Document Processing System Linking Offline Images to Metadata
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Solution Overview
Problem
Existing document processing systems fail to effectively link offline documents, such as paper documents or facsimile documents, with their associated metadata and relation data to online semantic networks, leading to disconnection and inefficient management and search capabilities.
Innovation Solution
A document processing system that includes a storage unit for document data with metadata and relation information, an input unit for image data, and a control unit to specify and store related documents based on metadata, enabling the linking of input image data with relevant document data and maintaining relation information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If document processing systems store and manage document data with metadata and relation information, then document management and search capabilities are improved, but the system complexity increases
Solution Approach 1:
The patent introduces a document processing apparatus as an intermediary component that sits between document storage systems and user applications. This apparatus automatically extracts metadata and relation information from documents, manages the semantic networks, and provides standardized interfaces for document retrieval and management, thereby reducing overall system complexity while improving management efficiency
Solution Approach 2:
The system enables documents to be automatically processed and indexed without manual intervention. The document processing apparatus autonomously extracts metadata, establishes relation information, and integrates documents into semantic networks automatically, reducing the need for complex manual management processes
2Ease of operation
If offline documents are disconnected from online semantic networks, then system simplicity is maintained, but document retrieval efficiency deteriorates
Solution Approach 1:
The system performs preliminary processing of offline documents by automatically extracting metadata and establishing relation information before they are needed for retrieval. This pre-processing creates the semantic network connections in advance, enabling efficient document retrieval without requiring complex real-time processing or maintaining overly complex system structures
3Productivity
If relation information between documents is stored and managed, then document organization is improved, but storage requirements increase
Solution Approach 1:
The patent applies local quality by storing relation information and metadata selectively at the most appropriate levels (document level, collection level, or network level) rather than uniformly throughout the system. This targeted approach maintains effective document organization while minimizing unnecessary storage requirements by only retaining essential relation data where it provides maximum organizational value
Data Source
AI summary
This invention is directed to a document processing system and control method thereof. The system stores a plurality of items of document data each containing metadata pertaining to the contents of each item of document data, and relation information representing the relations between the plurality of items of document data. When scanned image data or facsimile-received image data is input, document data related to the input image data is specified among the plurality of items of stored document data, based on the metadata contained in each item of document data. Relation information representing the relation between the input image data and the specified related document data is stored. Even document data obtained from a paper document is able to be stored as document data subjected to search processing.