PZXG: A Genealogy Data Service Platform for Kinship Management and Application

Yuwei Peng, Hua Jiang, Rongrong Li, Zhiyong Peng
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Abstract

Genealogy is one of the three kinds of historical literatures which are valuable to historical research and humanities research. However, traditionally, it is hard to build and revise a genealogy. And it is even impossible to manage and query the genealogy efficiently. In this paper, we proposed PZXG, which is a genealogy data service platform, to solve these issues. Firstly, for structured and unstructured genealogy data, we employ relational database, graph database and distributed file system to store them respectively. Secondly, depending on the hybrid data model of genealogy data, various management features like data acquisition, kin seeking, genealogy exhibition and automatic typesetting are provided. Then in order to extract knowledge from genealogy data, the features of routine statistics and query, root tracing, correlation analysis and data visualization in genealogical data are discussed, and several methods and ideas of text mining for genealogical text are given. Finally, two more urgent research points in the genealogical data management platform are suggested: extracting structural information from unstructured genealogy data and construction of genealogy-specific text language model.
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面向亲属关系管理与应用的家谱数据服务平台
家谱是具有历史研究和人文研究价值的三种历史文献之一。然而,传统上,很难建立和修改家谱。而对族谱的有效管理和查询更是不可能实现。为了解决这些问题,我们提出了一个家谱数据服务平台PZXG。首先,对结构化和非结构化家谱数据分别采用关系数据库、图数据库和分布式文件系统进行存储。其次,基于家谱数据的混合数据模型,提供了数据采集、寻亲、家谱展示、自动排版等多种管理功能。然后,为了从家谱数据中提取知识,讨论了家谱数据的常规统计与查询、根溯源、关联分析和数据可视化等方面的特点,给出了家谱文本挖掘的几种方法和思路。最后,提出了家谱数据管理平台亟待研究的两个方面:从非结构化家谱数据中提取结构化信息和构建家谱专用文本语言模型。
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