Knowledge Base Synthetic Document Generation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Knowledge base systems are inefficient as users must navigate and search multiple documents to find relevant information, leading to time-consuming and resource-intensive searches, with limited ability to customize results or exclude irrelevant documents.
Innovation Solution
The system generates synthetic documents by combining relevant elements from multiple documents based on user-defined synthetic document descriptors, allowing users to receive a single, aggregated document instead of multiple references, and enables users to define custom result sets through an interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the knowledge base system returns multiple separate documents in response to a query, then the system provides comprehensive information coverage, but the user must navigate and search multiple documents which is time-consuming and tedious
Solution Approach 1:
The patent merges multiple separate documents into a single synthesized document that consolidates all relevant information from the source documents. This synthesis process combines the content while maintaining the comprehensive information coverage, eliminating the need for users to navigate multiple separate documents and significantly reducing navigation time.
Solution Approach 2:
The system performs preliminary synthesis of documents into a consolidated format before the user needs to access the information. By pre-processing and combining the documents into a single synthesized document, the system prepares the information in an easily accessible format that eliminates subsequent navigation requirements.
2Productivity
If the knowledge base system provides default search results, then the system operates with simple automated processing, but users cannot define custom result sets or exclude irrelevant documents
Solution Approach 1:
The system dynamically adapts between automated default processing and user-customized processing modes. Users can switch between receiving default synthesized documents and providing custom synthesis parameters, allowing the system to maintain high processing efficiency while becoming adaptable to specific user needs when required.
Solution Approach 2:
The system provides users with the capability to define their own synthesis parameters and custom result sets through an interface. This self-service approach allows users to customize document synthesis according to their specific needs while the system automatically processes these custom parameters, maintaining efficiency while enabling versatility.
3Device complexity
If users must access each document separately to locate relevant information, then the system maintains simple document storage and retrieval, but the user effort and resource consumption increase significantly
Solution Approach 1:
The system merges multiple separate documents into a single synthesized document that consolidates all relevant information. This merging maintains the simplicity of document storage and retrieval at the system level while dramatically improving ease of operation for users, who now access a single consolidated document rather than navigating multiple separate files.
Data Source
AI summary
In one embodiment, a query is received at a knowledge base system via a communications link and a new rule is generated in response to an indication that a rule library of the knowledge base system does not include a rule associated with the query. A synthetic document descriptor is received and a value associated with the synthetic document descriptor is stored at an action identifier of the new rule. The new rule is then stored at the rule library. The new rule has a condition identifier field and an action identifier field, and the condition identifier field of the new rule has a value associated with the query. The synthetic document descriptor includes a first reference to a portion of a first document and a second reference to a portion of a second document.