KnowWhereGraph-Lite: A Perspective of the KnowWhereGraph
- Autor(en)
- Cogan Shimizu, Shirly Stephen, Antrea Christou, Kitty Currier, Mohammad Saeid, Sanaz Saki Norouzi, Abhilekha Dalal, Adrita Barua, Colby K. Fisher, Anthony D'Onofrio, Krzysztof Janowicz, Thomas Thelen, Dean Rehberger, Mark Schildhauer, Pascal Hitzler
- Abstrakt
KnowWhereGraph (KWG) is a massive, geo-enabled knowledge graph with a rich and expressive schema. KWG comes with many benefits including helping to capture detailed context of the data. However, the full KWG can be commensurately difficult to navigate and visualize for certain use cases, and its size can impact query performance and complexity. In this paper, we introduce a simplified framework for discussing and constructing perspectives of knowledge graphs or ontologies to, in turn, construct simpler versions; describe our exemplar KnowWhereGraph-Lite (KWG-Lite), which is a perspective of the KnowWhereGraph; and introduce an interface for navigating and visualizing entities within KWG-Lite called KnowWherePanel.
- Organisation(en)
- Institut für Geographie und Regionalforschung
- Externe Organisation(en)
- Wright State University, Hydronos Labs, Michigan State University, Kansas State University, Unknown External Organisation Unbekannt/undefiniert, National Center for Ecological Analysis and Synthesis, University of California, Santa Barbara
- Seiten
- 199–212
- Anzahl der Seiten
- 14
- DOI
- https://doi.org/10.1007/978-3-031-47745-4_15
- Publikationsdatum
- 2023
- Peer-reviewed
- Ja
- ÖFOS 2012
- 105403 Geoinformatik, 102001 Artificial Intelligence
- ASJC Scopus Sachgebiete
- Theoretical Computer Science, Allgemeine Computerwissenschaft
- Link zum Portal
- https://ucrisportal.univie.ac.at/de/publications/aa910cc4-a61e-48f6-9b33-e9b83a9fcac0