From 3c57f71b66b45a0a35e6265a55daab5c2cdddf17 Mon Sep 17 00:00:00 2001
From: Pierre-Antoine Champin <pierre-antoine@w3.org>
Date: Wed, 14 Aug 2024 12:39:27 +0200
Subject: [PATCH 1/2] typos intro

---
 specs/solid-indexing/index.html | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/specs/solid-indexing/index.html b/specs/solid-indexing/index.html
index 1958f6c..785c7f8 100644
--- a/specs/solid-indexing/index.html
+++ b/specs/solid-indexing/index.html
@@ -33,11 +33,11 @@
     <h2>Introduction</h2>
 
     <p>The Web is made of documents like web pages, API data, images and so on that are linked together. They are
-      information that anyone with the proper authorization can access to. Documents can be found everywhere
+      information that anyone with the proper authorization can access. Documents can be found everywhere
       on the web and we often have to follow the links between them in order to find relevant information. The
       web is therefore browsable but browsing it manually can be very long to find what we are searching for.
       That's why search engines have been invented. They browse the web for us by following the
-      links they find in documents so they can tell us where to get documents about a particular subject.
+      links, they find in documents so they can tell us where to get documents about a particular subject.
     </p>
 
     <p>Search engines are doing indexing. Indexing is a largely used mechanism that allow to find data faster thanks to
@@ -51,8 +51,8 @@ <h2>Introduction</h2>
       traditionnal Web except that information is described to machines so they can "understand" what documents and the 
       things they contain are about. This way we can directly get the information we need without having to look at the 
       content of documents. This is made possible thanks to the Resource Description Framework (RDF). On this improved Web, 
-      knowledge can be deducted automatically by machines. For instance, if a document is about a person and the machines 
-      know a person is a human, they can deduce that this person is a human. Search engines can benefit a lot from the web 
+      knowledge can be deduced automatically by machines. For instance, if a document is about a person and the machines 
+      know that a person is a human, they can deduce that this person is a human. Search engines can benefit a lot from the web 
       of data and some engines already take advantage of it to better respond to our queries.
     </p>
 
@@ -305,4 +305,4 @@ <h3>Relation to Solid Type indexes</h3>
   </section>
 </body>
 
-</html>
\ No newline at end of file
+</html>

From 6c1a9b8c3806a5bfbc244622b8a2356cab87bb3f Mon Sep 17 00:00:00 2001
From: Pierre-Antoine Champin <pierre-antoine@w3.org>
Date: Wed, 14 Aug 2024 14:53:15 +0200
Subject: [PATCH 2/2] typos section 2

---
 specs/solid-indexing/index.html | 27 +++++++++++++--------------
 1 file changed, 13 insertions(+), 14 deletions(-)

diff --git a/specs/solid-indexing/index.html b/specs/solid-indexing/index.html
index 785c7f8..8365b15 100644
--- a/specs/solid-indexing/index.html
+++ b/specs/solid-indexing/index.html
@@ -121,7 +121,7 @@ <h3>Namespaces</h3>
   <section>
     <h2>Indexes</h2>
 
-    <p>This document proposes the <a href="./ontology.ttl" alt="">Indexing ontology</a> as vocabulary for the indexes.
+    <p>This document proposes the <a href="./ontology.ttl" alt="">Indexing ontology</a> as vocabulary for describing indexes.
       This ontology is using [[SHACL]] shapes to
       express what is indexed.</p>
 
@@ -129,7 +129,7 @@ <h2>Indexes</h2>
       <h3>General indexes</h3>
 
       <p>An index is a RDF document [[RDF11-CONCEPTS]] of type <code>idx:Index</code> containing entries which point to
-        instances conforming to a particular shape. The shape the index or an entry is targeting is expressed with the
+        instances conforming to a particular shape. The shape that the index or an entry is targeting is expressed with the
         <code>idx:hasShape</code> predicate.
       </p>
 
@@ -152,22 +152,21 @@ <h3>General indexes</h3>
     </section>
 
     <section>
-      <h3>Meta indexes</h3>
+      <h3>Meta-indexes</h3>
 
-      <p>Meta indexes are indexes that are indexing other indexes. They can be used to divide a entire index into
-        smaller parts. While more queries are needed to load the data of interest, meta indexes might reduce the
+      <p>Meta-indexes are indexes that are indexing other indexes. They can be used to divide a entire index into
+        smaller parts. While more queries are needed to load the data of interest, meta-indexes might reduce the
         size of the transfered data by targeting parts with precision. It can also give faster results especially
-        when combined with an heuristic like detailed in the source selection section.</p>
+        when combined with a heuristics like the one detailed in <a href="#source-selection"></a>.</p>
 
-      <aside class="example" title="Meta index listing indexes having people living in Paris and Toulouse.">
+      <aside class="example" title="Meta-index listing indexes having people living in Paris and Toulouse.">
         <pre data-include="./example2.ttl" data-include-format='text' />
       </aside>
 
-      <section>
+      <section id="source-selection">
         <h4>Source selection</h4>
 
-        <p>Source selection is a technique that consists in selecting indexes that are juged relevant in a bunch of
-          indexes.
+        <p>Source selection is a technique that consists in selecting from a set of indexes those that are judged relevant.
           This way it's possible to get results faster. This technique relies on one or several heuristics. One example
           of
           heuristic is the number of item that can be found in an index. Setting a minimun number of results might
@@ -179,7 +178,7 @@ <h4>Source selection</h4>
           are considered all equal. This can be very ineffiscient as some indexes without any valid results might be
           queried.</p>
 
-        <aside class="example"
+        <aside id="example-source-selection" class="example"
           title="A source selection index that lists some distributed indexes of people living in Paris. The idx:hasCount property indicates how much people living in Paris are listed by each distributed index.">
           <pre data-include="./example4.ttl" data-include-format='text' />
         </aside>
@@ -190,12 +189,12 @@ <h4>Source ordering</h4>
 
         <p>Source ordering consists in querying the most relevant indexes first. This technique uses one or several
           criterias to order the indexes. One example of a criteria is the number of results contained in an index.
-          If we take the previous example the <code>:entry2</code> index will be queried before the <code>:entry1</code>
-          index as it presents more results (the value of the <code>idx:hasCount</code> is higher).
+          In <a href="#example-source-selection"></a> the subindex of <code>:entry2</code> will be queried before that of <code>:entry1</code>
+          as it presents more results (the value of the <code>idx:hasCount</code> is higher).
         </p>
 
         <p>Source ordering can be used to get results faster as it introduces a priority level between indexes based on
-          some heuristic(s). Without source ordering results can be slower to come especially when relevant data is part
+          some heuristics. Without source ordering results can be slower to come especially when relevant data is part
           of an index that is at the end of the querying queue.
         </p>
       </section>