Support Apparatus for Extracting Synthesis Process Information
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Solution Overview
Problem
Current systems for supporting the search of synthesis processes are limited in effectively utilizing natural language descriptions of synthesis processes and struggle to keep knowledge up-to-date with the latest developments in materials science, making it difficult to efficiently find optimal synthesis routes for new materials.
Innovation Solution
A support apparatus comprising a generation apparatus that extracts material words, treatment words, synthesis conditions, and characteristic values from documents to generate process information, and an analysis apparatus that combines this information to create composite process information, allowing for easy display and search of synthesis procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing systems (JP '257 and JP '425) are used to support synthesis process search, then automatic ranking and prediction of synthesis routes are achieved, but the systems cannot effectively utilize natural language descriptions and cannot keep knowledge up-to-date with latest developments
Solution Approach 1:
The system creates structured data copies from natural language documents by extracting key elements (material words, treatment words, conditions, characteristic values) and associating them to form process information. This copying approach enables the system to capture and utilize information from natural language descriptions while maintaining the original knowledge sources for continuous updates
Solution Approach 2:
The system performs preliminary extraction and association of information elements from documents before actual synthesis process search. By pre-processing documents to create structured process information with associated materials, treatments, conditions, and characteristics, the system prepares knowledge bases that can be efficiently queried and kept current with new developments
2Adaptability or versatility
If multiple documents are processed to generate process information, then comprehensive synthesis routes are obtained, but the complexity of processing and organizing information increases
Solution Approach 1:
The system segments document information into distinct extractable elements: material words (starting materials and target materials), treatment words (synthesis operations), conditions (process parameters), and characteristic values (material properties). This segmentation allows comprehensive processing of multiple documents while managing complexity through structured organization of information components
Solution Approach 2:
The system merges extracted information elements by associating them to form integrated process information. Multiple documents are combined through this association mechanism, where materials, treatments, conditions, and characteristics from different sources are linked together to create comprehensive synthesis route information without overwhelming complexity
3Manufacturing precision
If detailed process information is generated from multiple sources, then accurate synthesis procedures are achieved, but the difficulty of displaying and searching information increases
Solution Approach 1:
The system creates structured representations (copies) of detailed process information by associating extracted elements. This structured copying transforms unstructured natural language details into organized data formats that maintain accuracy while enabling efficient display and search operations through standardized information structures
Data Source
AI summary
A support apparatus includes a generation apparatus and an analysis apparatus. The generation apparatus executes (a-1) to (a-5) with I=1 to n, and generates pieces of process information. The generation apparatus extracts material words from a document i in (a-1), extracts a treatment word i from the document i in (a-2), extracts a synthesis condition i from the document i in (a-3), extracts a characteristic value i related to a target material from the document i in (a-4), and associates the material words, the treatment word i, the synthesis condition i, and the characteristic value i with each other to generate process information i in (a-5). The analysis apparatus includes a combiner that generates composite process information including a common part common to the pieces of process information and different parts different among the pieces of process information, and an outputter that outputs the composite process information.