摘要
知识重用是利用已有的知识创造新价值的过程。在工程领域,业务对象复杂会导致知识重用困难。知识图谱作为人工智能领域兴起的新技术,能够用于解决知识重用困难的问题。提出一种面向工程机械装备案例库的知识图谱构建方法,采用自顶向下和自底向上相结合的逻辑结构模式构建知识图谱,数据层构建有知识抽取、知识融合、知识存储表达三个步骤。基于某公司桩基施工案例库构建工程机械装备案例库知识图谱,并进行应用,实现业务查询可视化和基于地层属性的钻头推荐。
Knowledge reuse is the process of using existing knowledge to create new value.In the engineering field, complex business object makes knowledge reuse difficult.As a new technology in the field of artificial intelligence, knowledge map can be used to solve the problem of difficult knowledge reuse.A knowledge map construction method was proposed and applied to the case library on construction machinery equipment, which used a top-down and bottom-up logical structure model to build a knowledge map.The construction of data layer includes three steps such as knowledge extraction, knowledge fusion and knowledge storage & expression.Based on the case library on a company’s pile foundation construction, a knowledge map of case library on construction machinery equipment was constructed and applied to realize visualized business query and recommendation of drill bit based on stratigraphic properties.
出处
《机械制造》
2022年第6期1-9,18,共10页
Machinery
基金
浙江省公益技术应用研究计划项目(编号:LGG18E050002)
宁波市自然科学基金资助项目(编号:2018A610131)。
关键词
工程机械装备
案例库
知识图谱
研究
Construction Machinery Equipment
Case Library
Knowledge Map
Study
