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The key ingredients in the new Internet-related ontology are: a vocabulary of basic terms; a precise speci cation of what those terms mean Domain-speci c terms are thus combined with domain-independent representations of relationship Ideally, consensus-standard vocabularies can be handled by de ning reusable vocabularies, and assembling, customizing, and extending them The idea is that by sharing a common ontology expressed in this way, unambiguous and meaningful conversation can occur between autonomous agents or remote applications to achieve a speci ed purpose, even in the absence of detailed step-by-step instructions and interpretations at the endpoints Application logic and rules of inference should then be able to ll in the blanks.

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A practical ontology actually goes further, in that it requires more than just an agreed vocabulary, and more than just a taxonomy or classi cation of terms: On the one hand, it provides a set of well-founded constructs that can be leveraged to build meaningful, higher-level knowledge from basic de nitions The most basic (or abstract) concepts and distinctions are identi ed, de ned, and speci ed The resulting structure forms a complete set with formally de ned relationships, one element to another, which provides the semantic basis for the terminology On the other hand, ontologies include richer relationships between terms than the simply taxonomic contribution to the semantics These relationships enable the expression of domain-speci c knowledge without requiring domain-speci c terms, and hence also support easier translation between domains.

taken into account people and equipment limitations The next planning step uses the initial schedule as a starting point and balances it against the resources available to the project PLANNING STEP FIVE: ASSIGN AND LEVEL RESOURCES The goal of resource leveling is to optimize the use of people and equipment assigned to the project It begins with the assumption that, whenever possible, it is most productive to have consistent, continuous use of the fewest resources possible In other words, it seeks to avoid repeatedly adding and removing resources time and again throughout the project Resource leveling is the last step in creating a realistic schedule It confronts the reality of limited people and equipment and adjusts the schedule to compensate Using the home landscape project as an example, we can see how resource leveling makes a project schedule more realistic The network (Figure 7.

The brick-and-mortar world doesn t afford you this luxury. As soon as you muck your hand, consider it dead and gone. Never take the word of other players as to the value of their hands unless you see their cards yourself or hear the dealer call the hand out. Always rely on the dealer to call out the winning hand.

Ontological knowledge is characterized by true assertions about groups, sets, and classes of things that exist, irrespective of the current state of affairs in the speci c occurrences of these things In a Semantic Web environment, a major goal is to enable agent-based systems to interoperate with a high degree of autonomy, exibility, and agility without misunderstanding Ontologies in the current sense seek to achieve this goal Relying on, for example, XML language frameworks alone provides only syntactic representations of knowledge Such frameworks do not address ontology and therefore cannot convey any semantic meaning Interoperation is in such cases dependent on each implemented agent complying to a standardized usage of particular tag sets, externally de ned, and using these consistently While it is true that one can get quite far in this way, results are fragile with external dependencies.

Many different communities have an interest in ontologies, although they differ with respect to the nature of the knowledge dealt with and the purpose to which it will be put The.

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