Hierarchical Classifier Database for Accurate Trademark Goods Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The complexity of selecting the correct list of goods and services for trademark registration, especially in international contexts, is hindered by the need for professional knowledge and varying trademark laws across countries, and existing solutions lack automated selection of goods and services from classifiers.
Innovation Solution
A machine-readable media and hierarchical classifier system that automates the formation of goods and services lists by creating a database with multiple levels of nesting, using unique identifiers and sub-headers to link related records, enabling accurate and automated selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional trademark application process is used with manual selection of goods and services from ICGS classifier, then users can register trademarks, but the process becomes complex and requires professional knowledge
Solution Approach 1:
The patent segments the flat ICGS classifier structure into a hierarchical multi-level structure with nested categories. This segmentation organizes goods and services into parent-child relationships, allowing users to navigate from broad categories to specific items systematically, thereby reducing the complexity of selection while maintaining comprehensiveness.
Solution Approach 2:
The patent implements nesting by creating multiple levels of hierarchical classification where categories contain sub-categories. This nested structure mirrors the organization of goods and services in a logical hierarchy, enabling users to drill down from general to specific classifications without being overwhelmed by the entire flat list at once.
2Measurement precision
If users search using exact or fuzzy words in the entire Nice Classification list, then they can find similar results, but users unfamiliar with the structure may overlook essential items
Solution Approach 1:
The patent performs preliminary action by pre-organizing all goods and services into a hierarchical structure with established parent-child relationships before the user search process. This pre-organization ensures that essential items are properly categorized and linked, so users can discover them through hierarchical navigation even if they don't know the exact classification structure or terminology.
Solution Approach 2:
The patent implements feedback mechanisms where the system provides suggestions and highlights related items based on user selections. When users select a parent category, the system feedbacks by showing associated sub-categories and relevant items, ensuring users don't overlook essential goods and services that may be nested deeper in the hierarchy.
3Adaptability or versatility
If trademark laws and classification systems vary by country, then international trademark registration is needed, but issues arise regarding proper formation of goods and services
Solution Approach 1:
The patent creates a universal hierarchical classifier structure that can function across multiple countries and classification systems. The multi-level nested hierarchy provides a common framework that can be adapted to accommodate different national classification requirements, allowing the same system to serve multiple jurisdictions with varying trademark laws and classification standards.
Data Source
AI summary
In a preferred embodiment claimed a machine-readable media containing instructions executed by a processor of a computing device, wherein instructions executes the following steps: identify a set of unique text records of a hierarchical classifier with one level of nesting, and each unique text entry is associated with a unique title; Each unique title contains a list consisting of at least many unique subheadings; associate the mentioned identified unique text entries with one of the mentioned unique subheadings to obtain a plurality of associated text entries; a database of text records of a hierarchical classifier with several levels of nesting is formed, containing at least a set of the mentioned associated text records, with each of which at least one first sign of connectivity is associated, and each first sign of connectivity corresponds to one of the mentioned subheadings and the sign of connectivity is a unique identifier of one of the mentioned subheadings.