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information about the address's owner. In this style, each address is a complete address, less the information about its owner . The primary key of the address is a nonbusiness-meaningful key, which could be automatically system generated . Any query on an address first of all needs to query the component using the address book . It is always at least a two-step process, as illustrated in Figure 11 .16: The InvoiceManager cannot directly access the AddressBook to look up an address but must request it through the strong entity on which the address depends in that context . The associated strong component, such as Vendor in Figure 11 .16, has a cross-reference table relating each individual vendor to its address. This design also easily allows for a single address to be owned by many actors . In this case, the address book is what is called a weak component, meaning that it has no meaning or purpose if not used through another component that provides the missing information . A weak component is a component that manages a set of entities that are logically weak-even if the database representation has an independent primary key and hence does not conform to the definition of weak entity in relational database modeling theory . Note that a weak entity does not need to be implemented as a weak component . When denormalized, each address in the address book contains information fully identifying the owner of the address . There is redundancy of information between the user component and the address book, which also implies additional complexity in maintaining data integrity over time, and more risk of breaking the DAG (see 9) between components if particular care is not applied .

lI/1

To cut, choose Layer New Layer via Cut (Shift+ +J/Shift+Ctrl+J). This cuts the selected information and copies it to a new layer. The rst clue that a new layer has been created is that the marching ants disappear. The second clue that a new layer, called Layer 1, appears in the Layers panel, shown in Figure 8.15.

(a) 5th frame burst (Number of errors = 0)

1. Use the P hotkey to select the Pen tool from the Toolbox. 2. Use the Pen tool to create a path, as shown in Figure 18.22.

6349,38

Using the Selection tools allows you to target precise areas on which to use the Content-Aware fill.

Given the likelihood that a KM initiative will at least temporarily upset operations, from management s perspective, there must be a compelling reason for making the corporate-wide investment in an initiative. Often, however, initially there are more questions than answers. For example, how much will implementing a KM initiative cost, both now and over the life of the project How long will it take to realize the benefits How much will an initiative detract from the work in progress What are the risks to the corporation What of the return on investment, and how can it be measured As described in more detail in 7, this latter determination is especially challenging, given that the current rules of accounting say that intangibles are recorded as assets only when they are purchased from another company, not when they are created internally. The next chapter explores Knowledge Management with a focus on the source of much of the intellectual capital in a knowledge organization, the employee.

4.5 THE BAG-OF-WORDS MODEL FOR POE S THE BLACK CAT In the next chapter the bug-of-words model is used. In this section we define it and discuss some of its limitations. However, in spite of these, it is still useful. Analyzing a text by only analyzing word frequencies is essentially the bag-of-words model. Because any random permutation of the text produces the same frequencies as the original version, word order is irrelevant. Note that cutting out each word of a paper version of the text, putting them into a bag, and then picking these out one by one produces a random order. So the term bug-ofwords is an appropriate metaphor. Since the bag-of-words model completely ignores word order, it clearly loses important information. For example, using Per1 it is not hard to randomize the words of a text. Output 4.6 contains the first few lines of a random permutation of The Black Cat by Poe. For a hint on how to do this, see problem 4.8.