飞跃:通过语义网和关联数据实现藻类生物量生产的潜力

M. Solanki, J. Skarka, C. Chapman
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引用次数: 2

摘要

最近,藻类生物量已被确定为大规模生产生物燃料的潜在来源。政府、环境研究委员会和特殊利益集团正在资助几项研究该部门可再生能源生产机会的努力。然而,到目前为止,还没有系统的研究分析藻类生物量的潜力,特别是在西北欧。在本文中,我们提出了一个空间数据集成和分析框架,通过该框架,来自藻类生物量领域的丰富数据集,包括藻类操作地点和二氧化碳源地点等数据,在语义上丰富了专门为该领域设计的本体,并作为链接数据提供。然后,我们提出了GeoWeb服务的概念架构和原型实现,该服务提供了对链接数据集的查询和分析功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LEAPS: realising the potential of algal biomass production through semantic web and linked data
Recently algal biomass has been identified as a potential source of large scale production of biofuels. Governments, environmental research councils and special interests groups are funding several efforts that investigate renewable energy production opportunities in this sector. However so far there has been no systematic study that analyses algal biomass potential especially in North-Western Europe. In this paper we present a spatial data integration and analysis framework whereby rich datasets from the algal biomass domain that include data about algal operation sites and CO2 source sites amongst others are semantically enriched with ontologies specifically designed for the domain and made available as linked data. We then present a conceptual architecture and a prototype implementation of a GeoWeb service that provides querying and analysing capabilities over the linked datasets.
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