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Java client application; if the appropriate properties are set prior to a JNDI InitialContext() call, they are checked when the next lookup request is made (There are small differences here among EJB implementations; for example, Sun s j2ee system uses the properties j2eeloginname and j2eeloginpassword; other implementations have their own variants) The actual name and password data can be provided as environment variables specified on the command line when a Java client is started; otherwise, the client runtime may prompt the user for these data The architecture for the web components is complex Sun has chosen to illustrate numerous other potentially interesting features of JSPs and servlets along with the essential web-EJB features Thus the web clients (and the Java application as well) support internationalization with multilingual versions The JSPs exploit their own unique tag library, as well as using some tags from the struts library.

In addition to predicates, predicate logic also has quantifiers Quantifiers come in many flavors, but we are only interested in two simple kinds: the universal quantifier and the existential quantifier A quantifier is a logical symbol that enables you to quantify over instances or individuals (most modeling languages use the term instance; usually logic uses the term individual) The universal quantifer means All; the existential quantifier means Some In fact, this is why ordinary predicate logic is called first-order: It only quantifies over instances If you use a logic to quantify over both instances and predicates, then that logic is called second-order logic The universal quantifier binds a designated instance variable in the expression so that wherever that variable occurs (in whatever predicate), every possible substitution of that variable by an instance must make the complex expression true In Table 8.

The response pages are formed in accord with templates that create a response combining the outputs of multiple JSPs; this template-based scheme illustrates a rather elaborate mechanism for achieving a standardized look and feel for a set of pages All web-requested actions are routed via a single dispatcher servlet that uses parameter data to distinguish the various requests The proxies for the home factory objects for the three session beans are maintained in an application scope variable that is an instance of a bean manager class The client application is a relatively simple GUI-based program, using the swing components to construct an interface that allows bank administrators to create customers and accounts and so forth Like the web components, the client application is somewhat over engineered The entity beans AccountBean, CustomerBean and TxBean are for the most part straightforward, being slightly more sophisticated versions of the SavingsAccountBean.

throughout the SDLC process and indeed any quality management process. Requirements for safety, security, regulatory compliance, compatibility adherence to the overall vision and configuration, and the satisfaction of business requirements should be required in the documentation of the adopted SDLC methodology.

9, everyone and anyone who is a management employee also manages an organization (we don t know yet if the person is a manager or a director or a vice president or president, but in any case, we know that person manages some organization) This final example may seem a bit complicated, but it demonstrates that fine logical (and semantic) distinctions can be made and formalized in predicate logic High-end ontologies (ontologies that are logical theories in our Ontology Spectrum) are modeled in semantic languages such as DAML+OIL and OWL that have a logic behind them, a logic that is almost but not quite as complicated as first-order predicate logic (description logics explicitly try to achieve a good trade-off between semantic richness and machine tractability).

They use a different approach to managing their database connection; instead of maintaining a connection for their entire lifetime, these beans open and close a new connection for each operation performed on their data tables The other major difference from the SavingsAccountBean is their support for coarse-grained access functions using getDetails methods that return little structs rather than have accessors for all the individual data members (Some data members do have separate accessors, eg an account s balance member has an accessor because this value needs to be checked in banking operations such as the withdraw operation in the banking-transaction controller) The AccountDetails and AccountBean classes are representative The AccountDetails class is a Serializable class, with data members for the banking information and get/set methods (it has to be a Serializable, as it is used as a result of remote calls):.

This is the reason that ontologies modeled in those languages can be machine-interpretable: The machine knows exactly what the model means and how the model works logically, and can infer in a step-by-step fashion those inferences a human would make But you need not worry about the formal logic behind those languages You just use the languages like OWL to create your ontologies, and then the OWL interpreter will do the right thing That is the power of using ontologies, especially those developed in a semantically rich language that expresses what you want to express..