Abstract
It is crucial for emergency management organizations to have rapid access to relevant experts who can advise and assist following a disaster. To improve expert-mining and recommendation capabilities, creating a knowledge graph that links experts to their corresponding topics of expertise and other sources of relevant information is a natural choice to capture an integrated network of people and a rich taxonomy of expertise. In this paper, we present an ontology for modeling experts, their expertise topics and relations between them, and their spatiotemporal scoping. We go on to discuss the primary conceptual components and how they can be instantiated, then present overarching examples related to emergency management operations. The ontology synthesizes three different ways to characterize an expert, based on a) identifiable academic expertise; b) voluntary engagements, work-related responsibilities or experience; and c) organization specializations or affiliations.
Original language | English |
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Publication status | Published - 2023 |
Event | Joint Ontology Workshops 2023, Episode IX: The Quebec Summer of Ontology, JOWO 2023 - Sherbrooke, Canada Duration: 19 Jul 2023 → 20 Jul 2023 |
Conference
Conference | Joint Ontology Workshops 2023, Episode IX: The Quebec Summer of Ontology, JOWO 2023 |
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Country/Territory | Canada |
City | Sherbrooke |
Period | 19/07/23 → 20/07/23 |
Bibliographical note
Publisher Copyright:© 2023 Copyright for this paper by its authors.
Keywords
- emergency management
- expertise modeling
- knowledge graphs
- ontologies
- semantic web