CRISP Knowledge Graph

About CRISP Project

The CRISP Knowlege Graph aims to establish the backbone of information integration for gathering Austrian infrastructure systems pertinent for crisis management. It offers a comprehensive and collective view of urban infrastructure, service networks, and diverse environmental indicators. CRISP KG is built on the foundation of three core elements: event of hazards, geographical regions, and infrastructure networks. These three elements are cornerstones of our crisis management framework and its functionality.

By connecting data on population, medical services, weather, transport, and utilities, CRISP KG gives users a way to understand how interconnected systems react to crisis and shock situations. The CRISP KG is currently undergoing active development; however, it is accessible through a SPARQL interface.

Some Statistics

6,375,118

Triples

Number of triples collected from different open data resources.

3,887

First Responders

Organizations involved in crisis management such as fire and police stations.

249,781

Observations

Observed values of properties associated with specific features of interest, such as communities or grid cells.

Resources

CRISP ingests data from multiple heterogeneous sources and creates a comprehensive and continuously updated data pool, which represents a key asset for semantic modeling and impact forecasting.

Hospitals

The list of hospitals in Austria is provided by the Federal Ministry for Social Affairs, Health, Care and Consumer Protection. It includes detailed contact information as well as statistical data on the capacity and services offered by hospitals.

Sample Hospital

Fire Stations

The list of fire stations currently includes the fire stations in Upper Austria. This list is contributed by the Fire Brigade Association of Upper Austria and includes the locations and contact details of the fire stations.

Sample Fire Station

Missions

Missions are fire brigade operations in Upper Austria, providing information on mission categories, alarm levels, and location details.

Sample Mission

Incidents

Incidents refer to severe weather events provided by the Austrian Weather Service (GeoSphere) through the VIOLA (Violent Observed Local Assessment) dataset.

Sample Incident

Grid Cells

Grid cells are one square kilometer cells defined by the Austrian Central Institute for Meteorology and Geodynamics. All resources and network components in CRISP are mapped to these Grid Cells.

Sample Grid Cell

Namespaces

The CRISP Knowledge Graph uses the follwoing namespaces.

Prefix	Namespace IRI
	http://crisp.ai.wu.ac.at/crisp/
crisp	http://crisp.ai.wu.ac.at/crisp/
oesg	http://crisp.ai.wu.ac.at/crisp/oesg/
owl	http://www.w3.org/2002/07/owl#
rdf	http://www.w3.org/1999/02/22-rdf-syntax-ns#
xml	http://www.w3.org/XML/1998/namespace
xsd	http://www.w3.org/2001/XMLSchema#
rdfs	http://www.w3.org/2000/01/rdf-schema#
geo	http://www.opengis.net/ont/geosparql#
wgs	https://www.w3.org/2003/01/geo/wgs84_pos#
sf	http://www.opengis.net/ont/sf#
vcard	http://www.w3.org/2006/vcard/ns#
sosa	http://www.w3.org/ns/sosa/

Sample Queries

Try these SPARQL queries on CRISP Knowledge Graph.

Query	Description
Run	Weekly heat days of a given community based on GeoSphere data
Run	Communication towers of a given community based on OpenStreetMaps data
Run	Infrastructure features within a given grid cell

Publications

Schuster, H., Anjomshoaa, A. & Polleres, A., (2024). Building Incident-Centric Knowledge Graphs: Enhancing Crisis Management with Data-Driven Insights. In Proceedings of the International Workshop on Dynamics of Disasters: Hybrid Threats (ARES DOD 2024).
Schuster, H., Polleres, A., Anjomshoaa, A., & Wachs, J. (2024). Heat, Health, and Habitats: Analyzing the Intersecting Risks of Climate and Demographic Shifts in Austrian Districts. [Preprint] [Visualization]
Schuster, H., Polleres, A., & Wachs, J. (2024). Stress-testing Road Networks and Access to Medical Care. Transportation Research Part A: Policy and Practice, 181. [Paper]
Anjomshoaa, Amin; Schuster, Hannah; Wachs, Johannes; Polleres, Axel (2023). From Data to Insights: Constructing Spatiotemporal Knowledge Graphs for City Resilience Use Cases. D2R2’23: 2nd International Workshop on Linked Data-driven Resilience Research 2023, ESWC2023. [Paper]
Anjomshoaa, Amin, Schuster, Hannah, Wachs, JOhannes, & Polleres, Axel (2023). Towards Crisis Response and Intervention Using Knowledge Graphs-CRISP Case Study. In International Conference on Advanced Information Systems Engineering (pp. 67-73). Cham: Springer International Publishing.
Schuster, H., Wachs, J., & Polleres, A. (2022). Municipality Access to Hospitals via Road Networks. In Konferenzband der Disaster Research Days 2022, 53-58. ISBN 978-3-900397-04-3.

Welcome to CRISP Knowledge Graph!