Product optimization design platform construction method based on knowledge graph

Abstract

The invention discloses a knowledge graph-based product optimization design platform construction method, the design platform comprises a data source layer, a data conversion layer, a data layer, a business layer and an application layer, and product optimization data is acquired through the data source layer; the data conversion layer performs data extraction, conversion and transmission by utilizing a Scrapy web crawler framework according to the obtained product optimization data, and sets the data as a file in a preset format and serves as a knowledge database; the data layer receives a file in a preset format for visualization processing, and stores the file in a graph database in a triple data form; the method comprises the following steps: constructing a business layer of a web page end based on a Django framework, and constructing a knowledge database by setting a functional module of the business layer; and packaging an application layer for product design optimization on the function module of the business layer. According to the method, the knowledge database and the knowledge graph of the product are constructed, so that the design period is shortened, the consistency with core requirements of a user is improved, and product recommendation service is provided for a design team.

Description

technical field [0001] The invention relates to the technical field of product optimization design platforms, in particular to a method for building a product optimization design platform based on a knowledge graph. Background technique [0002] The product knowledge graph construction platform is a semi-automatic tool for designers or design teams to build accurate and detailed product knowledge bases based on massive product data. It should have the following three characteristics: the construction process is well-defined; it can cover various processes such as data acquisition, information extraction, knowledge fusion, construction of the map, and knowledge update in the process of building a product knowledge map. The introduction of big data processing capabilities; the process of processing massive product data into a product knowledge base is inseparable from the support of the big data platform, so the platform needs to have big data processing capabilities. It is e...

AI Technical Summary

Problems solved by technology

Easy to use and highly operable; due to the strong product pertinence and professionalism of the product knowledge map, the high technical threshold is not conducive to designers and design teams using it in the product design process

[0003] In most of the current public product knowledge map construction platforms, there are problems and challenges such as imperfect definition of knowledge map construction process, lack of support for big data related technologies, and poor operability for product designers or design teams

More mature knowledge graph construction platforms, such as Microsoft's Probase, Baidu's "Zhixin" and Google's Knowledge Vault, are search engine-oriented and have limited applicability to product design.

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