首页> 外文会议>International Conference on Conceptual Structures >Conceptual Structures for STEM Data: Linked, Open, Rich and Personal
【24h】

Conceptual Structures for STEM Data: Linked, Open, Rich and Personal

机译:词干数据的概念结构:挂钩,开放,丰富和个人

获取原文

摘要

Linked and open data is increasing being used by governments, business and administration. Awareness of the affordances and potential utility of open data is being raised by the emergence of a host of web-based and mobile applications. Across the educational and research communities applications applying the principles linked data principles have emerged. Systems developed and used by researchers and academics are most likely to be predominantly in the hands of the early adopters and current developments found in higher education tend to be atomized, yet there is potentially considerable advantage in associating and integrating applications for organisational, educational and administrative. This paper presents an argument for how we can move from early adopters to early majority, and at the same time presents a roadmap which will outline some of the significant challenges which remain to be addressed.
机译:政府,业务和管理使用链接和开放数据正在增加。通过出现了一系列基于Web和移动应用程序的出现,提出了对开放数据的承受和潜在效用的认识。跨越了应用原则的教育和研究社区申请已出现了联系数据原则。由研究人员和学术界开发和使用的系统最有可能掌握在早期采用者的手中,并且在高等教育中发现的目前发育往往会被雾化,但在联合和整合组织,教育和行政申请方面存在潜在的相当优势。 。本文介绍了如何从早期采用者迁移到大多数人的争论,同时呈现了一条路线图,该路线图将概述一些仍有待解决的挑战。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号