Topic Mapping System for Terminology Standardization
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Solution Overview
Problem
In various domains such as engineering, finance, and accounting, terms used by different users, including professionals and non-professionals, can be redundant, ambiguous, or poorly chosen, leading to inefficient and error-prone processing, especially when trying to organize and map similar concepts.
Innovation Solution
A method and system that identify and map topics within a domain by analyzing terms defined by different users, assigning tokens for relevance, and establishing a similarity value to create a mapping between topics, allowing for the grouping of terms into structured topics and sub-topics, facilitating seamless communication and compliance across different terminologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If terms are processed without organization and mapping, then processing speed may be maintained, but error rate increases and compliance reliability deteriorates
Solution Approach 1:
The patent segments the unorganized term processing task into distinct components: topic identification, term-to-topic assignment, and topic mapping establishment. This segmentation allows each component to be processed independently and systematically, improving reliability without overwhelming the system with monolithic complexity.
Solution Approach 2:
The patent performs preliminary organization by identifying topics and assigning terms to topics before final processing. This preliminary structuring of data reduces errors in subsequent processing steps while maintaining manageable system complexity through staged implementation.
2Productivity
If multiple terminologies from different users are processed separately, then user-specific accuracy is maintained, but overall processing efficiency deteriorates
Solution Approach 1:
The patent merges multiple user terminologies by establishing topic mappings that connect equivalent terms across different user contexts. This combining approach improves overall processing efficiency by allowing standardized topic-based handling while preserving the nuanced meanings through the mapping relationships.
Solution Approach 2:
The patent introduces topics as intermediary concepts that mediate between different user terminologies. These topic mappings serve as a bridge that connects diverse user-specific terms to a common framework, enabling efficient processing without losing the distinctive characteristics of each terminology.
3Measurement precision
If topic mapping is established with high granularity, then mapping precision improves, but computational complexity increases
Solution Approach 1:
The patent applies local quality by establishing topic mappings at the appropriate level of granularity for each specific domain and context. Rather than uniformly high granularity across all mappings, the system adapts the detail level to local requirements, achieving sufficient precision without unnecessary computational overhead.
Data Source
AI summary
The invention relates to a method for mapping topics. The method includes obtaining terms, obtaining tokens from each term, and identifying a first and a second set of topics. Each of the topics represents one or more of the terms. The method further includes identifying first and second topic names for the first and the second sets of topics. For each topic, the tokens associated with the terms assigned to the topic are analyzed for relevance, and a token with a high relevance is selected as the topic name. The method also includes selecting one of the first and one of the second sets of topics to obtain first and second selected topics, determining, based on the one or more terms, a similarity value between each of the first and the second selected topics, and establishing a mapping between similar first and second selected topics.