Construction and Application of Enterprise Knowledge Base for Product Innovation Design
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As most of the knowledge used in industrial product design is based on data files from a previous design, it is difficult to be efficiently applied in supporting product innovation design. This paper proposes a method to construct an enterprise knowledge base (EKB) for product innovation design. A concept of the functional basis of product (FBP) is first proposed based on similar products. The function units and corresponding technical units are clustered to construct an EKB for product innovation design. A retrieval path of the knowledge is then proposed from the functional level. The prototype software is developed to retrieve the knowledge directly through function units and determine the optimal technology by searching and ranking relevant patents. The patent circumvention and Theory of Inventive Problem Solving (TRIZ) methods are used to solve invention problems and obtain innovative solutions. The built EKB model provides a systematic method for the innovative product design process. An underwater separator is developed in a case study to verify the proposed method.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it