People, Projects, Organizations, and Products: Designing a Knowledge Graph to Support Multi-Stakeholder Environmental Planning and Design
People, Projects, Organizations, and Products: Designing a Knowledge Graph to Support Multi-Stakeholder Environmental Planning and Design
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DOI：
10.3390/ijgi10120823
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发表时间：
2021-12
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影响因子：
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通讯作者：
S. Gordon;Philip J. Murphy;J. Gallo;P. Huber;A. Hollander;Ann Edwards;P. Jankowski
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作者：
S. Gordon;Philip J. Murphy;J. Gallo;P. Huber;A. Hollander;Ann Edwards;P. Jankowski
随着人们日益认识到需要更广泛地解决环境问题，传统的等级制、政府领导的协调模式正在得到更多协作性组织间网络的补充，或转变为更具协作性的组织间网络（即，合作、联盟、伙伴关系）。作为分散的网络，这种区域环境规划和设计（REPD）的努力往往面临着共享和使用空间和其他类型的信息的挑战。语义知识管理技术的最新进展，如知识图，有可能解决这些挑战。在本文中，我们首先描述了在美国西部的三个多利益相关者REPD倡议的信息需求，使用80个需要知道的问题和关注的列表。最需要的是帮助追踪参与者、机构和与REDP重点有关的信息产品。为了满足这些需求，我们开发了一个基于RDF和GeoSPARQL标准的原型知识图。这种语义方法提供了比传统关系数据库更灵活的数据结构，以及跨不同提供商查询信息的功能;然而，缺乏语义数据专业知识，现有软件解决方案的复杂性以及有限的在线托管选项是采用的重大障碍。这些障碍对地理空间数据来说更为严重，因为地理空间数据还面临着维护和同步语义和传统地理空间数据存储的额外挑战。
As the need for more broad-scale solutions to environmental problems is increasingly recognized, traditional hierarchical, government-led models of coordination are being supplemented by or transformed into more collaborative inter-organizational networks (i.e., collaboratives, coalitions, partnerships). As diffuse networks, such regional environmental planning and design (REPD) efforts often face challenges in sharing and using spatial and other types of information. Recent advances in semantic knowledge management technologies, such as knowledge graphs, have the potential to address these challenges. In this paper, we first describe the information needs of three multi-stakeholder REPD initiatives in the western USA using a list of 80 need-to-know questions and concerns. The top needs expressed were for help in tracking the participants, institutions, and information products relevant to the REDP’s focus. To address these needs, we developed a prototype knowledge graph based on RDF and GeoSPARQL standards. This semantic approach provided a more flexible data structure than traditional relational databases and also functionality to query information across different providers; however, the lack of semantic data expertise, the complexity of existing software solutions, and limited online hosting options are significant barriers to adoption. These same barriers are more acute for geospatial data, which also faces the added challenge of maintaining and synchronizing both semantic and traditional geospatial datastores.