Universal File Descriptor Model for Heterogeneous Content Files
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Solution Overview
Problem
Conventional file representation techniques have not kept pace with increased levels of file storage, making it difficult for users to locate specific files due to the need for numerous file descriptor models for different content file types, leading to geometric growth in the number of models required and management complexity.
Innovation Solution
The implementation of universal file descriptor models that allow a single model to be used across multiple heterogeneous content file types, reducing the number of models needed and enabling more refined and meaningful file descriptors, which can be generated and managed efficiently, including by network devices or cloud-based services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional file representation techniques are used with distinct icons for different file types, then file representation makes it easier for users to locate files, but the number of file descriptor models grows geometrically with increased file storage capacity
Solution Approach 1:
The patent applies universality by creating a single universal file descriptor model that can represent multiple heterogeneous content file types. Instead of maintaining separate file descriptor models for each file type (which causes geometric growth), the universal model uses content-based representation that adapts to different file types through a common interface and standardized tile types, thereby reducing model complexity while maintaining ease of file location.
Solution Approach 2:
The patent changes the parameters of file representation from fixed type-specific icons to dynamic content-based descriptors. By extracting content parts from files and representing them through standardized tile types with configurable parameters (such as tile size, content extraction rules, and layout configurations), the system maintains ease of file location without requiring geometric growth in the number of descriptor models.
2Loss of information
If content-based file representations are generated using actual content within files, then finer distinctions between files are provided, but management complexity increases due to the need for numerous file descriptor models
Solution Approach 1:
The universal file descriptor model provides content-based file representations for multiple heterogeneous file types through a single unified model. The model extracts content parts using standardized procedures and represents them through common tile types, maintaining fine distinction capability between files while eliminating the need for separate content-based descriptor models for each file type, thereby reducing management complexity.
Solution Approach 2:
The patent segments file content into standardized content parts that can be represented by universal tile types. By dividing heterogeneous content into common segments (such as text regions, images, tables, and other extractable elements) that fit into a standardized tile framework, the system achieves fine file distinctions through content representation without requiring complex type-specific management procedures.
3Reliability
If multiple file descriptor models are maintained for different content file types, then specific file types can be represented accurately, but the system becomes less scalable and more costly to maintain
Solution Approach 1:
The universal file descriptor model achieves both reliability and adaptability by providing accurate representation of specific file types through a single unified model. The model maintains reliability by using content-based extraction and standardized tile types that accurately represent different file contents, while simultaneously improving scalability by eliminating the need to create and maintain separate models for each new file type.
Solution Approach 2:
The patent introduces dynamics by making the file descriptor model adaptive to different file types through content-based extraction rather than static type-specific definitions. The universal model dynamically adjusts its behavior based on the actual content present in files, extracting relevant content parts and representing them through appropriate tile types, thereby maintaining representation accuracy across diverse file types while improving system scalability.
Data Source
AI summary
Techniques to manage universal file descriptor models for content files are described. An apparatus may comprise a processor circuit and a file descriptor application operative on the processor circuit to manage file descriptors for content files, the file descriptor application arranged to generate a file descriptor for a content file in accordance with a universal file descriptor model, the universal file descriptor model to comprise a file descriptor surface with multiple file descriptor tiles to present corresponding content parts from the content file, with at least one of the file descriptor tiles defining a content part class representing homogeneous content parts from heterogeneous content file types. Other embodiments are described and claimed.