Graph-Based Material Search System Integrating User Knowledge
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing search systems for material property parameters are limited in utilizing user knowledge and interactive searching, as they rely on predefined search conditions and do not effectively incorporate user-specific relationship information, leading to inefficient searches and missed opportunities for discovering new material combinations.
Innovation Solution
A search system that includes a database, graph generator, and graph searcher, along with a user interface and user information storage unit, allowing users to input and integrate their own knowledge and search history to enhance the search process by collating user-specific information with the database, thereby enabling more effective utilization of user knowledge in finding material property parameter relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a database containing material property parameter information is created and searched using predefined search conditions, then the search process can be automated and objective results can be obtained, but user-specific knowledge and relationship information cannot be effectively utilized
Solution Approach 1:
The patent introduces a user information storage unit as an intermediary component that bridges the automated search system and user-specific knowledge. This unit stores user-defined material property parameters and relationship information, allowing the system to incorporate personalized knowledge into the automated search process without compromising automation. The user information acts as a mediator that enables both automated processing and personalized information utilization.
2Reliability
If the search system relies on predefined search conditions and existing database content, then consistent and reproducible search results can be achieved, but the number of searches required increases and efficiency decreases
Solution Approach 1:
The patent implements preliminary action by allowing users to pre-register their specific material property parameters and relationship information in the user information storage unit before performing searches. This preliminary setup enables the system to quickly retrieve and apply user-specific criteria during subsequent searches, reducing the number of searches needed and improving efficiency while maintaining consistent, reproducible results through the structured storage and retrieval mechanism.
3Productivity
If user-specific information and search history are stored and integrated with the database, then user knowledge can be effectively utilized and search efficiency improved, but the system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the information storage function into distinct components: a main database for general material property information and a separate user information storage unit for personalized parameters and search history. This segmentation allows the system to manage complexity through modular architecture, where each component has a specific function. The user information storage unit can be independently managed and integrated with the main database through standardized interfaces, reducing overall system complexity while enabling efficient utilization of user knowledge.
Data Source
AI summary
To effectively utilize knowledge of relationship information among material property parameters the users tangibly and intangibly have in a search system that generates a graph in which material property parameters are nodes and relationships of the material property parameters are edges from a database of material property parameter pairs whose relationships are already known, and conducts a path search in the generated graph. A search system, which includes the database, a graph generator that generates the graph, and a graph searcher searches the graph, further includes a user interface and a user information storage unit corresponding to each user. The user conducts a search unique to the user by inputting relationship information between the material property parameters that he has to the user information storage unit and integrating the relationship information into the above graph. Further, by accumulating a history of searches conducted by the user in the user information storage unit and analyzing the search history, the user can be provided with new knowledge.