中图法与DDC类目自动映射研究

The Study on Automatic Mapping of Category Between Chinese Library Classification and DDC

【目的】研究中图法与DDC类目自动映射的问题,通过实现两者的互操作以达到集成检索、浏览和下载跨语言、跨地区的信息资源的目的。【方法】基于人工匹配映射的数据,研究基于特征集、类目匹配规则、类目关系、书目记录的语义匹配算法。【结果】实验证明,将近80%的类目与人工映射结果的数据相同,一定程度上提高了自动映射的准确性。【局限】仅基于人工映射经验提出基于特征词集的类目相似度计算,尚未实现语义层面的精确计算。实验数据局限在理学类目领域,未对其他领域的类目特征详细研究。【结论】综合考虑类目的含义受类名、类目注释、主题词、上下位关系等多种因素影响而提出的自动映射算法,相比当前主要考虑单一方面的要素而言,具有客观性和全面性。

[Objective] Study the problems of automatic mapping aiming to realize integrated retrieval, browsing, downloading information cross regions and language through classification interoperation. [Methods] Discuss semantic similarity algorithm considering characteristic sets, category matching rules and semantic relation based on artificial mapping data. [Results] Prove that 80% categories are the same as the results of artificial mapping in the experiment. [Limitations] The similarity of categories based on characteristic sets, is short of matching of semantic operation. Also is only in the field of science, it is necessary to apply in other fields in the future. [Conclusions] The algorithm is considering comprehensively category names, notations, subject vocabularies, and semantic relations which define connotation and denotation of concepts, comparing to the existing limitation of relying solely on the category names matching method.