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The Find an answer section displays six different icons that are designed to answer the most frequently asked topics or concerns (see Figure 16.3). We really like this approach because the six sections aren t necessarily links within the traditional online help structure. We detail these icons in the following paragraphs:
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ARG1 | ARG2 ARG1 & ARG2 ARG1 < ARG2 ARG1 <= ARG2 ARG1 = ARG2 ARG1 != ARG2 ARG1 >= ARG2 ARG1 > ARG2 ARG1 + ARG2 ARG1 - ARG2 ARG1 * ARG2 ARG1 / ARG2 ARG1 % ARG2 STRING : REGEXP match STRING REGEXP substr STRING POS LENGTH index STRING CHARS length STRING + TOKEN
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Insert a link Apply a blockquote Unordered list item Ordered list item Left align Center align Right align Switch to HTML mode Insert <!--more--> Show full toolbar Full Screen mode New paragraph Copy Paste Bold Italic Underline New heading (h1 h6)
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Error probability when tail bits are used.
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<form runat="server"> Here is an example of the HTMLGeneric Control.<p>
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the format of the dig output. These options mirror the options available in the nslookup program.
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By default, a Windows Server 2008 RRAS server uses Windows Server 2008 accounting, which means that certain aspects of remote sessions are logged to the log le designated by the entry in the Remote Access Logging branch of the RRAS console. Windows accounting is applicable when you are using IAS to provide authentication. If you re using a RADIUS server, however, you ll probably want to con gure RADIUS to perform the accounting for you. The following sections explain both options.
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Unless you like Red Words, I suggest that you jump to the next chapter, which describes how to actually apply this stuff. In deference to those who remain, I will forgo the aggravating Dracula font for the rest of this chapter.
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4.4.4.2 Adaptation Searching and editing. An ontology library system should feature a visualized browsing environment, using hyperlinks or cross-references to closely related information. It should support collaborative editing and offer advanced searching features by adopting various existing information retrieval techniques, database searching features, or AI heuristic techniques. Ontology library systems could also monitor user pro les based on access patterns in order to personalize the view of ontologies (Domingue and Motta, 1999). Reasoning. A simple reasoning function should be included in order to facilitate ontology creation, ontology mapping and integration. 4.4.4.3 Standardization Language. Syntactically, an ontology representation language should be standardized or inter- or intra-ontology language translation should be supported. Semantically, an ontology library system should feature the common vocabulary (or faceted taxonomy). At any rate, it should eliminate the implicitness and misunderstanding of terms in different ontologies (due to synonyms, homonyms, etc.) for most generic classes. Preferably, an ontology library system should also support compatibility with or mapping between multiple controlled vocabularies from different domains. This would not only serve to guarantee exibility in expressing an ontology semantically, but also to liquidate implicitness. The structures of these common vocabularies or multiple controlled vocabularies must be faceted, or modulated so as to facilitate the reuse, mapping and integration of ontologies (McGuinness, 2000). These vocabularies can help in simple synonym matching, sibling analysis, and disjoint partition checking. Upper-level ontology. A standard upper-level ontology is important for better organization of ontology library systems (Ontolingua, IEEE SUO). 4.4.4.4 Other requirements Ontology scalability. Ontology library systems should also consider increasing the scale of ontologies. Maintenance facility. Ontology library systems should also provide some maintenance features, such as consistency checking, diagnostic testing, support for changes, and adaptation of ontologies for different applications. Explicit documentation. Each ontology in an ontology library system should be extensively documented. The documentation should include such information as how the ontology was constructed, how to make extensions and what
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