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首页> 外文期刊>International Journal of Spatial Data Infrastructures Research >A multilingual/multicultural semantic-based approach to improve Data Sharing in a SDI for Nature Conservation
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A multilingual/multicultural semantic-based approach to improve Data Sharing in a SDI for Nature Conservation

机译:基于多语言/多元文化语义的方法,可改善SDI中自然保护的数据共享

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The paper proposes an approach to transcend multicultural and multilingual barriers in the use and reuse of geographical data at the European level. The approach aims at sharing scientific terms in the field of nature conservation with the goal of assisting different user communities with metadata compilation and information discovery. A multi-thesauri solution is proposed, based on a Common Thesaurus Framework for Nature Conservation, where different well-known Knowledge Organization Systems are assembled and shared. It has been designed according to semantic web and W3C recommendations employing SKOS standard models and Linked Data to publish the thesauri as a whole in machine-understandable format. The outcome is a powerful framework satisfying the requirements of modularity and openness for further thesaurus extension and updating, interlinking among thesauri, and exploitability from other systems. The paper supports the employment of Linked Data to deal with terminologies in complex domains such as nature conservation and it proposes a hands-on recipe to publish thesauri in the framework.
机译:本文提出了一种在欧洲范围内克服使用和重用地理数据的多文化和多语言障碍的方法。该方法旨在共享自然保护领域的科学术语,以通过元数据汇编和信息发现来协助不同的用户社区。提出了一种基于自然保护的通用词库框架的多词库解决方案,其中汇集并共享了不同的知名知识组织系统。它是根据语义网和W3C建议设计的,采用SKOS标准模型和链接数据,以机器可理解的格式整体发布词库。结果是一个功能强大的框架,可以满足模块化和开放性的要求,以进一步扩展同义词库并进行更新,叙词库之间的互连以及可从其他系统进行利用。本文支持使用链接数据来处理诸如自然保护等复杂领域的术语,并提出了动手实践,以在框架中发布叙词表。

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