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Based on the arguments, provided in the section on Topic-ontologies above, the following principles were adopted in the PROTON implementation: The class hierarchy of the schema ontology should not be mixed with topic hierarchies. One additional argument for this is that the latter can be expected to be speci c for the different domains and applications. A further technical argument is that representing topics as instances of the Topic class avoids the computational intractability inherent in allowing classes as property values. We should avoid extensive modeling of semantics of topics using extensional semantics, as discussed earlier.



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where the rst term is the time it takes to read the media block of Q bytes from the disk surface; the second term is the total head-switching time incurred if the media block spans more than one track in the cylinder; the last term is the total track-to-track seek time incurred if the media block spans more than one consecutive cylinder. Take the Quantum Atlas-10K disk model as an example, transfer time for retrieving a 64KB media block ranges from 4.59ms to 6.69ms depending on the zone, head-switching time is 0.176ms, and track-to-track seek time is 1.25ms. Therefore, unless one sacri ces some storage (7 10% depending on zone) to prevent a media block spanning two tracks, the effect of trackcrossing should not be ignored.





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We note that the previous disk model is only an approximation and is chosen for the sake of simplicity. The results can be extended to more detailed and complex models for more accurate performance predictions.

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The Topic class (within the PROTON Top module) is meant to serve as a bridge between topic- and schema-ontologies. The speci c topics should be de ned as instances of the Topic class (or of a sub-class of it). The topic hierarchy is built using the subTopic property as a specialized subsumption relation between the topics. The latter is de ned to be transitive but, importantly, it is not related to the rdfs:subClassOf meta-property. Typically, the instances of Topic are used as values of the hasSubject property (equivalent to dc:subject) of the InformationResource class. Topic is any sort of a topic or a theme, explicitly de ned for classi cation purposes. While any other class or entity could play the role of a topic in principle, the instances of class Topic are the only concepts in PROTON which are de ned to serve as topics.21 The Topic class is the natural top-class for linkage of logically informal taxonomies. PROTON does not provide any Topic sub-classes as part of its Upper module layer. However, Topic is in certain relations with some of the classes in the KM module: Pro le is related to Topic through property isInterestedIn; Topic is relater to WeightedTerm through property hasWeightedTerm. An example for modeling of topics is given in Figure 7.5. Suppose one needs to encode that a particular document is about Jazz, using the

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The goal of capacity dimensioning is to determine the maximum number of concurrent media streams that can be sustained with deterministic performance guarantee. Based on the previous disk model, we rst obtain an upper bound for the length of a service round. Rewriting equation (5.7) by replacing txfr with the transfer time formula in equation (5.8), we have treq = + tseek + thsw + ttrack + trot + Q X (5.9)

Assuming the use of CSCAN serving k requests per round and the seek time function is concave, then the seek time overhead is maximized when the requests are evenly spaced along the disk surface, i.e.,

For instance, the PROTON class PublicCompany can be intuitively used as a topic (e.g., documents about public companies ). PROTON suggests that this class should not be used as topic; instead, PublicComapaniesTopic should be de ned as an instance of the Topic Class. It is often useful to link intuitively related concepts (as the two ones about public companies in the preceding example) there is currently no support for such linking in PROTON. Such can however be added through an OWL annotation property named, for instance, hasRelatedTopic. Annotation properties are the only safe way of introducing properties relating classes and instances without escalating the complexity of the ontology to OWL Full.

max tseek = max {tseek } = f seek (Ntrk /(k + 1))

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