Intelligent Auto-Filing System for Enterprise Content Management
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Solution Overview
Problem
Existing enterprise content management systems lack the capability to automatically file content objects to workspaces without a priori relationships, leading to manual and inefficient filing processes.
Innovation Solution
Implementing an intelligent auto-filing system that uses entity linking to detect indicators in documents, generate scores, and link documents to relevant workspaces based on attribute values and relationships, enabling automatic filing even for content objects with no initial connection to a business object or workspace.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual filing processes are used for content objects without a priori relationships to workspaces, then flexibility and adaptability are maintained, but productivity and efficiency deteriorate due to manual effort requirements
Solution Approach 1:
The system enables content objects to automatically file themselves to appropriate workspaces through entity linking technology. The auto-filing system detects entities in document text, extracts indicators, generates scores, and autonomously links documents to workspaces without requiring manual intervention, thus maintaining adaptability while dramatically improving productivity
Solution Approach 2:
The patent replaces the mechanical manual filing process with an automated information processing system. Entity linking technology substitutes human cognitive and manual actions with automated text analysis, entity detection, and scoring mechanisms that can process大量 documents efficiently while adapting to different filing scenarios
2Productivity
If automated filing systems are implemented, then productivity and efficiency improve, but device complexity and system requirements worsen due to need for entity linking capabilities
Solution Approach 1:
The automated filing system is segmented into distinct functional modules: entity detection module, indicator extraction module, scoring module, and linking module. This segmentation allows each component to perform a specific task, making the overall complex system more manageable, maintainable, and easier to implement while achieving high productivity through automation
3Measurement precision
If entity linking with scoring is used to improve filing accuracy, then measurement precision improves, but computational requirements and processing time worsen
Solution Approach 1:
The system generates scores for candidate workspaces based on entity indicators extracted from document text. Rather than exhaustively analyzing all possible workspaces, the system focuses on generating and evaluating scores for the most relevant candidates, achieving high measurement precision while limiting computational overhead by processing only the necessary subset of candidates
Data Source
AI summary
Embodiments provide for intelligent auto filing of documents to enterprise content management workspaces. One embodiment of a method includes receiving a document to auto file to a workspace of a content management system; detecting an indicator of an entity from the text of a document, the indicator of the entity corresponding to a value of a workspace attribute; determining a result set of candidate records based on querying a set of workspace data for workspaces with the workspace attribute value corresponding to the indicator; detecting mentions in the document text that match attribute values from the candidate records; generating a score for each candidate record based on the mentions detected in the text that match the attribute values from the candidate record; linking the document to an entity based on the scores for the candidate record; and automatically storing the document to a workspace based on the linking.