沈志宏,黎建辉,张晓林.面向LOD的关联发现过程的定位、目标与复杂性分析[J].中国图书馆学报,2013,39(6):101~108
Insights into Link Discovery Process for Linked Open Data:Positioning, Goals and Complexity
面向LOD的关联发现过程的定位、目标与复杂性分析
Received:February 27, 2013  Revised:May 14, 2013
DOI:
Key words:Linked data, Link discovery, Data interlinking,
中文关键词:  关联数据,关联发现,数据互联
基金项目:本文系中国科学院“十二五”信息化专项“科技数据资源整合与共享工程”课题“科学数据管理与共享云服务平台”(XXH12504-01-02)、国家自然科学基金重点项目资助“面向非常规突发事件应急管理的云服务体系和关键技术”(91224006)的研究成果之一。
Author NameAffiliationE-mail
Shen Zhihong* 中国科学院计算机网络信息中心,北京 北京 100190 bluejoe@cnic.cn 
Li Jianhui 中国科学院计算机网络信息中心,北京 北京 100190  
Zhang Xiaolin 中国科学院国家科学图书馆,北京 北京 100190  
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Abstract:
This paper studies link discovery process for Linking Open Data (LOD), and analyzes the positioning, goals and complexity of the process. The study finds that link discovery process is located in the second phase of the three stages of linked data application process, namely linked data publishing, interlinking and consuming. The overall goal of link discovery process is to build a linked data network for different LOD resources, and the process is essentially a continuous evolving process of the entire network. It is also found that the link discovery process is a very complex process with multiple tasks, approaches and steps. This paper argues that current frameworks of link discovery are inefficient due to insufficient support for network evolution, the lack of variation in task types, and streamline mechanisms. As a result, there is an urgent need for new theories, methods and frameworks for link discovery, which should be designed for the entire linked data network that can support the full evolution process, and performance of multi-tasks and integration. 5figs. 1tab. 17refs.
中文摘要:
      本文以关联数据应用过程中的关联发现过程为研究对象,分析了面向关联开放数据(LOD)的关联发现过程的定位、目标与复杂性。本文认为,关联发现过程处于关联数据应用过程三阶段(数据发布、数据互联与数据消费)中的第二阶段。关联发现过程的整体目标是构建多类资源之间的关联数据网络,该过程的本质就是关联数据网络不断演变的过程。关联发现的过程具有多任务、多路径、多步骤等复杂性特征。目前流行的关联发现框架还存在缺乏对整个网络演变过程的支持、任务类型单一、缺乏流水线机制等不足。因此,关联发现技术的研究急需新的面向整个关联数据网络的、支持完整演变过程的、支持多任务集成的理论、方法与框架。图5。表1。参考文献17。
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