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In this chapter, we learned about the foundation layer of the Semantic Web called the Resource Description Framework (RDF). The sections built upon each other, demonstrating numerous applications of RDF, highlighting the strengths and weaknesses of the language, and offering ideas and concepts for leveraging it in your organization. The first section answered the question What is RDF It began by highlighting its most obvious use in describing opaque resources like images, audio, and video. We then began dissecting the technology into its core model, syntax, and additional features. The core model revolves around denoting concepts with Universal Resource Identifiers (URIs) and structured knowledge as a collection of statements. An RDF statement has three parts: a subject, a predicate, and an object. The RDF/XML syntax uses a striped syntax and a set of elements like rdf:Description and attributes like rdf:about, and rdf:resource. The other features discussed in the section were RDF containers and reification. RDF containers allow an object to contain multiple values or resources. RDF reification allows you to make statements about statements. The second section cast a skeptic s eye on the slow adoption of RDF. We first noted this phenomenon by comparing RDF s adoption to XML s adoption via simple Web queries. We then listed several possible reasons for the slow adoption: the difficulties in combining RDF and XML documents, the complexity of RDF concepts and syntax, and the weakness of current examples like RSS and Dublin core that do not highlight the unique characteristics of RDF. However, we are confident that RDF s strengths outweigh its weaknesses and forecast



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The distribution spans about ve orders of magnitude, denoting a large disparity in the user behaviour This can be better seen from Figure 123(b) There we plot the fraction y of total volume generated by the fraction x of top users in a double log scale (loglog) We conclude that the top 1% of UMTS users generated around 16% of total traf c, while the top 1% of GPRS users generated 47% of total traf c For the 10% of top users, the cumulated fraction of volume jumps to 59% for UMTS and 92% for GPRS The GPRS gures reveal that the vast majority of users seen on GPRS are spurious users, generating sporadic or very low traf c volumes At the other extreme of the range are a small population of heavy users, who transfer massive volumes of traf c.





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The trade-off between customized software and packaged software is to have software that provides a general structure. Customers can modify this software by customizing the functions. For example, lots of database software provides a general database structure. Based on different individual needs, users can develop different applications for different environments.

This suggests the possibility of classifying the users into three basic groups: sporadic, heavy and intermediate users In general, such classi cation would be service-dependent However, as far as the total network load is concerned we can ignore service-speci c metrics and consider just the total transferred volume in the measurement period Hence, we classi ed the users into three groups based upon arbitrarily chosen threshold values on the weekly volume v: low (v 1 Mbyte), medium (1 Mbyte < v < 100 Mbyte) and high (v 100 Mbyte) We used the same boundary values for UMTS and GPRS Table 122 shows the results for both datasets From Table 122 we observe that the vast majority of users (70 85%) are in the low group, but they generate only a small fraction of the total traf c (1 4%).

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In this code, which deals with MIME headers sent as part of a request to the Web server, if the first two if statements are true, the buffer allocated will be 1 byte too small. The final memcpy call will write a null byte out of bounds. Exploitability of this bug proved to be very difficult due to the custom heap implementation; however, it is a blatant case of an off-by-one dealing with null-termination. Any loop that null-terminates a string at the end of it should be doublechecked for an off-by-one-condition. The following code, found within the OpenBSD ftp daemon, illustrates the problem:

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