The Semantic Indexer can be used to index a collection of documents and then store them in a database (storage) engine.

Usage: semantic_indexer [options] <directory to index>

Options: 
  --help                                   Produce this help message
 
  --version                                Print version information
  
  -v [ --verbose ]                         Verbose output
  
  -c [ --collection ] arg (=My Collection) The name of the collection to index
  
  -e [ --encoding ] arg (=iso-8859-1)      Set the default encoding

  --term_type arg (=nouns)                 Set the term type to be extracted

  --document_minimum arg (=1)              Set the minimum number of times a
                                           term must appear in a document to
                                           be included in the index

  --collection_minimum arg (=3)            Set the minimum number of times a
                                           term must appear across the
                                           collection to be included in the
                                           index
  
  --collection_maximum arg (=0.2)          Set the maximum document-frequency
                                           (between 0 and 1) for a term to be
                                           included in the index
  
  --disable_stemmer                        Turn off the stemming of terms
  
  -f [ --file ] arg                        Write the term index data to a file
  
  -s [ --sqlite ] arg                      The SQLite 3 database file to use.
                                           the file will be created if needed
  
  -m [ --mysql ] arg                       The MySQL database name
  -u [ --mysql_username ] arg (=aaron)     The MySQL database username
  -p [ --mysql_password ] arg              The MySQL database password
  -h [ --mysql_hostname ] arg (=localhost) The MySQL database host

Once a collection of documents is indexed, the Semantic Search tool can be used to query the collection. Automatic clustering and summarization of the search results are also available.

Usage: semantic_search [options] "query"

Options: 
  --help                                   produce this help message

  --version                                print version information

  -c [ --collection ] arg (=My Collection) The collection to search

  --summaries                              Print summaries for each document

  --spread arg (=0.3)                      a value from 0 to 1, specifying how
                                           broad the search. 1 = most broad

  --cluster                                output results in clusters instead
                                           of a list

  --num_clusters arg (=4)                  the number of clusters

  -s [ --sqlite ] arg                      the SQLite 3 database file to use

  -m [ --mysql ] arg                       the MySQL database name
  -u [ --mysql_username ] arg (=aaron)     the MySQL database username
  -p [ --mysql_password ] arg              the MySQL database password
  -h [ --mysql_hostname ] arg (=localhost) the MySQL database host