基于语义知识网络的文书档案修复方法  

Administrative Archives Restoration Method Based on Semantic Knowledge Network

作　　者：石秀春[1] 王福生[2] 

机构地区：[1]鲁东大学档案馆,264025 [2]鲁东大学图书馆,264025

出　　处：《档案学研究》2009年第3期57-59,共3页Archives Science Study

摘　　要：基于语义知识网络理论,提出了一种文书档案修复方法,来填充档案中缺失的(或者模糊的)部分文字数据。本文首先介绍了复杂网络的相关知识,然后根据复杂网络的社团结构原理提出了用于文书档案修复的填充算法,最后,应用实例说明了本文方法的可行性。Based on the language knowledge network theories, a repair method of documents is presented to remedy the missed （or blurry） character data in the archives. Firstly, many correlation knowledge of complex network are introduced. Then, the complement method of documents is put forward to remedy the missed letter data based on the community structure principle of the complex network. Finally, a example is used to demonstrate the availability of this text analyzing method.

关 键 词：语义知识 复杂网络 社团结构 档案修复 

分 类 号：G272.4[文化科学—档案学]