基于本体的大数据教育资源整合与共享

Jing Xiong, Yuntong Liu, W. Liu
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引用次数: 7

摘要

在大数据时代,海量的教育资源存储在互联网和移动网络上。然而,这些资源大多是异构的和分散的,它们有不同的格式。这些资源是为人类阅读而设计的,机器无法理解。它们的低级共享和重用使它们难以获得。如何快速有效地获取用户所需的资源并加以利用是一个亟待解决的问题。为了解决这一问题,提出了基于本体的整合教育资源框架和共享策略。利用本体语义的优势,对这些教育资源进行语义标注,使计算机能够理解和处理标记的信息。基于本体的集成与共享策略可以提高教育资源检索的查全率和查准率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ontology-Based Integration and Sharing of Big Data Educational Resources
In the era of big data, massive educational resources are stored on the internet and mobile networks. However, most of these resources are heterogeneous and decentralized, they have different format. The resources are designed for humans to read and not understandable to the machine. Their low level sharing and reuse make them difficult to acquire. How to access the resources the users need quickly and efficiently and take advantage of them is a serious problem. In order to solve the problem, an ontology-based integration educational resources framework and sharing strategies are proposed. Using the advantages of ontological semantics these educational resources can be annotated semantically, so that the computer can understand and deal with the marked information. The ontology-based integration and sharing strategies can improve the recall and precision of the educational resources retrieval.
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