People, Projects, Organizations, and Products: Designing a Knowledge Graph to Support Multi-Stakeholder Environmental Planning and Design

• Published in: ISPRS international journal of geo-information Vol. 10; no. 12; p. 823
• Main Authors: Gordon, Sean N., Murphy, Philip J., Gallo, John A., Huber, Patrick, Hollander, Allan, Edwards, Ann, Jankowski, Piotr
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.12.2021
• Subjects: Biodiversity; Case studies; Collaboration; Councils; Data structures; Decision making; decision support software; Design; Environmental impact; Environmental planning; Government agencies; Graphs; human–environment systems; information needs assessment; Internet; Knowledge management; Knowledge representation; Ontology; open systems; Planning; Prototypes; Regional planning; Relational data bases; Semantic web; Semantics; Spatial data; Synchronism; Tracking; Water quality; United States > US; Puget Sound
• ISSN: 2220-9964; 2220-9964
• DOI: 10.3390/ijgi10120823

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.