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Attach code 128 barcode in .NET 3GPP Long-Term Evolution

FIGURE 6-1 The text within the title tag appears in the reverse title bar or the tab title of your web browser. Reverse title bar Tab title

Power Management ................................................................................................................................711 Battery Meter ..................................................................................................................................... 711 Power Plans ........................................................................................................................................ 713 Power Options Control Panel ........................................................................................................... 716 Windows Mobility Center ..................................................................................................................... 725 Presentations A-Go-Go ..........................................................................................................................727 Presentation Settings ......................................................................................................................... 727 Using a Network Projector ................................................................................................................ 728 Other Mobile Features .......................................................................................................................... 729 Offline Files and Folders ................................................................................................................... 729 Windows SideShow ........................................................................................................................... 731 Improved Support for Tablet PC Hardware .................................................................................... 731 Using Windows 7 with a Netbook .........................................................................................................732 Summary ................................................................................................................................................. 734

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emergent semantics (e.g. same le categorized to different concepts indicates alignment). Lack of ontological precision. Ontologies will be produced from various user interactions, like classi cations into folders or usage of meta-data. Ontology de nitions will be imprecise and sloppy ontologies will be the norm rather than the exception. An inference engine for these ontologies must be able to ask and answer queries to peers in a robust, scalable, often locally contained, manner. Ontological drift. In a P2P environment, one cannot expect any maintenance of the ontologies to happen (in fact, users will often not know what is in the ontologies on their machine). As a result, we must design mechanisms that allow the ontologies to update themselves, in order to cope with ontological drift. Based on the queries and answers elsewhere in the P2P network, ontologies will have to adjust their own de nitions accordingly. Each of these challenges will require signi cant research in ontology engineering technology. 14.4.2.1 Peer Selection Service Clearly, the success of a P2P network relies on the quality of peers that each member of the network selects. Example: Investment Analysis. If an investment analyst in the TIME 7 market performs a domain-speci c query, it is highly improbable that a colleague of his/hers who specializes in the Life Science Domain will know the answer. Correspondingly, the query should rather be routed to colleagues who work in similar domains in order to receive many useful answers. Selection of peers in existing P2P networks is typically based on network related parameters, such as ping-time, number of network-hops, etc. Clearly, in an ontology based P2P service, one would rather want to select peers on the basis of their conceptual proximity to one s own ontology possibly including contextual information (e.g. what activity the user is currently engaged in). Continuing the example from above, we would expect that colleagues with overlapping tasks would also have overlapping ontologies that describe their view of the domain. Therefore, routing of queries should depend on some kind of similarity measures between ontologies, which can be used to select peers with similar ontologies, that is, peers that are likely to have answers to my queries or peers

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