Knowledge Insight Capture for Unstructured Document Search
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Solution Overview
Problem
Existing information retrieval systems struggle with integrating large numbers of company-internal document repositories due to lack of metadata, data privacy concerns, and the invisibility of unstructured data like emails and personal notes, leading to inefficient knowledge management along the innovation chain from research and development to product launch.
Innovation Solution
A computer-implemented method for storage and retrieval of digital information data using a processing unit coupled to a database, involving syntactic and semantic searches, metadata generation, and user interaction for enhanced information retrieval and knowledge management, allowing structured storage and retrieval of insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If user-generated content and metadata are added to document repositories, then information retrieval capability is improved, but information retrieval and extraction problems are created
Solution Approach 1:
The patent introduces an intermediary system that automatically generates structured metadata from unstructured document content. This intermediary layer processes documents through NLP techniques to extract entities, relationships, and contextual information, converting unstructured data into structured metadata that can be efficiently queried without manually creating complex retrieval systems
Solution Approach 2:
The system enables documents to self-annotate by automatically generating their own metadata through AI-driven analysis. Each document undergoes automated processing that extracts relevant information and creates structured metadata tags, allowing the document repository to maintain itself without manual intervention and avoiding the complexity of manual metadata management
2Loss of information
If company-internal document repositories are integrated, then knowledge management is improved, but data privacy concerns increase access costs
Solution Approach 1:
The patent extracts only the necessary metadata and contextual information from documents while leaving the original sensitive content secured in its source location. The system pulls out structured data elements like entities, relationships, and key concepts for indexing and retrieval purposes, allowing knowledge management without requiring direct access to or exposure of the underlying sensitive documents
Solution Approach 2:
An intermediary processing layer is introduced that acts as a buffer between document repositories and the retrieval system. This intermediary automatically processes documents to generate metadata summaries and contextual information, enabling cross-repository search and knowledge management while maintaining data privacy by never exposing the original sensitive content to the retrieval query system
3Loss of information
If unstructured data like emails and personal notes are made visible, then information availability is improved, but data integration difficulty increases
Solution Approach 1:
The patent applies parameter changes by transforming unstructured data with varying formats and structures into a standardized metadata schema. The system dynamically adjusts extraction parameters based on document type (emails, notes, reports) and converts them all into a unified structured format with consistent entities, relationships, and contextual tags, making diverse unstructured data integrable and searchable without manual intervention
Data Source
AI summary
A computer-implemented method for storage of digital information data via at least one processing unit (110) operatively coupled to at least one database is proposed. In at least one embodiment, the method comprises: providing at least one portion of the digital information data; performing at least one syntactic and/or semantic search in the at least one database based upon the portion of the digital information data; providing one or more meta-data strings in response to the at least one syntactic and/or semantic search; receiving at least one relevant meta-data string; and storing the portion of digital information data and the at least one relevant meta-data string. In at least one embodiment, the at least one relevant meta-data string is usable for a future syntactic and/or semantic search.