Nested Classifier Database for Precise Goods and Services Selection
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Solution Overview
Problem
The complexity of selecting the correct list of goods and services for trademark registration, particularly in international applications, is hindered by the need for professional knowledge and varying trademark laws across countries, leading to inaccuracies and inefficiencies in the selection process.
Innovation Solution
A method for creating a hierarchical classifier database with multiple levels of nesting, enabling automated selection of goods and services by associating unique text records with sub-headers through identifiers, forming a multi-level database that facilitates accurate and efficient list formation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single-level classifier is used for goods and services selection, then the structure is simple, but the accuracy and completeness of selecting required goods and services deteriorates
Solution Approach 1:
The patent implements a multi-level hierarchical classifier where class-level nodes contain service-level nodes, which in turn contain goods-level nodes. This nested structure allows users to navigate from broad categories to specific items, improving selection accuracy while maintaining manageable complexity through progressive refinement.
Solution Approach 2:
The patent transitions from a single-level flat structure to a multi-level hierarchical structure by adding the dimension of nesting depth. This creates additional layers (class level, service level, goods level) that enable more precise classification and selection of goods and services.
2Productivity
If automated selection of goods and services is implemented, then productivity improves, but the complexity of the system increases
Solution Approach 1:
The patent pre-organizes all goods and services into a structured hierarchical database with defined relationships between classes, services, and items. This preliminary structuring enables automated selection algorithms to efficiently navigate and retrieve appropriate goods and services without requiring complex real-time analysis.
Solution Approach 2:
The hierarchical classifier structure acts as an intermediary between user input and the final goods/services selection. The structured database with predefined relationships mediates the selection process, translating user requirements into appropriate classifications without requiring the system to handle unstructured data.
3Reliability
If exact word search is used in the entire Nice Classification list, then comprehensive results can be found, but the time required to locate correct entries increases
Solution Approach 1:
The patent divides the comprehensive Nice Classification into segmented hierarchical levels (class level, service level, goods level). This segmentation allows users to perform targeted searches at appropriate levels rather than searching the entire classification, reducing search time while maintaining completeness through the hierarchical navigation structure.
Data Source
AI summary
The method executed by the processor of a computer device for forming a database of text records of a hierarchical classifier with several levels of nesting, containing 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.