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Discrete random variables are those random variables that take on a nite, or perhaps a countably in nite, number of values so the associated sample space has a nite, or countably in nite, number of points We discuss several discrete random variables in this chapter Later, we will discuss several random variables that can take on an uncountably in nite number of values; these random variables are called continuous random variables If the random variable is discrete, we call the function giving the probability the random variable takes on any of its values, say P(X = x), the probability distribution function of the random variable X We will often abbreviate this as the PDF for the random variable X Random variables occur with different properties and characteristics; we will discuss some of these in this chapter We begin with the probability distribution function suggested by the example of drawing a slip of paper from a hat

view to those data sets. As discussed in 8, semantic information access offers improved ways to search for and browse information and, through an understanding of the relationship between documents, to improve the user interface. Semantic access to information depends in turn on the supporting technologies described in the preceding chapters; while the creation and maintenance of ontologies in digital libraries create problems of ontology management which require new insights into ontology engineering. The discussion is illustrated with a particular case study in which semantic knowledge technology is being introduced into the BT digital library. This provides an opportunity not just to trial the feasibility of the technology, but also to gauge the users reactions and better understand their requirements. Finally, it should be remembered that digital libraries are themselves a particular form of content management application. Much of what is being learned here is relevant in the wider context of intelligent content management. To underline this point, the chapter concludes by looking beyond the current concept of the digital library to how semantic technology will change the way in which information is published, thereby changing the whole concept of a library.

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Constructor static CClientMtmRegistry* NewL(CMsvSession& aMsvSession, TTimeIntervalMicroSeconds32 aTimeoutMicroSeconds32) This method returns a new CClientMtmRegistry object. aMsvSession reference to an MsvSession for this thread. aTimeoutMicroSeconds time to wait before unloading MTMs in microseconds (defaults to 30 seconds). Member Methods CBaseMtm* NewMtmL(TUid aMtmTypeUid) This method returns a pointer to an object derived from a CBaseMtm. aMtmTypeUid the UID of the desired MTM.

The experiment of drawing one of ve slips of paper from a hat at random suggests that the probability of observing any of the numbers 1 through 5 is 1/5, that is, P(X = x) = 1/5 for x = 1, 2, 3, 4, 5 is the PDF for the random variable X This is called a discrete uniform probability distribution function Not any function can serve as a probability distribution function All discrete probability distribution functions have these properties: If f (x) = P(X = x) is the PDF for a random variable X, then 1) 2)

Location is another important facet of context: a user looking for the nearest hotel will want to receive a different response depending on their current position User Pro les aim to enable a user to express and represent preferences about the way they wish to receive content for example as text only, or in large font, or as voice XML The Composite Capability/Preference Pro le (CC/PP) standard (discussed in the next subsection) has been designed explicitly to take user preferences into consideration 8414 Device Identi cation If device independence is achieved by client side interpretation of a universal mark-up language, then identi cation of device capabilities can be built into the browser However, if the server transformation model is taken, then there arises the problem of identifying the target device from the HTTP request Two approaches to this problem have emerged as common solutions.

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