利用开放语义资源丰富个人名称规范数据——基于FOAF的方案设计

Enriching Personal Name Authority with Open Semantic Resources: FOAF for Schema Design

【目的】我国规范数据质量差且维护效率低下,需探索低成本高效率的信息源获取模式,丰富个人名称规范数据。【方法】分别从语义资源数量和类型的有效性,高效维护的评价指标易获取、自动化程度、维护速度和开放资源可信度三个方面论证用语义资源维护名称规范的可行性,同时以FOAF为例设计实现方案。【结果】制定了获取语义资源的限制条件、接口方式和收割规则策略,给出发现、整合资源的RDF谓词以及开发包和软件两种实现技术,设计丰富名称规范数据的自动多重匹配算法和映射表。【局限】只提供实现流程及方案,没有付诸实施;语义资源获取后的存储方式、提取处理方法只是框架设计,没有给出详细的实现技术。【结论】可以将与个人相关的开放语义资源自动匹配,丰富本地名称规范数据。

[Objective] This study ctreated a new model to improve the quality and maintenance efficiency of the personal name authority data in China. [Methods] To prove the feasibility of using open semantic resources to enrich the name authority data, this study analyzed the number and types of semantic resources, evaluation metrics, automation and maintenance speed, as well as the credibility of the open resource. The FOAF was used as an example to implement the schema. [Results] This study set restriction conditions, interface mode and harvest rules for obtaining the semantic resources. It created RDF predicate and two realizing techniques, like SDK and software to discover and integrate resources. This study designed automatic multi-matching algorithm and mapping table to automatically enrich name authority data. [Limitations] Only creates the schema, which was not put into practice. The semantic resource’s storage model and the extraction processing methods are also at the initial framework stage. No detailed implementation technology was discussed. [Conclusions] The proposed method could be automatically matched with open semantic resources of the individual names to enrich local personal name authority data.