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If you want to use information systems correctly, you must be aware of the semantics (the meaning of things) of the underlying data model. A careful choice for table names and column names is a good starting point, followed by applying those names as consistently as possible. For example, the attribute address can have many different meanings: home address, work address, mailing address, and so on. The meaning of attributes that might lead to this type of confusion can be stored explicitly in an additional semantic explanation to the data model. Although such a semantic explanation is not part of the formal data model itself, you can store it in a data dictionary a term explained in the next section.

You can view document-level tags in Concordance by clicking the Tag button located on the button bar at the bottom of the Concordance screen (see Figure 8-24). An area of the Concordance screen opens, displaying document-level tags; each tag has a label (the name of the tag) and is represented by an open check box. When a tag is enabled for a document, the check box contains a small, red check mark. The check box toggles, so that clicking it causes the check mark to disappear, thus untagging the document.

In this section, the following terms were introduced: Entities and attributes Generic versus specific Occurrences and attribute values Base data and derivable data Redundancy and consistency Integrity and constraints Data modeling Methods and techniques Logical and physical design Normalization Prototyping and RAD CASE tools Semantics

By default, Concordance creates a persistent tag with the label Default tag, so even if no user has created a tag in a new Concordance database, the Default tag will exist. (See the following section for a discussion of persistence.) This tag may be used for miscellaneous purposes, or in an ad hoc way, to group and ungroup documents quickly during your session.

Finally, since we now have more than one driver package, we should enforce the interface a little to make for easier checking of new code. Happily, Moose provides for this purpose. First, we create a role that indicates the requirement for a translate method: # commitmsg: provide interface definition role and update translator to check for it # lib/LolCatalyst/Lite/Interface/TranslationDriver.pm package LolCatalyst::Lite::Interface::TranslationDriver;

The preceding two sections defined the formal concept of an information system. You learned that if an organization decides to automate an information system, it typically uses some database technology. The term database can be defined as follows:

Definition A database is a set of data, needed to derive the desired information from an information system and maintained by a separate software program.

Tags are either persistent or non-persistent. A persistent tag exists in the database and is available even if no document uses that tag. Non-persistent tags only exist in the database as long as at least one document has the tag. If you remove a non-persistent tag from all records in a database, then close and reopen the tag screen, the tag will disappear. You set persistence from the Tag/Issue Management dialog described in the following section. When a tag is persistent, a reference to it is stored in the database s .INI file, in ASCII text, so that you can edit that file with a text editor to copy and paste persistent tags quickly from one database to another.

use Moose::Role; use namespace::clean -except => 'meta';

This separate software program is called the database management system (DBMS). There are many types of database management systems available, varying in terms of the following characteristics: Price Ability to implement complex information systems Supported hardware environment Flexibility for application developers Flexibility for end users Ability to set up connections with other programs Speed Ongoing operational costs User-friendliness

s Note You should use care when editing a database s .INI file. Before making an edit to the file, you should

requires 'translate';

The core of any DBMS consists of the code that handles physical data storage, data transport (input and output) between external and internal memory, integrity checking, and so on. This crucial part of the DBMS is commonly referred to as the engine or kernel.

make a full copy of the file, then verify that the database operates properly with the edited .INI file before releasing the database to users. Users should never be allowed to edit this file.