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OVERVIEW The architecture of the Semantic Web is comprised of a series of layers that form a hierarchy of content and logic. The ontology layer de nes knowledge about content, concepts, and relationships. Currently, the RDF Schema (RDFS) is recognized as an ontology language that provides classes, properties, subsuperclasses, range, and domain. However, RDFS has no localized range and domain constraints, no cardinality constraints, no provision for negation, and no transitive, inverse, or symmetrical properties. As a result, RDFS is unable to provide suf cient expressive power for machine processing on the Semantic Web. To expand the expressive capabilities of RDFS, three versions of the Web Ontology Language (OWL) have been developed: OWL Full is the union of OWL syntax and RDF, but it is undecidable, and therefore cannot provide complete reasoning support. The OWL Descriptive Logic (DL) is a sublanguage of OWL Full that has ef cient reasoning support, but is not fully compatible with RDF. Web Ontology Language Lite is an easier-to-implement subset of OWL DL. Both RDF and OWL DL are specializations of predicate logic (also known as rst-order logic (FOL)) that are used for Web knowledge representation. They provide a syntax that promotes their use on the Web in the form of tags, where OWL DL and OWL Lite correspond roughly to a descriptive logic that is a subset of predicate logic for which there exists adequate proof systems. Another subset of predicate logic with ef cient proof systems is the rule system Horn Logic.

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What if interest rates remain low Won t that draw renters out of apartments Our research mirrors the findings of a study by two professors at the University of California: interest rates play no discernible role in increasing home ownership rates in the short- or long-run. Housing affordability can worsen even with low interest rates if house prices are appreciating faster than household income, a situation that describes many current markets. Many analysts believe the pressure on apartments from home ownership is moderating. As rising house prices make them less affordable, renting becomes a more competitive option. According to the Harvard University s 2003 State of the Nation s Housing report, if the recent run up in housing prices makes home ownership too expensive, the number of new renters expected in the next decade could easily grow from one million to five or six million. Interest rate changes and home ownership incentives aside, housing is not the win-lose game many analysts would have you believe it is. The rising tide

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14. shared sparse_mat_t sparse_data_A [ THREADS] ; 15. void initialize_A(void) 16. { 17. int i, j; 18. upc_forall(i=0; i<N; i++; i*THREADS/N) 19. for(j=0; j<i/2; j++) 20. data_A [ j] = (i j)/(N*1.0); i][ 21. } 22. void compress_A(void) 23. { 24. int ind, i, j; 25. shared [] int *rowptr_ptr; /* step 1: count the number of NZ * / upc_forall( i=0, sparse_data_A[ MYTHREAD].no_nz=0; i<N; i++; i*THREADS/N) 28. for(j=0; j<N; j++) 29. if(data_A[ j] > 1E 6) i][ 30. sparse_data_A[ MYTHREAD].no_nz ++; 31. 32. 33. /* step 2: allocate colind, rowind and values arrays * / sparse_data_A [ MYTHREAD].colind = (shared [] int *) upc_alloc(sparse_data_A[ MYTHREAD].no_nz * sizeof(int); ) CHECK_MEM(sparse_data_A[ MYTHREAD].colind) ; 26. 27.

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The following table provides a summary of the quality checks for the UML diagrams used to express MOPS. This table can be used as a reminder of what needs to be checked. Readers are encouraged to add to this list their own speci c checks, which may arise out of internal project standards, preproject discussions, or their speci c need to use UML. For example, a data warehousing project will need additional checks for the class diagrams that speci cally deal with data tables, primary and foreign keys, and so on, but that project may not need the extensive checks needed for, say, the use case diagrams. Checks for V&V of the Diagrams in MOPS

Exhibit 10.2 (Continued)

85. 86. 87. 88.

Finally, one of the most compelling reasons for sellers to divest themselves of property is for investor gains Value players like yourself are ready to take their gains on the sale and move on to the next value play opportunity The degree of motivation will vary depending on factors such as how much value was created in the deal and timing for entry into the next investment If, for example, sellers have identified another retail opportunity but need the cash out of their current house, then they may be willing to strike a bargain, knowing that they will make up for it, and then some, on the next transaction Investors buying and selling in volume are not interested in holding out for top dollar.

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