Class implementation file

Abstract: A computer-implemented method and system for of retrieving information. A first file of information is received which includes a first markup language to identify contents of the information. Responsive to the receiving the first file of information, the first file of information is parsed to generate a list of profiles, and at least one corresponding topic for each of the list of profiles. A second file in a second markup language is created containing the list of the profiles and at least one corresponding third file is created in a third markup language for the at least one corresponding topic for each of the list of profiles. The second file contains anchors referencing each at least one corresponding third file, and first markup instances in the first file of information are converted to second markup instances in either the second file or the third file. The first file of information is parsed to determine the at least one article, if any, for the each at least one corresponding topic for the each of the list of profiles, and a corresponding brief for the at least one article. A fourth file and a fifth file are generated for the at least one article, if any, for the each at least one corresponding topic for the each of the list of profiles. The fourth file includes a brief of each the at least one article in the first file of information and an anchor to the fifth file, the fifth file including text for the at least one article, if any, for the each at least one corresponding topic for the each of the list of profiles.

Abstract: A checkpoint which describes a base file is produced by dividing the base file into a series of segments; generating for each segment a segment description; and creating from the generated segment descriptions a segment description structure as the checkpoint. The segment descriptions represent segments of the base file at a minimum level of resolution sufficient to represent distinctly the segment. A difference file which defines differences between an updated file and the base file is produced by generating at different levels of resolution segment descriptions for segments in the updated file and comparing the generated segment descriptions with segment descriptions in the checkpoint to identify matching and non-matching segments. Data identifying segments in the updated file that match segments in the base file and data representing portions of the updated file at a minimum level of resolution sufficient to represent distinctly the portion are stored as the difference file.

Abstract: We propose a method to analyze files to categorize their type using efficient 1-gram analysis of their binary contents. Our aim is to be able to accurately identify the true type of an arbitrary file using statistical analysis of their binary contents without parsing. Consequently, we may determine the type of a file if its name does not announce its true type. The method represents each file type by a compact representation we call a fileprint, effectively a simple means of representing all members of the same file type by a set of statistical 1-gram models. The method is designed to be highly efficient so that files can be inspected with little or no buffering, and on a network appliance operating in high bandwidth environment or when streaming the file from or to disk.

Abstract: A method and apparatus for providing plug-in media decoders. Embodiments provide a “plug-in” decoder architecture that allows software decoders to be transparently downloaded, along with media data. User applications are able to support new media types as long as the corresponding plug-in decoder is available with the media data. Persistent storage requirements are decreased because the downloaded decoder is transient, existing in application memory for the duration of execution of the user application. The architecture also supports use of plug-in decoders already installed in the user computer. One embodiment is implemented with object-based class files executed in a virtual machine to form a media application. A media data type is determined from incoming media data, and used to generate a class name for a corresponding codec (coder-decoder) object. A class path vector is searched, including the source location of the incoming media data, to determine the location of the codec class file for the given class name. When the desired codec class file is located, the virtual machine's class loader loads the class file for integration into the media application. If the codec class file is located across the network at the source location of the media data; the class loader downloads the codec class file from the network. Once the class file is loaded into the virtual machine, an instance of the codec class is created within the media application to decode/decompress the media data as appropriate for the media data type.