Merge branch 'master' into jimahn/master_modify_similarityquery_page
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".