Contribution to a conference proceedings/Contribution to a book

FZJ-2025-04509

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png From Risk Storylines to a Risk-Driven Ontology of Urban Systems

Griffo, C. ; Calderon, L. ; Pittore, M. ; Shepherd, T.FZJ*

2025
SCITEPRESS - Science and Technology Publications

This record in other databases:  

Please use a persistent id in citations: doi:10.5220/0013669100004000

Abstract: Ontological models empower stakeholders to establish shared ontological commitments for achieving objectives,including (1) fostering domain-specific understanding; (2) formalizing communication between stakeholdersand modelers; and (3) enabling knowledge inference through formal rule-based systems. A significantchallenge arises as conceptual modeling transitions from single-organizational contexts to heterogeneous,multi-perspective environments, raising questions about how quasi-universal conceptualizations can ensuredata interoperability. To address this, we propose storylines to integrate diverse perspectives across past andfuture scenario narratives. This study applies risk-oriented storylines and ontologies through a middle-out approach,synthesizing top-down and bottom-up strategies, in the ontology engineering of urban systems at risk.The results demonstrate that storylines effectively surface domain-specific terminology among stakeholdersbut exhibit limitations in capturing abstract, generic concepts and relationships. Conversely, the top-down approach(guided by competency questions, literature, and interviews) revealed imperceptible abstract conceptsthat storylines overlooked, while missing specialized terms identified through narrative methods. These resultshighlight the complementary value of hybrid methodological frameworks: the middle-out approach mitigatesblind spots inherent to purely top-down or bottom-up strategies, enabling more robust ontology developmentin complex, multi-stakeholder environments. This work advances pragmatic methodologies for interoperableontology design in urban systems, with implications for risk management and urban resilience planning.

---

Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)

Appears in the scientific report 2025

---