is like being a detective in a vast archive collection. Instead of browsing through each document one by one, you use a language that allows you to instantly find the information matching your criteria with a single precise query.


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    In the context of ''Resistance in Belgium'', SPARQL makes it easier to access data on resistance members: place of birth, residence, official recognition statuses, or affiliation with resistance organizations.
    In the context of <i>Resistance in Belgium</i>, SPARQL makes it easier to access data on resistance members: place of birth, residence, official recognition statuses, or affiliation with a resistance organization.


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    '''With SPARQL, you can:'''
    With SPARQL, you can:
    * Filter and cross-reference information;
    * <b>Filter and cross-reference information</b>;
    * Customize your searches with specific criteria;
    * <b>Customize your searches</b> with specific criteria;
    * Extract precise data without manually browsing thousands of records;
    * <b>Extract precise data</b> without going through thousands of records manually;
    * Generate visualizations to better interpret your results.
    * <b>Generate visualizations</b> to better interpret your results.


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    This approach gives you valuable autonomy in analyzing the dataset. You can not only extract name lists, but also identify complex relationships, such as individuals affiliated with multiple organizations or holding various recognition statuses.
    This approach gives you <b>valuable autonomy</b> when analyzing data from <i>Resistance in Belgium</i>. You can not only extract <b>lists of names</b>, but also identify <b>complex connections</b>, such as members affiliated with multiple organizations or recognized with different statuses.


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    SPARQL gives you the superpower coveted by researchers everywhere: asking ultra-specific questions and getting answers within milliseconds. Of course, like any superpower, it takes a bit of practice to master. But don’t worry—this tutorial is here to guide you and turn challenges into opportunities. Who said archival research had to be dusty?
    SPARQL gives you the <b>superpower every researcher wants</b>: ask an ultra-specific question and see the results appear in milliseconds. Of course, like any superpower, it takes some practice to master. But don’t worry! This tutorial is here to guide you and turn challenges into opportunities… Who said archive research had to be dusty?


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    <span style="color:#158f68;">Ready to master the force of SPARQL? Let’s go.</span>
    <b>Ready to master the force of SPARQL? Let’s go!</b>


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    Now that you have a general idea of what SPARQL is, here’s a strategy to help you get started with your research.
    Now that you have a general idea of what SPARQL is, here’s a strategy to help you start your research.


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    There are tools that assist in writing SPARQL queries, but to gain autonomy and flexibility, it’s often more effective to start from an existing query and adapt it to your needs.
    There are <b>tools to help write SPARQL queries</b>, but to gain <b>autonomy</b> and <b>flexibility</b>, it’s often more effective to start from an <b>existing query</b> and adapt it to your specific needs.


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    This approach allows you to:
    This approach helps you:
    * Save time;
    * <b>Save time</b>;
    * Avoid common errors;
    * <b>Avoid common errors</b>;
    * Personalize your research with precision.
    * <b>Personalize your searches</b> with precision.


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    '''To get started, you can:'''
    This tutorial will guide you through the basics of SPARQL and show you how to identify the key elements to successfully adapt an existing query.
    * Consult our examples of SPARQL queries;
    * Use artificial intelligence tools capable of generating queries based on your needs.
     
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    This tutorial will guide you through the basics of SPARQL and teach you how to identify the key elements needed to adapt an existing query effectively.
     
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    <div style="border:2px ;padding:9px; background-color:#158f68;">
    <span style="color:#FFFFFF;"><big>3/ The Basics of a SPARQL Query</big></span> </div>
    <br>
     
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    A SPARQL query is built around two essential components:
    * '''SELECT''' – defines which information to display in the results.
    * '''WHERE''' – filters the data by setting specific conditions that the results must meet.
     
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    '''Simple Example'''
     
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    Here’s a query that retrieves the first and last names of people in the database. 
    Lines starting with <code>#</code> are comments to help explain each part of the query.
     
    <syntaxhighlight lang="sparql">
    SELECT ?lastName ?firstName
    WHERE {
      ?person wdt:P1 wd:Q2 ;    # Selects individuals
              wdt:P3 ?lastName ; # Retrieves last name
              wdt:P2 ?firstName .# Retrieves first name
    }
    </syntaxhighlight>
     
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    '''Explanation:'''
    1. <code>SELECT ?lastName ?firstName</code>: specifies that we want to display the values of the <code>?lastName</code> and <code>?firstName</code> variables.
    2. <code>WHERE { ... }</code>: defines the conditions the data must meet to be included in the results.
     
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    '''Line-by-line breakdown:'''
    * <code>?person wdt:P1 wd:Q2</code>: selects items classified as human beings (P1 = item type, Q2 = person).
    * <code>wdt:P3 ?lastName</code>: retrieves the person’s last name.
    * <code>wdt:P2 ?firstName</code>: retrieves the person’s first name.
     
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    You now know the foundation of any SPARQL query. You’ll be able to adapt them to your needs by selecting the right variables and adding filters, extra columns, or advanced options.


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    Revision as of 12:17, 1 April 2025

    1/ Introduction to SPARQL


    Using SPARQL is like being a detective in a vast archive collection. Instead of browsing through each document one by one, you use a language that allows you to instantly find the information matching your criteria with a single precise query.

    In the context of Resistance in Belgium, SPARQL makes it easier to access data on resistance members: place of birth, residence, official recognition statuses, or affiliation with a resistance organization.

    With SPARQL, you can:

    • Filter and cross-reference information;
    • Customize your searches with specific criteria;
    • Extract precise data without going through thousands of records manually;
    • Generate visualizations to better interpret your results.

    This approach gives you valuable autonomy when analyzing data from Resistance in Belgium. You can not only extract lists of names, but also identify complex connections, such as members affiliated with multiple organizations or recognized with different statuses.

    SPARQL gives you the superpower every researcher wants: ask an ultra-specific question and see the results appear in milliseconds. Of course, like any superpower, it takes some practice to master. But don’t worry! This tutorial is here to guide you and turn challenges into opportunities… Who said archive research had to be dusty?

    Ready to master the force of SPARQL? Let’s go!

    2/ Strategy for Your First Queries


    Now that you have a general idea of what SPARQL is, here’s a strategy to help you start your research.

    There are tools to help write SPARQL queries, but to gain autonomy and flexibility, it’s often more effective to start from an existing query and adapt it to your specific needs.

    This approach helps you:

    • Save time;
    • Avoid common errors;
    • Personalize your searches with precision.

    This tutorial will guide you through the basics of SPARQL and show you how to identify the key elements to successfully adapt an existing query.

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