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A relational DBMS is supposed to treat missing information in a systematic and context-insensitive manner. If a value is missing for a specific attribute of a row, it is not always possible to decide whether a certain condition evaluates to true or false. Missing information is represented by null values in the relational world. The term null value is actually misleading, because it does not represent a value; it represents the fact that a value is missing. For example, null marker would be more appropriate. However, null value is the term most commonly used, so this book uses that terminology. Figure 1-2 shows how null values appear in a partial listing of the EMPLOYEES table.

An intermediate Perl programmer has started using Perl in an object-oriented manner. He or she is confident with using references (e.g., dispatch tables) and object-oriented Perl. The contents of the book Perl Best Practices by Damian Conway (O Reilly, 2005) make sense to intermediate programmers, in that they are confident that they know which bits of the book s advice are sound for them and which to ignore. The next step for intermediate-level programmers is to start writing code as if it was a CPAN module and to make use of Perl s testing infrastructure. If you re an intermediate-level Perl programmer, you can make good use of this book, but you will need to pay attention to some of the more advanced concepts. The Moose section in 2 may be of particular use to you.

The act of creating a digital image from an object is known as scanning. The hardware used during this procedure is known as a scanner. Many different types of hardware exist, from small units intended for personal use, to high volume scanners that can process many thousands of documents or files quickly. Although some photocopiers are capable of scanning a physical document and saving an image in a format that s acceptable to Opticon, many Concordance administrators who oversee a large volume of documents rely on a third-party vendor to create associated raster images corresponding to coded and OCR data intended for a Concordance database. A scanner is commonly connected to a workstation, so that scanning personnel can review the results of a scan, and select an output image format. This term refers to the specific way in which image data is organized in a file. Several different types of image formats exist. You can determine a file s format from its file extension. You might be familiar with some of the more popular file formats that are used to transfer image data on the World Wide Web, such as the Graphics Interchange Format (GIF) and the Joint Photographic Experts Group format (JPEG). These two particular file formats are well suited for use on the Web, in that they produce files that are comparatively small in size as a result of data compression.

Figure 1-2. Nulls represent missing values. Null values imply the need for a three-valued logic, such as implemented (more or less) in the SQL language. The third logical value is unknown.

Note Null values have had strong opponents and defenders. For example, Chris Date is a well-known opponent of null values and three-valued logic. His articles about this subject are highly readable, entertaining, and clarifying.

The term compression refers to a method of reducing a file s size. Several types of compression methods exist. Compression methods employ a mathematical algorithm a series of codified steps used to determine how a file should be compressed. If some data in a file is lost as a result of a compression method, its algorithm is said to be lossy. If no data in a file is lost, an algorithm is said to be lossless. Lossy algorithms don t automatically imply inferior file quality. For example, a compression algorithm applied to an audio file might remove data corresponding to frequencies that lie outside the range of human hearing. The resulting file will be smaller than the original and information will have been lost, though this fact will be undetectable to the human ear. Lossless compression algorithms also reduce file size, but the compressed file is considered to be an exact copy of the original, uncompressed image. These algorithms are often used when the resulting quality of a digital file is more important than reducing its overall size.

See HTML::FormFu::Element::reCAPTCHA in the HTML::FormFu distribution for use of reCAPTCHA with HTML::FormFu.