Domain-Specific Knowledge Card for Document Context
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Solution Overview
Problem
Employees, especially new ones, face inefficiencies and delays in understanding domain-specific vocabularies and terms within organizations, leading to reduced productivity and increased time spent on information discovery.
Innovation Solution
A computer-implemented method and system that dynamically presents information by identifying domain-specific terms in digital documents, providing interactive elements for user interaction, and displaying definitions and related resources through a knowledge card interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If employees use traditional methods (internet searches, emails, phone calls) to find domain-specific term definitions, then they can eventually obtain the information, but the time required and productivity are significantly reduced
Solution Approach 1:
The system performs preliminary action by pre-processing and indexing domain-specific terms, definitions, and related resources into a structured knowledge base before users need them. When users encounter unfamiliar terms, the system can instantly retrieve and present relevant information without requiring users to perform time-consuming searches through emails, phone calls, or internet searches.
Solution Approach 2:
The patent introduces an intermediary system (the knowledge management system with term identification module) that mediates between users and domain-specific knowledge resources. This intermediary automatically identifies domain-specific terms in context, retrieves relevant definitions and resources from the knowledge base, and presents them to users, eliminating the need for users to directly search through multiple communication channels.
2Ease of operation
If employees manually search for and communicate to understand domain-specific terms, then they can acquire knowledge, but the complexity of the process increases
Solution Approach 1:
The system implements self-service by enabling users to automatically obtain domain-specific term definitions and related knowledge simply by encountering the terms in their work context. The system autonomously identifies terms, queries the knowledge base, and presents results without requiring users to manually initiate searches, contact colleagues, or navigate complex information retrieval processes.
Solution Approach 2:
The intermediary system simplifies the knowledge acquisition process by handling all complexity internally. It includes a term identification module that automatically detects domain-specific terms in context, a knowledge base that stores structured information, and a presentation module that delivers relevant knowledge to users. This intermediary absorbs the complexity of information organization and retrieval, presenting a simple interface to users.
3Measurement precision
If organizations maintain extensive domain-specific vocabularies for specialized work, then knowledge precision and professionalism improve, but new employees face greater difficulty understanding and integrating
Solution Approach 1:
The system applies local quality by providing context-specific explanations and adaptations of domain-specific terms. Rather than requiring all employees to master the entire extensive vocabulary, the system delivers targeted definitions and explanations only for the specific terms encountered in each user's work context, making knowledge acquisition localized to immediate needs.
Solution Approach 2:
The system performs preliminary action by pre-organizing extensive domain-specific vocabularies into structured knowledge bases with definitions, examples, and related resources. This preparation enables instant retrieval and presentation of relevant term explanations when needed, allowing new employees to understand specialized terminology on-demand without requiring extensive upfront training or memorization.
Data Source
AI summary
In one embodiment, a computer-implemented method for dynamically presenting information in digital documents comprises receiving text data; identifying in the text data a target domain-specific term based on a set of domain-specific term records, each domain-specific term record including a domain-specific term and a term description; providing an interactive element corresponding to the target domain-specific term; receiving a signal indicating a user interacting with the interactive element; accessing a target domain-specific term record from the set of domain-specific term records corresponding to the target domain-specific term, to retrieve a target term description being a term description for the target domain-specific term, in response to the signal; and displaying the target term description using a domain-specific term associated knowledge card.