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void SetGroupByPriority(TBool aFlag) This method sets group-by-priority. aFlag ETrue if group-by-priority is to be set. TBool GroupByMtm(TBool aFlag) This method returns ETrue if group-by-MTM is set. void SetGroupByMtm(TBool aFlag) This method sets group-by-MTM. aFlag ETrue if group-by-MTM is to be set. inline TBool ShowInvisibleEntries() const This method returns ETrue if invisible entries are to be included in a selection. void SetShowInvisibleEntries(TBool aFlag) This method sets whether invisible entries are to be included in a selection. aFlag ETrue if invisible entries are to be included in a selection.

CHAPTER OBJECTIVES:

The extensive deployment of digital libraries over the last two decades is hardly surprising. They offer remote access to articles, journals and books with many users able to access the same document at the same time. Through the use of search engines, they make it possible to locate speci c information more rapidly than ever is possible in physical libraries. Scholars, and others, are able to access rare and precious documents with no danger of damage. However, challenges remain if the full bene ts are to be realised. Interoperability between different libraries, or even between different collections in the same library, is a problem. At the semantic level, different schemas are used by different library databases. Search and retrieval needs to be made easier, in part by offering each user a uni ed view of the naming of digital objects across libraries. User interfaces need to be improved, in particular to face the challenge of large information collections. This chapter describes the state-of-the art in digital library research, and in particular the application of semantic technology to confront the challenges posed. Subsequent sections go into more detail, but it is clear that the challenges described above align closely with the goals of semantic knowledge technology. The ontology mediation techniques described in 6 are speci cally motivated by the challenge of interoperability between heterogeneous data sets, and of providing a common

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r to introduce random variables and probability distribution functions r to discuss uniform, binomial, hypergeometric, and geometric probability r to discover some surprising results when random variables are added r to encounter the bell-shaped curve for the rst (but not the last!) time r to use the binomial theorem with both positive and negative exponents

Class CMsvEntrySelection De ned in msvstd.h This class is an array of TMsvId which is used to pass a selection of entries. An object of this type can be generated or returned with an event. The array base class CArrayFixFlat<TMsvId> provides methods to access the members of the array. Member Methods TInt Find(TMsvId aId) const This method nds an entry by entry ID. If the entry is present in the array then the index of the entry is returned. If the entry is not present then the method returns KErrNotFound. aId the index identi er of the desired entry.

Suppose a hat contains slips of paper with the numbers 1 through 5 on them A slip is drawn at random and the number on the slip observed Since the result cannot be known in advance, the number is called a random variable In general, a random variable is a variable that takes on values on the points of a sample space Random variables are generally denoted by capital letters, such as X, Y, Z, and so on If we see the number 3 in the slip of paper experiment, we say that X = 3 It is important to distinguish between the variable itself, say X, and one of its values, usually denoted by small letters, say x

Semantic Web Technologies: Trends and Research in Ontology-based Systems John Davies, Rudi Studer, Paul Warren # 2006 John Wiley & Sons, Ltd

Class CClientMtmRegistry De ned in mtclreg.h This class provides access to the registry that holds details of all client-side MTMs currently available on the phone. This class is used to obtain access to a speci c client-side MTM.

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