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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.

<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform" xmlns:exsl="http://exslt.org/common" xmlns:bank="http://www.example.com/bank/statement" xmlns:per="http://www.example.com/person/details" xmlns="http://www.w3.org/1999/xhtml" xmlns:math="http://www.w3.org/1998/Math/MathML" extension element prefixes="exsl" exclude result prefixes="bank per math"> ... </xsl:stylesheet>

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came in contact with, including all the people on the other side the lawyers and other professionals and the real estate moguls themselves. I concentrated on what they did, how they did it, how they acted and reacted in certain situations, and anything else that would fill the void of my ineptitude. I was like a sponge absorbing every bit of information I could. Before long my crash course in real estate paid off and I began to give my clients well-reasoned opinions as to which deals were good and which were not and what price to pay. This gave me a unique combination of talents. Most lawyers don t know the business of real estate, and therefore, they are not equipped to make business decisions. They are ready to render advice on any legal issue, but leave the business decisions to their client.

RAID 1 is the first RAID level with fault tolerance, and is referred to as disk mirroring. Disk Mirroring consists of a primary and secondary disk, or groups of identical primary and secondary disks. As data is written to the primary disk, it is duplicated on the secondary disk, as shown in Figure 4-2. If the primary disk fails, the server can be configured to use the mirrored copy on the secondary disk until the primary disk is replaced. The data can then be rebuilt from the surviving drive.

Aesthetic Checks for Classes 1. 2. 3. Check the size of the class. A class should be comprehensible as a single entity (well balanced). Check to see if the class has the right number of attributes. Ensure that the class is not overloaded or underloaded in terms of the number of operations or methods it contains.

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

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