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exchange, ebusiness, EAI, IT architectures, CMS, knowledge management, portals, CRM, databases, and collaboration. XML s influence will increase dramatically over the next 10 years with the advent of the Semantic Web. Lastly, we turned a critical eye on the current state of XML meta data and why it is not enough to fulfill the goals of the Semantic Web. The evolution of meta data will expand into three levels: modeling of things, modeling of knowledge about things, and, finally, modeling closed worlds. In addition to modeling knowledge and worlds, we will expand to model the rules and axioms of logic in order for computers to automatically use and manipulate those worlds on our behalf. Finally, to apply those rules, standard inference engines, like CWM, will be created and embedded into many of the current IT applications. In conclusion, XML is a strong foundation for the Semantic Web. Its next significant stage of development is the advent of Web services, discussed in the next chapter.

The Bluetooth device address (BD_ADDR/48 bits), a public entity unique for each device. The address can be obtained through the inquiry procedure. A private user key (128 bits), a secret entity. The private key is derived during initialization and is never disclosed. A random number (128 bits), different for each new transaction. The random number is derived from a pseudo-random process in the Bluetooth unit.

This chapter offers a brief overview of some of the techniques that use frequency selective feedback to control the frequency of diode lasers. While interferometric feedback has been used in the past, it is the diffraction grating-based systems that currently dominate tunable diode laser research. This is largely due to the needs of the communications industry for large numbers of inexpensive, integrated single frequency laser sources at many different wavelengths. In response, tunable diode laser technology has developed to the point where semiconductor devices based on conceptually simple cavity designs can now be reliably fabricated. Much work is still underway in developing DFB and VCSEL systems. Reducing the DWDM frequency spacings and increasing delivery of higher output powers are two areas that are of considerable interest. There is also interest in expanding the wavelength range covered by tunable diode lasers. VCSELs that emit at 1.3 m and QC lasers that operate in the NIR are just two examples. Fortunately, since the cavity design of a tunable diode laser is generally simple, it can often be utilized in other semiconductor laser materials without too much modification. As a result, when a new semiconductor material like GaN is developed, tunable single frequency versions become commercially available soon after. Therefore, future diode lasers will emit radiation in new parts of the spectrum, with broader tuning ranges and higher output powers than currently available. This will increase the versatility of an already agile device in a continuing cycle of improvement.

At this point, if you haven t already, you may want to read 2, The Business Case for the Semantic Web. This will give you some practical ideas of how the processes discussed in this section could affect your business.

Detective controls are used in situations where it is more important to understand that something has happened that it was to prevent from happening. In some cases, a detective control will ensure that a desirable event did indeed occur, providing feedback that the process is working as intended. Evaluation of the detective controls requires proving that the detection occurs with a high degree of accuracy and reliability. When it is important to detect that an action has occurred, it will be equally important to rely on the control to not miss any valid occurrences where that detection should be taking place and to flag only those valid occurrences of predefined interest. To assess these controls, you will need to understand the trigger event and the mechanism used to identify it. Testing will lead you to conclude that falsely identifying occurrences, which were not valid (False Positives), and falsely ignoring occurrences, which should have been caught (False Negatives), are within some predetermined acceptable range of error rate. Detective controls do not prevent, deter, or correct data or actions associated with an event that is occurring. The risks associated with detective controls are the risks of not knowing a situation or event has occurred. If this failure to detect happens regularly, the control cannot be assessed as effective. When evaluating the cost/benefit for this control type, you must review what happens to the process if the event or situation is not detected and then assess the costs of this scenario against the cost of implementing and maintaining the control.