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作 者:苏宁 刘敏[1] 洪楚扬 邹晟[1] Su Ning;Liu Min;Hong Chuyang;Zou Sheng
机构地区:[1]武汉理工大学交通与物流工程学院,武汉430063
出 处:《起重运输机械》2023年第8期49-57,共9页Hoisting and Conveying Machinery
摘 要:针对港口机械领域从业人员难以准确高效获取领域知识的难题,提出了一种面向港口机械领域的本体自动构建方法,为后续领域信息检索系统的构建奠定了语义层面的基础。首先,在对港口机械领域语料库预处理的基础上,利用基于规则模板与基于统计学相结合的方法抽取港口机械领域本体概念;然后将基于LF的蚁群聚类与谱聚类相融合用于概念间分类关系的抽取,并利用关联规则与基于统计学的VF-ICF方法抽取概念间的非分类关系。在利用Protégé生成初始领域本体并经过本体推理与修改完善后,最终得到了港口机械领域本体,为相关从业人员获取领域知识提供了一种准确可靠的信息源。Considering that it is difficult for practitioners in the field of port machinery to acquire domain knowledge accurately and efficiently,an automatic ontology construction method for the field of port machinery is proposed,which lays a semantic foundation for the construction of subsequent domain information retrieval systems.Firstly,on the basis of preprocessing the corpus of port machinery field,the ontology concept in port machinery field is extracted by combining rule-based template with statistics.Then the LF-based ant colony clustering and spectral clustering are combined to extract the classification relationship between concepts,and the association rules and VF-ICF method based on statistics are used to extract the unclassified relationship between concepts.After the initial domain ontology was generated by Protégéand the ontology reasoning and modification,the domain ontology of port machinery was obtained,which provided an accurate and reliable information source for relevant practitioners to acquire domain knowledge.
分 类 号:TP391.1[自动化与计算机技术—计算机应用技术]
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