TY - JOUR
T1 - The Expertise Ontology: Modeling Expertise in the Context of Emergency Management
T2 - Joint Ontology Workshops 2023, Episode IX: The Quebec Summer of Ontology, JOWO 2023
AU - Stephen, Shirly
AU - Schildhauer, Mark
AU - Cai, Ling
AU - Tian, Yuanyuan
AU - Currier, Kitty
AU - Shimizu, Cogan
AU - Janowicz, Krzysztof
AU - Hitzler, Pascal
AU - Lopez-Carr, Anna
AU - Schroeder, Andrew
AU - Liu, Zilong
AU - Zhu, Rui
AU - Rehberger, Dean
AU - Fisher, Colby K.
AU - Mai, Gengchen
N1 - Publisher Copyright:
© 2023 Copyright for this paper by its authors.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - emergency management
KW - expertise modeling
KW - knowledge graphs
KW - ontologies
KW - semantic web
UR - https://corescholar.libraries.wright.edu/cse/716
UR - https://www.scopus.com/pages/publications/85185198389
UR - https://www.scopus.com/pages/publications/85185198389#tab=citedBy
M3 - Conference article
AN - SCOPUS:85185198389
SN - 1613-0073
VL - 3637
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
Y2 - 19 July 2023 through 20 July 2023
ER -