Ontology Design Patterns for Representing Knowledge in the Disaster Risk Domain
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Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
The success of disaster risk management efforts
depend on the ability of multiple stakeholders to share disasterrelated
information. Semantic integration of such heterogeneous
information requires ontology building. The top-down-approach
of ontology building has several disadvantages to knowledge
representation. To support the process of ontology engineering,
a bottom-up-approach that utilizes modular Ontology Design
Patterns (ODPs) with weak dependencies can be used to overcome
the disadvantages of the top-down-approach. To bridge the availability
gap of patterns for representing disaster knowledge, the
study identifies existing and emerging patterns that can be used to
organize disaster knowledge. Based on the eXtreme Design (XD)
methodology and key informant interviews, Competency Questions
(CQs) were listed from domain stakeholders. Consequently,
corresponding patterns covering the CQs were also identified
and developed. This study identifies emerging patterns such as
Event Type ODP for representing risky and hazardous events.
The QualityCausation ODP is also identified for representing
the causality nature of vulnerability. The resulting patterns are
aligned to the DOLCE1 foundational ontology and can be used
to organize data in the disaster domain.
Description
Keywords
Ontology Design Patterns, Vulnerability, Quality causation, Interoperability
Citation
Mazimwe, A., Hammouda, I., & Gidudu, A. (2019, June). Ontology design patterns for representing knowledge in the disaster risk domain. In 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) (pp. 283-288). IEEE. DOI 10.1109/WETICE.2019.00066