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Field Opcode Transaction ID Contacts Count Type Int32 Int32 Int32 Meaning ERCntCmdContactsCountReply (=116) PDU transaction identi er Count of Contact Cards in the database

We have seen previously that the bell-shaped curve arises when discrete random variables are added together Now we look at continuous random variables Suppose

How much could we learn from understanding the process which created it; for example the reasons why a particular approach is used, and why so many others are rejected All this information can be captured as the intellectual process itself is taking place, and treated as metadata The suggestion has even been made that the paper, as a linear narrative, may lose its monopoly as a medium of communication, at least in the scienti c world (de Waard, A 2005) Perhaps to be complemented by sets of triples, or at least annotated hypertext More prosaically one could imagine authors plagiarising their own, or even others work, by hyperlinking sections from previous work into new work, for example to provide a background to the new work To exploit its full bene ts, new technology demands new ways of working.

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Field Opcode Transaction ID Type Int32 Int32 Meaning ERCntCmdFetchAllGroups (=121) PDU transaction identi er

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The introduction of information technology should always be accompanied by a redesign of business processes One author has forcibly made the point that digital libraries must support new ways of intellectual work (Soergel, 2002) So our technology must be seamlessly integrated into the systems which support a user s work; and we must seek to go beyond the limitations of our paper-based metaphors and truly exploit the power of the technology To achieve all this, signi cant research is still needed Just as in other chapters authors have stressed the need for more research into the core semantic technologies, so here we stress the need for more research into exploiting those technologies to create the digital libraries of the future..

that we have n independent spins of the fair wheel, denoted by Xi , and we let the random variable X denote the sum so that X = X1 + X2 + X3 + + Xn For the individual observations, we know that the expected value is E(Xi ) = 1/2 and the variance can be shown to be Var(Xi ) = 1/12 In addition, we know that E(X) = E(X1 + X2 + X3 + + Xn ) = E(X1 ) + E(X2 ) + E(X3 ) + + E(Xn ) = 1/2 + 1/2 + 1/2 + + 1/2 = n/2 and since the spins are independent, Var(X) = Var(X1 + X2 + X3 + + Xn ) = Var(X1 ) + Var(X2 ) + Var(X3 ) + + Var(Xn ) = 1/12 + 1/12 + 1/12 + + 1/12 = n/12 The central limit theorem states that in this case, X has, approximately, a normal probability distribution with mean n/2 and standard deviation n/12 We abbreviate this by writing X N(n/2, n/12) If n = 3, this becomes X N(3/2, 1/2)

Field Opcode Transaction ID Type Int32 Int32 Meaning ERCntCmdFetchMoreGroups (=122) PDU transaction identi er

The value of n in the central limit theorem, as we have already stated, need not be very large To show how close the approximation is, we show the graph N(3/2, 1/2) in Figure 87 and then, in Figure 88, the graphs of N(3/2, 1/2) and f3 (x) superimposed We previously calculated, using f3 (x), that P(1/2 x 5/2) = 23/24 = 0958 33 Using the normal curve with mean 3/2 and standard deviation 1/2, we nd the

Encompassed within this research will be work to understand how the new ways of organising knowledge enable and demand new ways of performing knowledge work; so that the new technology can radically enhance our intellectual activity.

Groups Reply This reply includes zero or more groups. Each group has its identi er and its label. The list of contacts in the group is not included in the reply. The list of groups is terminated by a group identi er of 1.

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