Document Q&A Curation With Secure Distributed Search
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Solution Overview
Problem
Organizations face challenges in efficiently navigating large document repositories due to the lack of a rich natural language interface, data security concerns when storing searchable documents centrally, and the need for secure and efficient query answering across distributed networks.
Innovation Solution
A document processing system that transforms source documents into a document object model (DOM) for Q-A searching, using question-and-answer caching and transformations like BERT models, and ensures secure data communication by processing data within the customer's network before transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If documents are stored in a centralized location for efficient searching, then search speed and accessibility are improved, but data security and privacy are compromised
Solution Approach 1:
The patent segments the document repository into multiple distributed locations across different networks and jurisdictions. Each location maintains a portion of the searchable documents, allowing queries to be processed in parallel across segments while keeping sensitive data localized and secure within organizational boundaries.
Solution Approach 2:
The patent introduces an intermediary query processing system that receives search queries, distributes them to appropriate document locations, aggregates results, and returns answers without exposing raw document data. This intermediary layer enables centralized search functionality while maintaining distributed data security.
2Ease of operation
If a rich natural language interface is implemented for navigating documents, then user ease of operation is improved, but system complexity increases
Solution Approach 1:
The patent implements self-service through automated natural language processing and question-answering systems that automatically interpret user queries, locate relevant documents, extract key information, and present answers without requiring users to manually navigate complex document structures or understand system internals.
Solution Approach 2:
The patent replaces manual mechanical navigation of documents with automated computational processes. Natural language queries are processed through AI-driven text analysis, document retrieval, and information extraction systems that automatically perform tasks previously requiring manual document searching and reading.
3Ease of manufacture
If third-party services are used to manage and search documents, then organizational resource requirements are reduced, but data privacy and security control are lost
Solution Approach 1:
The patent creates a universal document management architecture that can be deployed within any organization's existing infrastructure, combining the capabilities of third-party search services with in-house data control. The system provides multi-functional capabilities including document indexing, natural language querying, and result aggregation that can operate independently within organizational networks.
Data Source
AI summary
Disclosed are implementations that include a method including obtaining at a local device, a question-and-answer data item representative of a question-and-answer pair relating to source content of a source document, with the question-and-answer data item being associated with question-and-answer history information representative of historical information and access information for the question-and-answer data item, and determining based on the question-and-answer history information whether to perform data refinement operations on the question-and-answer data item. The method further includes selecting, in response to a determination that the question-and-answer data item is to be refined, one of a plurality of users according to one or more matching criteria relating, at least in part, to subject-matter associated with the question-and-answer data item and expertise information respectively associated with the plurality of users, and communicating at least the question-and-answer data item to a destination device associated with the selected one of the plurality of users.