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that are part of the WSMO approach to SWS (see Figure 10.1): the Web service Modeling Ontology (WSMO) a conceptual model for Semantic Web Services (Section 10.2.1), the Web Service Modeling Language (WSML) a language which provides a formal syntax and semantics for WSMO (Section 10.2.2), and the Web Service Modeling Execution Environment (WSMX) an execution environment, which is a reference implementation for WSMO, offering support for interacting with Semantic Web Services (Section 10.2.3).

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void CRSmsCSSession::ReadCompleteL(TDes8* /*aPdu*/) { TRSmsCmdCode aCmd = (TRSmsCmdCode)CConnPack::ReadInt32L(iReadPtr); TInt msgId = CConnPack::ReadInt32L(iReadPtr); TRAPD(retVal, DoServiceL(aCmd, msgId)); if(retVal != KErrNone) { WriteErrorL(retVal, msgId); } } void CRSmsCSSession::DoServiceL(TRSmsCmdCode aCmd, TInt aMsgId) { switch(aCmd) { case ERSmsCmdQueryVersion: QueryVersionL(aMsgId); break; case ERSmsCmdGetAllSms: GetAllSmsL(aMsgId); break; case ERSmsCmdGetMoreSms : GetMoreSmsL(aMsgId); break; case ERSmsCmdGetSmsById: GetSmsByIdL(aMsgId); break; case ERSmsCmdDeleteSms: DeleteSmsL(aMsgId); break; case ERSmsCmdSendSms: SendSmsL(aMsgId); break; default: break; //Do Nothing } return; }

10.2.1. The Conceptual Model The Web Services Modeling Ontology (WSMO)

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We call the service routine via a TRAP so we can catch errors and return an error PDU to the PC client.

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We could not prove this in 1 since our proof involves combinations To prove the general addition theorem, we use a different technique from the one we used to prove the theorem for two events Suppose a sample point is contained in exactly k of the events Ai For convenience, number the events so that the sample point is in the rst k events Now we show that the probability of the sample point is contained exactly once in the right-hand side of the theorem The point is contained on the right-hand side k k k k + 1 2 3 k times But consider the binomial expansion of 0 = [1 + ( 1)]k = 1k which shows that k k k k + 1 2 3 k =1 k k k k + + 1 2 3 k

WSMO (Roman et al., 2005) provides ontological speci cations for the core elements of Semantic Web services. In fact, Semantic Web services aim at an integrated technology for the next generation of the Web by combining Semantic Web technologies and Web services, thereby turning the Internet from a information repository for human consumption into a world-wide system for distributed Web computing. Therefore, appropriate frameworks for Semantic Web services need to integrate the basic Web design principles, those de ned for the Semantic Web, as well as design principles for distributed, service-orientated computing of the Web. WSMO is, therefore, based on the following design principles: Web Compliance: WSMO inherits the concept of Universal Resource Identi er (URI) for unique identi cation of resources as the essential design principle of the Word-Wide Web. Moreover, WSMO adopts the concept of Namespaces for denoting consistent information spaces, supports XML and other W3C Web technology recommendations, as well as the decentralization of resources.

Then the individual service routines here call one of the messaging routines and return the response. They are all quite similar, so I will just show one here.

Here is an example of our waiting time problem On a mythical island, couples are allowed to have children until a male child is born What effect, if any, does this have on the male:female ratio on the island The answer may be surprising Suppose that the probabilities of a male birth or a female birth are each 1/2 (which is not the case in actuality) and that the births are independent of each other The sample space now is shown in Table 72 We know that S = p + qp + q2 p + q3 p + = 1 and here p = q = 1/2 so we have a probability distribution We now want to know the expected number of males

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