diff --git a/asterixdb/asterix-doc/src/site/markdown/aql/primer.md b/asterixdb/asterix-doc/src/site/markdown/aql/primer.md
index de187b0..72406c0 100644
--- a/asterixdb/asterix-doc/src/site/markdown/aql/primer.md
+++ b/asterixdb/asterix-doc/src/site/markdown/aql/primer.md
@@ -44,7 +44,7 @@
 Once you have reached the end, you will be fully armed and dangerous, with all the basic AsterixDB knowledge
 that you'll need to start down the path of modeling, storing, and querying your own semistructured data.
 
-## ADM: Modeling Semistructed Data in AsterixDB ##
+## ADM: Modeling Semistructured Data in AsterixDB ##
 In this section you will learn all about modeling Big Data using
 ADM, the data model of the AsterixDB BDMS.
 
diff --git a/asterixdb/asterix-doc/src/site/markdown/sqlpp/filters.md b/asterixdb/asterix-doc/src/site/markdown/sqlpp/filters.md
index 6b8e00f..be1e2d4 100644
--- a/asterixdb/asterix-doc/src/site/markdown/sqlpp/filters.md
+++ b/asterixdb/asterix-doc/src/site/markdown/sqlpp/filters.md
@@ -63,7 +63,7 @@
 partitioning to only access some components and safely filter out the
 remaining components, thus reducing query times. For instance,
 referring to our
-[TinySocial](primer.html#ADM:_Modeling_Semistructed_Data_in_AsterixDB)
+[TinySocial](primer.html#ADM:_Modeling_Semistructured_Data_in_AsterixDB)
 example, suppose a user always retrieves tweets from the
 `TweetMessages` dataset based on the `send-time` field (e.g., tweets
 posted in the last 24 hours). Since there is not a secondary index on
diff --git a/asterixdb/asterix-doc/src/site/markdown/sqlpp/fulltext.md b/asterixdb/asterix-doc/src/site/markdown/sqlpp/fulltext.md
index 1328ed9..1d5b8da 100644
--- a/asterixdb/asterix-doc/src/site/markdown/sqlpp/fulltext.md
+++ b/asterixdb/asterix-doc/src/site/markdown/sqlpp/fulltext.md
@@ -54,7 +54,7 @@
         from ChirpMessages msg
         where ftcontains(msg.messageText, "voice", {"mode":"any"});
 
-The DDL and DML of TinySocial can be found in [ADM: Modeling Semistructed Data in AsterixDB](../sqlpp/primer-sqlpp.html#ADM:_Modeling_Semistructed_Data_in_AsterixDB).
+The DDL and DML of TinySocial can be found in [ADM: Modeling Semistructured Data in AsterixDB](../sqlpp/primer-sqlpp.html#ADM:_Modeling_Semistructured_Data_in_AsterixDB).
 
 The `Expression1` is an expression that should be evaluable as a string at runtime as in the above example
 where `msg.messageText` is a string field. The `Expression2` can be a string, an (un)ordered list
diff --git a/asterixdb/asterix-doc/src/site/markdown/sqlpp/primer-sqlpp.md b/asterixdb/asterix-doc/src/site/markdown/sqlpp/primer-sqlpp.md
index 40b81d6..48eba96 100644
--- a/asterixdb/asterix-doc/src/site/markdown/sqlpp/primer-sqlpp.md
+++ b/asterixdb/asterix-doc/src/site/markdown/sqlpp/primer-sqlpp.md
@@ -45,7 +45,7 @@
 Once you have reached the end of this tutorial, you will be fully armed and dangerous, with all the basic AsterixDB knowledge
 that you'll need to start down the path of modeling, storing, and querying your own semistructured data.
 
-## ADM: Modeling Semistructed Data in AsterixDB ##
+## ADM: Modeling Semistructured Data in AsterixDB ##
 In this section you will learn all about modeling Big Data using
 ADM, the data model of the AsterixDB BDMS.
 
diff --git a/asterixdb/asterix-doc/src/site/markdown/sqlpp/similarity.md b/asterixdb/asterix-doc/src/site/markdown/sqlpp/similarity.md
index 8118126..a0e6ab0 100644
--- a/asterixdb/asterix-doc/src/site/markdown/sqlpp/similarity.md
+++ b/asterixdb/asterix-doc/src/site/markdown/sqlpp/similarity.md
@@ -45,7 +45,7 @@
 AsterixDB supports [edit distance](http://en.wikipedia.org/wiki/Levenshtein_distance) (on strings) and
 [Jaccard](http://en.wikipedia.org/wiki/Jaccard_index) (on sets).  For
 instance, in our
-[TinySocial](../sqlpp/primer-sqlpp.html#ADM:_Modeling_Semistructed_Data_in_AsterixDB)
+[TinySocial](../sqlpp/primer-sqlpp.html#ADM:_Modeling_Semistructured_Data_in_AsterixDB)
 example, the `friendIds` of a Gleambook user forms a set
 of friends, and we can define a similarity between the sets of
 friends of two users. We can also convert a string to a set of grams of a length "n"