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The authors hope you realize that if you were to put a value greater than 1.0F in the BoostingQuery signature, you would cause it to become what it intuitively sounds like it should be. In this case the terms that match the second query in the signature would have their score increased, not decreased. Isn t that what boosting means Also, when you use this class, remember that if the multiplying factor causes the raw score to be greater than 1.0, it will be normalized back to 1.0. In this case the other results scores will also be adjusted. The next two sections deal with query-helper classes: synonyms and regular expression queries. Some people may find that the first one contains difficult-to-understand concepts, but its implementation is not problematical.

SQL Server 2005 has a new data type, xml, that is designed not just for holding XML documents (which are essentially character strings and can be stored in any character column big enough to hold them), but for processing XML documents. When we discussed parsing an XML document into a DOM tree, we didn t mention that once it s parsed, an XML document can be updated. Element contents and attribute values can be changed. Element occurrences can be added to and removed from the hierarchy. We won t update XML documents here, but the xml data type provides methods to do it. It s a different kind of SQL Server data type, and describing how to exploit it would take a book on its own maybe more than one. Our focus here is on what every database programmer needs to know: how to use the xml type to store and retrieve XML documents.

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This is exactly what the dataset is designed to do. A dataset stores relational data as collections of data tables. You met data tables briefly in the previous chapter when a System.Data.DataTable object was to hold schema information. In that instance, however, the data table contained only schema information, but in a dataset, the data tables contain both metadata describing the structure of the data and the data itself. Figure 13-1 shows the dataset architecture.

WordNet is a product of the Cognitive Science Laboratory of Princeton University, New Jersey. It is a lexical database of the English language where words have been grouped into synonyms of distinct concepts. Its homepage is http://wordnet.princeton.edu. This site even has an online page that provides quite a bit of information on any word you enter. Figure 13.2 shows the results of entering the word romance into the page. To get to the point where you can use WordNet to help with Lucene queries, you ll have to take several preliminary steps:

Summary

Either build the WordNet contribution classes from the source code, which is located at lucene_install_directory/contrib/wordnet/src/java/org/apache/ lucene/wordnet, or put the precompiled lucene-wordnet .jar file in your classpath. The .jar is located in the lucene_install_directory/contrib./wordnet/ directory. Download and expand the Prolog version of WordNet 3.0 as WNprolog3.0.tar.gz located at http://wordnet.princeton.edu/obtain. Make sure that the WordNet .jar file is in your classpath, and then utilizing the Syns2Index Java program included in the Lucene WordNet distribution, build the synonym index as follows:

Figure 13-1. Dataset architecture The architecture mirrors the logical design of a relational database. You ll see how to use data tables, data rows, and data columns in this chapter.

In this chapter, we covered how to construct more sophisticated queries using the following SQL features: The DISTINCT keyword to eliminate duplicates from the result set Subqueries, which are queries embedded in other queries The IN predicate, using lists of literals and lists returned by subqueries Aggregate functions such as MIN, MAX, SUM, and AVG The GROUP BY clause for categorizing aggregates CASE expressions for providing column values based on logical tests Functions for accessing the components of the datetime data type Correlation names Inner, outer, and other joins In the next chapter, you ll learn about another important database object: stored procedures.

wn_s.pl is WordNet s synonym file located in the WNprolog-3.0.tar.gz file you downloaded, and indexLocation is where you want Syns2Index to build the index.

Once you ve created the synonym file, you ll be able to use it in your classes to automatically supply synonyms for your queries. Listing 13.6 shows you how to employ this really handy feature.

tored procedures are programs run on the database server that allow you to package SQL in an optimal fashion for reuse. Writing stored procedures is a major study in itself. Our goal here is to introduce you to the rudiments of stored procedures so you understand how Visual Basic programs need to interact with them. In this chapter, we cover: Creating, modifying, and deleting stored procedures in SSMSE Using stored procedures in Visual Basic programs

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