Assign a thesaurus to be used by the NetricsQuery object. The thesaurus and the query fields should use the same character map.
Namespace: NetricsServerInterface
Assembly: NetricsServerInterface (in NetricsServerInterface.dll)
Syntax
Visual Basic (Declaration) |
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Public Sub useThesaurus( _ ByVal thesname As String, _ ByVal theswgt As Double _ ) _ Implements INetricsQuery.useThesaurus |
C# |
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public void useThesaurus( string thesname, double theswgt ) |
C++ |
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public: void useThesaurus( String thesname, double theswgt ) sealed |
J# |
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public void useThesaurus( string thesname, double theswgt ) |
JScript |
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public
function useThesaurus( thesname : String, theswgt : double ) |
Parameters
- thesname
- the name of the thesaurus
- theswgt
- the weight to give thesaurus matches
Implements
INetricsQuery.useThesaurus
Example
This sample shows an AND query where one of the querylets uses a Thesaurus.
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// This is an example of an AND query where different query strings can be used in a search across // different fields within a table. This requires first configuring a Simple query for each query // string along with the fields to be searched and then either "And" or "Or" them together. In this // we will query the "names" table using a query string against the "last" field and a another query // string against the "first" field. Each of these queries are referred to as a querylet. We will // apply a higher weight to the "last" field querylet and apply a the "nicknames" thesuaurs to the // "first" field querylet treating the related terms within the thesaurus as equivalent. using System; using NetricsServerInterface; class MyClass { private static NetricsServerInterface.NetricsServerInterface si = null; public static void Main() { try { String host = "localhost"; int port = 5051; si = new NetricsServerInterface.NetricsServerInterface(host, port); // Table is the TIBCO Patterns Engine table to be search/matched against query String table = "names"; // Going to use 2 NetricsQuery for the search configuration NetricsQuery[] nqs = new NetricsQuery[2]; // Create NetricsSearchOpts object using the defaults NetricsSearchOpts opts = new NetricsSearchOpts(); // Use Symmetric scoring to compare full texts of both query and record for similarity // Calculate lower score if record contains more data than what is in the query opts.scoreType((int)NetricsSearchOpts.score_types.SCORE_SYMMETRIC); // Create the NetricsSearchCfg pointing to the table to be searched/matched against NetricsSearchCfg tblCfg = new NetricsSearchCfg(table); // Query will contain the query string for the first querylet which is "last String query = "brown"; // FieldNames contain the fields within the table to be searhed/matched against. // If fieldNames is set to null then all fields will be searched/matched against String[] fieldNames = { "last" }; // Create a Simple query for the "last" names search nqs[0] = NetricsQuery.Simple(query, fieldNames, null); // Set up the second Simple query query = "den"; fieldNames[0] = "first"; nqs[1] = NetricsQuery.Simple(query, fieldNames, null); // Use the nicknames thesaurus for this querylet associated with "first" field search // and with the weight of 1.0 to treat related terms or synonyms the same. // i.e. "Den" is equivalent to "Dennis" nqs[1].useThesaurus("nicknames", 1.0); // QueryletWeights is an array that must be the same length as the number of querylets // and is the weight applied to each querylet in the search which impacts the similarity // scrore. In this case there will be two querylets that will be ANDed together to create // a single search configuration double[] queryletWeights = { 1.0, .5 }; // Now AND the two Simple querys together to create the final NetricsQuery for the search NetricsQuery nqAnded = NetricsQuery.And(queryletWeights, nqs); // Set the NetricsSearchCfg using the And'd NetricsQuery; tblCfg.setNetricsQuery(nqAnded); // Perform the search/match using the NetricsSearchCfg and NetricsSearchOpts NetricsSearchResponse resp = si.search(tblCfg, opts); String s = ""; // Get the results of the search/match NetricsSearchResult[] res = resp.getSearchResults(); // Create viables for result processing String[] xfieldNames; String[] xfields; // Iterate through the result records for (int i = 0; i < res.Length; i++) { // Get the fieldNames in the result record xfieldNames = res[i].getFieldNames(); // Get the data for each fieldName in result record xfields = res[i].getFields(); // Get the score for this result record double score = res[i].getMatchScore(); // Build the printline for the result record s = s + "Rank=" + i + ", Score=" + score.ToString(); for (int x = 0; x < xfields.Length; x++) { s = s + ", " + xfieldNames[x] + "=" + xfields[x]; } s = s + "\n"; } Console.WriteLine(s); } catch (NetricsException e) { Console.Write(e.getErrorDescription() + "\n"); } } } |