2023 Volume 2023 Issue SWO-061 Pages 05-
In the automotive industry, competition in the electrification sector which is typified by electric vehicles, is intensifying.To stand out in this field, our company aims to establish a development process that balances reduced development periods with enhanced product quality.For that purpose, we are building a system that interprets a wide variety of in-house product development knowledge through ontologies and leverages it for design support.This paper outlines the design support system and the ontology structure that defines internal knowledge and shares it efficiently across multiple products, also explains our knowledge extraction methodology, which is designed to streamline the construction of ontologies.The method consists of four steps: named entity recognition, relation extraction, zero anaphora resolution, and entity linking, proposing a rule-based method that utilizes the ontology structure for relation extraction and entity linking.Evaluations using in-house documents have yielded good results at each step, notably showing that rule-based methods surpass machine learning methods in accuracy. This demonstrates that high-precision knowledge extraction is feasible within in-house domains by constructing ontologies.Furthermore, the study provided insights into the selection of in-house documents during the initial and middle-to-late stages of ontology construction, as well as the number of documents that should be manually annotated, in terms of the volume of knowledge that can be extracted and the accuracy of named entity recognition.
