The Expertise Ontology: Modeling Expertise in the Context of Emergency Management

Shirly Stephen*, Mark Schildhauer, Ling Cai, Yuanyuan Tian, Kitty Currier, Cogan Shimizu, Krzysztof Janowicz, Pascal Hitzler, Anna Lopez-Carr, Andrew Schroeder, Zilong Liu, Rui Zhu, Dean Rehberger, Colby K. Fisher, Gengchen Mai

*Corresponding author for this work

Research output: Contribution to conferenceConference Paperpeer-review

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 languageEnglish
Publication statusPublished - 2023
EventJoint Ontology Workshops 2023, Episode IX: The Quebec Summer of Ontology, JOWO 2023 - Sherbrooke, Canada
Duration: 19 Jul 202320 Jul 2023

Conference

ConferenceJoint Ontology Workshops 2023, Episode IX: The Quebec Summer of Ontology, JOWO 2023
Country/TerritoryCanada
CitySherbrooke
Period19/07/2320/07/23

Bibliographical note

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© 2023 Copyright for this paper by its authors.

Keywords

  • emergency management
  • expertise modeling
  • knowledge graphs
  • ontologies
  • semantic web

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