Standard Components Query System Based on Logical Filtering and Semantic Retrieval

Abstract

The establishment of a robust standard components database is essential in various industries to streamline product development and ensure quality. This paper presents a system for querying standard components data, leveraging the power of logical filtering and semantic retrieval. The structured approach of this system includes a well-defined database structure, logical filtering capabilities at different data levels, and advanced semantic retrieval techniques. The outputs of the system demonstrate its effectiveness in handling user queries, analysing unstructured data, and providing meaningful feedback based on logical filtering outcomes. This research contributes to the efficient utilization of standard components data through an innovative and powerful digital query system.