基于主题图的数字档案标注系统资源聚合研究

Study on Resource Aggregation of Digital Archives Tagging System Based on Topic Maps

[目的／意义]针对社会化标注系统用于数字档案资源组织后带来的资源检索与导航问题，提出依托主题图的数字档案资源聚合模型，以期提高数字档案资源检索效率并建立有序的可视化导航。[方法／过程]在剖析利用主题图实现社会化标注系统资源聚合相关研究现状的基础上，构建数字档案领域基于主题图的资源聚合模型，给出利用社会网络分析和形式概念分析析取数字档案资源主题图的主题类型、关联关系及资源指引三要素的体系化解决方案，从而实现数字档案标注系统资源聚合。[结果／结论]以NARA数字档案标注系统中的“Women at War”话题为例，利用所提方法并结合Ontopia工具实现目标话题的数字档案资源聚合，有效提高系统中数字档案资源的检索效率和导航效果。

[ Purpose/significance ] Aiming at the problems of resource retrieval and navigation which are caused by social tagging system used for digital archive resource organization, a digital archive resource aggregation model based on topic maps is presented in order to improve the efficiency of digital archive resource retrieval and establish an orderly visual navigation. [ Method/process ] Based on the analysis of using topic maps to realize the research status of social tagging system resource aggregation, a resource aggregation model based on topic maps in the field of digital archives is construc- ted, and a systematic solution to the three key elements of digital archives resource ： topic types, association types and oc- currence types is given, which uses social network analysis and formal concept analysis, so as to realize the resource ag- gregation of digital archives tagging system. [ Result/conclusion ~ Taking the topic of ＂Women at War＂ in NARA digital archives tagging system as an example, we use the method proposed in this paper and combine 0ntopia tools to achieve the aggregation of digital archives resources of target topic, which effectively improves the retrieval efficiency and navigation effect of digital archives resources.