Unified Text Search Across Repositories With Secure Access Control
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Solution Overview
Problem
Existing methods for searching textual content across multiple repositories lack flexibility in search criteria, integration of metadata and context searching, and suffer from slow query response times, failing to provide comprehensive and accurate search results.
Innovation Solution
A unified search interface that integrates metadata and context searching with flexible criteria, enforces user access privileges, and uses a unified index for faster query response times, allowing secure and efficient searching across heterogeneous repositories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If separate search interfaces or basic centralized search interfaces are used for each repository, then search functionality is provided, but flexibility in search criteria is limited and comprehensive solution for securely searching heterogeneous data is lacking
Solution Approach 1:
The patent implements a unified search interface that serves multiple repositories with heterogeneous data formats through a single system. The interface accepts diverse search criteria including metadata-based searches, context-based searches, and full-text searches across different document types (PDF, DOC, XLS, images, videos). This universal interface eliminates the need for separate search interfaces for each repository while maintaining flexibility in search criteria through standardized query mechanisms that adapt to different data types and repository structures.
2Productivity
If metadata searching is employed based on predefined metadata attributes, then search functionality is provided, but ability to capture full context and content of documents is limited
Solution Approach 1:
The patent merges metadata searching with context searching into a unified search framework. The system performs both metadata-based filtering (using attributes like title, author, date) and context-based analysis (analyzing actual document content) simultaneously. This combination allows the search to first narrow down candidates using efficient metadata indexing, then apply context-based relevance ranking to capture full document meaning and content accuracy, thereby capturing both structured metadata information and unstructured content context.
3Measurement precision
If context searching is used in isolation to analyze document content, then relevant information is identified, but integration with metadata searching is lacking and search results are not comprehensive or accurate
Solution Approach 1:
The patent segments the search process into distinct but integrated components: metadata extraction and indexing, context analysis and processing, and unified result ranking. Each component operates independently with specialized algorithms (metadata parsers for structured data, NLP models for context understanding), yet they are coordinated through a unified search architecture that combines their outputs. This segmentation allows each component to be optimized for its specific function while maintaining overall system integration, resulting in comprehensive and accurate search results.
4Reliability
If previous approaches are used for searching across multiple repositories, then search capability is provided, but query response times are slow due to lack of unified index
Solution Approach 1:
The patent implements preliminary indexing of both metadata and full-text content from all repositories into a unified index structure before search queries are executed. During the indexing phase, the system pre-processes and stores metadata attributes, extracted text content, and contextual features in optimized data structures. When search queries are submitted, the system leverages this pre-computed unified index to rapidly retrieve and rank results, eliminating the need for real-time processing of raw documents. This preliminary action significantly reduces query response times while maintaining comprehensive search capability across heterogeneous repositories.
Data Source
AI summary
According to various embodiments a device may provide an interactive searching interface for securely searching of textual content across a plurality of documents stored in a plurality of repositories comprising heterogenous data, the securely searching of the textual content comprising using a flexible search criteria and enforcing user access privileges to the plurality of documents A device may use unified searching, using a unified search criteria definition, the plurality of repositories in response to the feedback from the user, the unified searching being interactive, iterative, and using a unified index resulting in faster query response times than the metadata searching the plurality of repositories.