情报科学 ›› 2021, Vol. 39 ›› Issue (7): 186-192.

• 综述 • 上一篇    

面向智慧数据的语义丰富化方法及应用评述

  

  • 出版日期:2021-07-16 发布日期:2021-07-20

  • Online:2021-07-16 Published:2021-07-20

摘要: 【目的/意义】智慧数据是数据资源价值挖掘的承载,其中语义丰富化方法是促成智慧数据的重要手段。语
义丰富化方法及相关实践为智慧数据建设提供参考与借鉴。【方法/过程】从语义丰富化方法的技术角度出发,梳理
语义丰富化与关系型数据库、本体以及关联数据的关系,继而对语义丰富化在医学健康、数字出版、文化遗产等领
域的应用实践展开分析和归纳。【结果/结论】语义丰富化是利用语义网以及文本挖掘、相似度计算等相关技术将数
字资源中隐含的语义关系显性化,并在不同的资源间构建语义链接,促进数字资源的互通、互联与集成。由于数字
资源语义化层次、粒度与面向领域等存在的差异,智慧数据的实现需要语义丰富化诸多方法的有效集成框架。【创
新/局限】本文分析了数据网络中数字资源向数据资源转化的新方法,但仅局限于语义丰富化在部分领域中的应
用,还需丰富和扩展资料,总结语义丰富化的框架和应用分析。

Abstract: 【Purpose/significance】Smart data has become a way to mine the value of data resources. For the association and integra?
tion of multi-source data, semantic enrichment has become an important method. Understanding the research status of semantic en?
richment can provide theoretical reference and new study perspective for the smart data.【Method/process】From the aspect of techno?logical application and subject areas of semantic enrichment, this paper analyzes the relationship between semantic enrichment and re?lational database, ontology and linked data, while summarizes the research and practice of semantic enrichment in medical health, digi? tal publishing, cultural heritage and other fields.【Result/conclusion】Semantic enrichment refers to clear underlying semantic relation?ships, and build semantic links between different resources to facilitate the integration and sharing of digital resources. Due to the dif? ferences in semantic level, granularity and domain of digital resources, the realization of smart data requires an effective integration framework of semantic enrichment methods.【Innovation/limitation】The innovation of this article is analyzing the new method of trans? forming digital resources into data resources in web of data, but it is only limited to the application of semantic enrichment in somefields. In addition, the research data should be further expanded and enriched to summarize the framework of semantic enrichment.