Semantic Labeling for Automated Component Document Linking
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Solution Overview
Problem
Existing information systems for motor vehicle workshops are inefficient in selecting and reproducing diagnostic and repair information, as they rely on manual linking and high administrative burdens, leading to increased costs and complexity.
Innovation Solution
An information system that utilizes semantic labeling to automatically create links between document and component data sets, eliminating the need for manual href references and allowing for automated relevance-based information display, thereby simplifying the navigation and administration of large datasets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual linking methods are used to connect document and component data sets, then information systems can be established, but the administrative burden and complexity increase significantly
Solution Approach 1:
The system automatically creates component links by comparing semantic labels in document data sets with component data sets. The comparator device autonomously identifies matches and the component link device automatically establishes links without human intervention, making the system self-configuring and eliminating manual administrative work.
Solution Approach 2:
The patent replaces manual mechanical linking operations with an automated information processing system. The comparator device uses semantic label matching algorithms to substitute human comparison work, and the component link device automates the link creation process that previously required manual database operations.
2Loss of information
If comprehensive component links are created between all document and component data sets, then information completeness is improved, but system complexity and administrative costs increase
Solution Approach 1:
The system replaces complex manual information management with automated semantic label comparison. The comparator device systematically matches labels between document and component data sets, automatically creating appropriate links without requiring manual review or configuration of each relationship.
Solution Approach 2:
The system autonomously performs information completeness management by continuously comparing semantic labels and automatically creating or updating component links as needed. This self-service approach maintains comprehensive information links without requiring ongoing manual administrative intervention.
3Productivity
If automated semantic labeling is implemented to create component links, then administrative burden is reduced, but information retrieval relevance requirements increase
Solution Approach 1:
The system replaces manual semantic analysis with automated label comparison algorithms. The comparator device systematically evaluates semantic labels using predefined matching criteria, automatically determining relevance without human judgment while maintaining consistent and objective information retrieval accuracy.
Data Source
AI summary
An information system has: a component memory for storing component data sets; a component link device for creating component links in the one component link memory; a document memory for storing document data sets; a document link device for linking entries for components for which a component data set exists in the component memory to the corresponding component data set; and a document access device having a document selection device and an evaluation device that is fashioned to (i) identify first component data sets linked to a first document data set, (ii) identify second component data sets linked to the identified first component data sets, and (iii) identify second document data sets linked to the identified second component data sets.