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Figure 6.4 Screenshot of OntoStudio1 with the OntoMap1 plugin. . alignment algorithm, and a graphical tool to edit such ntology mappings. These ontology mappings can be used, for example, for transforming data between different representation, as well as querying different heterogeneous knowledge bases. Although there is some experience with ontology mediation and most approaches to ontology mediation, especially in the eld of ontology alignment, have been validated using some small test set of ontologies, the overall problem which the area of ontology mediation faces is that the number of ontologies which is available on the Semantic Web is currently very limited, and it is hard to validate the approaches using real ontologies. NET Control to generate, create barcode image in NET framework applications.Related: 

5. A QR Code barcode with numeric data will be displayed. Note: In IIS, Symbology.QRCode is 103. For different data mode, QRCodeDataMode.Auto is 0 .Related: QR Code Generator .NET , QR Code Generation .NET Image, .NET QR Code Generation Size

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NET Suite is a professional QR Code encoder component SDK library, which allows developers to add bidimensional QR Code arcoding feature into .NET projects using Visual Basic . qrcode.QRCodeECL = KeepAutomation. Barcode.QRCodeECL.H ' QR .' QR Code data mode, supporting AlphaNumeric, Auto, Byte, Customer Kanji, Numeric.Related: Generate Barcode ASP.NET C# , Printing Barcode Word SDK, Barcode Printing VB.NET Winforms

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FIGURE 12-4 Tree printout from ManagementParser. Quick .tree of nodes by starting at the top and doing a search at each node for entries that have the node as a manager, rather than doing a single search and then parsing the relationships in memory, as is done in ManagementParser The intention is to demonstrate a top-down, search-as-you-go algorithm ManagementParser2parseTree starts ff just as ManagementParser: by creating a table of all top-level nodes Then it searches for all person entries that have a manager attribute, as in ManagementParser, but it keeps only the table of managers and not the table of all employees:.Using Barcode printer for Java Control to generate, create barcode image in ava applications.Related: Print Barcode Excel , Generate Barcode ASP.NET Library, Barcode Generating SSRS VB.NET

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the application Next, the test subjects went through the application again while being videotaped No corrections were made to dictated text during the videotaping This allowed the tracking of voice dictation accuracy for each user with a new speech pro le Test subjects completed the entire process in an average of 2 hours Afterward, each test subject completed a questionnaire to determine user demographics, utility and quality performance, system interface, hardware, information management, and overall system satisfaction and importance This survey instrument also allowed the test subjects to record any problems and suggest improvements to the system Data with built-in intelligence techniques recorded any problems that the test subjects encountered in the survey instrument Autonomics were employed by the VAMTA development team, to document bugs in the tracking system, and targeted by the test architect for the appropriate problem solving action The performance of VAMTA during testing was measured in terms of voice accuracy, voice accuracy total errors, duration with data entry by voice, and duration with data entry by keyboard and mouse Viewed together, these statistics provide a snapshot of the accuracy, speed, and overall effectiveness of the VAMTA system Each test subject s printout was compared with a test script printout for accuracy When discrepancies occurred between the subject s printout and the est script, the printouts were compared with the automated video recordings to determine whether the test subjects said the words properly, stuttered or mumbled words, and/or followed the test script properly Misrecognitions occurred when the test subject said a word properly and the speech program recorded the wrong word This automated regulatory environment provided a solid baseline for the lab experiments and led to the following results The accuracy of voice recognition, con rmed by videotaped records of test sessions, averaged 976%, with 6 misrecognitions (Table 41) The minimum average voice recognition was 85%, with 37 misrecognitions The maximum average voice recognition was 996% with 1 misrecognition Median voice recognition was 984%, with 4 misrecognitions.

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