diff --git a/asterix-doc/src/site/markdown/SimilarityQuery.md b/asterix-doc/src/site/markdown/SimilarityQuery.md
index 6f332ea..7f6f8ae 100644
--- a/asterix-doc/src/site/markdown/SimilarityQuery.md
+++ b/asterix-doc/src/site/markdown/SimilarityQuery.md
@@ -1,7 +1,7 @@
 
-# AsterixDB  Support of Similarity Queries # 
+# AsterixDB  Support of Similarity Queries #
 
-## Motivation ## 
+## Motivation ##
 
 Similarity queries are widely used in applications where users need to
 find records that satisfy a similarity predicate, while exact matching
@@ -14,7 +14,7 @@
 users who have similar friends. To meet this type of needs, AsterixDB
 supports similarity queries using efficient indexes and algorithms.
 
-## Data Types and Similarity Functions ## 
+## Data Types and Similarity Functions ##
 
 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
@@ -33,7 +33,7 @@
 to convert strings to sets, and the
 [similarity functions](AsterixDBFunctions.html#Similarity_Functions).
 
-## Similarity Selection Queries ## 
+## Similarity Selection Queries ##
 
 The following [query](AsterixDBFunctions.html#edit-distance)
 asks for all the Facebook users whose name is similar to
@@ -78,7 +78,7 @@
 using `simfunction` and then specify the threshold `0.6f` using
 `simthreshold`.
 
-## Similarity Join Queries ## 
+## Similarity Join Queries ##
 
 AsterixDB supports fuzzy joins between two sets. The following
 [query](AdmAql101.html#Query_5_-_Fuzzy_Join)
@@ -103,7 +103,7 @@
                                 }
         };
 
-## Using Indexes to Support Similarity Queries ## 
+## Using Indexes to Support Similarity Queries ##
 
 AsterixDB uses two types of indexes to support similarity queries, namely
 "ngram index" and "keyword index".