OPEN—Enabling Non-expert Users to Extract, Integrate, and Analyze Open Data

被引：0

作者：

Katrin Braunschweig

Julian Eberius

Maik Thiele

Wolfgang Lehner

机构：

[1] Braunschweig, Katrin

[2] Eberius, Julian

[3] Thiele, Maik

[4] Lehner, Wolfgang

来源：

Thiele, Maik (maik.thiele@tu-dresden.de) | 1600年 / Springer Medizin卷 / 12期

关键词：

Semantics;

D O I：

10.1007/s13222-012-0091-9

中图分类号：

学科分类号：

摘要：

Government initiatives for more transparency and participation have lead to an increasing amount of structured data on the web in recent years. Many of these datasets have great potential. For example, a situational analysis and meaningful visualization of the data can assist in pointing out social or economic issues and raising people’s awareness. Unfortunately, the ad-hoc analysis of this so-called Open Data can prove very complex and time-consuming, partly due to a lack of efficient system support.

引用

页码：121 / 130

页数：9

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