Linked Data - A Paradigm Shift for Geographic Information Science
Linked Data - A Paradigm Shift for Geographic Information Science
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DOI：
10.1007/978-3-319-11593-1_12
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发表时间：
2014-09
期刊：
影响因子：
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通讯作者：
W. Kuhn;Tomi Kauppinen;K. Janowicz
中科院分区：
文献类型：
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作者：
W. Kuhn;Tomi Kauppinen;K. Janowicz
关联数据范式在空间信息的研究和实践中取得了重大进展，现在是时候思考这对GIScience意味着什么了。从技术上讲，关联数据只是最简单的数据模型（三元组）中的数据，允许使用受控语义在Web上的任何地方链接记录或数据集。从概念上讲，关联数据提供了全新的思考、结构化、发布、发现、访问和集成数据的方式。它对地理数据的生产者和用户来说特别新奇和有价值，因为人们通常认为这些数据需要更复杂的数据模型。本文解释了关联数据带来的主要创新，并举例说明。它的结论是，许多长期存在的问题，在地理信息系统科学已经变得平易近人的新方法，而新的和更具体的研究挑战出现。
The Linked Data paradigm has made significant inroads into research and practice around spatial information and it is time to reflect on what this means for GIScience. Technically, Linked Data is just data in the simplest possible data model (that of triples), allowing for linking records or data sets anywhere across the web using controlled semantics. Conceptually, Linked Data offers radically new ways of thinking about, structuring, publishing, discovering, accessing, and integrating data. It is of particular novelty and value to the producers and users of geographic data, as these are commonly thought to require more complex data models. The paper explains the main innovations brought about by Linked Data and demonstrates them with examples. It concludes that many longstanding problems in GIScience have become approachable in novel ways, while new and more specific research challenges emerge.