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  • 标题:shareOGD: An Approach for Integrating Semantic Information in Open Government Data
  • 本地全文:下载
  • 作者:Johannes SCHOLZ ; Roland GRILLMAYER ; Manfred MITTLBÖCK
  • 期刊名称:GI_FORUM - Journal for Geographic Information Science
  • 电子版ISSN:2308-1708
  • 出版年度:2013
  • 页码:25-28
  • DOI:10.1553/giscience2013s25
  • 出版社:ÖAW Verlag, Wien
  • 摘要:Open Government Data are data that are published in digital format by administrative bodies.The Open Government Data Guidelines should cover how data have to be published tofulfil the requirements of the linked open data approach. The idea of open linked data is thatresources published on the Internet can be interlinked and this combination leads to new informationby utilizing semantic web technologies (BIZER et al. 2009). One essential premiseto cover linked open data requirements is that the semantics of the data must be publishedin order to define the meaning of the objects of events represented by the data. At the momentthese requirements are not covered within the existing Open Government Data guidelines.Hence, Open Government Data are published in a digital format but they do not followa certain data specification, nor share a semantic model. Hence, the published data ofvarious administrative bodies can hardly be compared, due to the lack of a standardizeddata model and missing semantic description. This paper attempts to list current shortcomingsof Open Governmental Data and presents data modelling and presentation concepts forOpen Governmental Data in order to follow linked data rules (BERNERS-LEE 2006).
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