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

Research output: Contribution to journalConference articlepeer-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
JournalCEUR Workshop Proceedings
Volume3637
StatePublished - 2023
EventJoint Ontology Workshops 2023, Episode IX: The Quebec Summer of Ontology, JOWO 2023 - Sherbrooke, Canada
Duration: Jul 19 2023Jul 20 2023

ASJC Scopus Subject Areas

  • General Computer Science

Keywords

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

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