基于知识图谱的船型与规范智能查询系统设计实现OA

To address the reliance on experience in mother ship selection and the complexity of specification queries during the preliminary ship design stage,this paper constructs an intelligent ship selection system based on knowledge graph.First,by utilizing text structuring and relation extraction technologies,massive heterogeneous ship type data and design specifications are fused to build a multi-level knowledge graph.Based on this,the Learning to Rank(LTR)algorithm is applied to realize multi-dimensional intelligent ship selection,and intent recognition technology is integrated to achieve intelligent specification question answering.Application cases demonstrate that the system effectively improves the efficiency of ship selection and the accuracy of compliance review,possessing significant engineering practical value.