Knowledge Management in the Development of an Intelligent System to Support Emergency Response

Anacleto Correia, Inês Severino, Isabel L. Nunes, Mário Simões-Marques

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Intelligent systems use applied artificial intelligence techniques with the aim of reaching, in a specific domain, a level of analysis and performance comparable to human experts. Intelligent systems are able to engage in complex inference processes, necessary for evaluating alternative options, presenting high quality conclusions and advice, and to offer explanations about the rationale that led to such conclusions. Knowledge Management is a key process associated to the development of intelligent systems, since it elicits, codifies, validates and relates the knowledge elements that are stored in the system’s Knowledge Base. The paper focus on the issues involved in the design of the THEMIS intelligent system’s Knowledge Base, and of the cooperative and participatory processes applied for knowledge elicitation, referring the usage of ontologies and UML use-cases. THEMIS project purpose is to develop an intelligent system to support complex and stressful Emergency Management activities. The outcome of the described Knowledge Management process can be determinant to quality of the user experience when exploiting the system, since most of the pragmatic and hedonic qualities of the interactions of an intelligent system are closely related with the characteristics of the underlying knowledge base and inferencing process.

Original languageEnglish
Title of host publicationAdvances in Human Factors and Systems Interaction - Proceedings of the AHFE 2017 International Conference on Human Factors and Systems Interaction, 2017
PublisherSpringer Verlag
Pages109-120
Number of pages12
Volume592
ISBN (Print)9783319603650
DOIs
Publication statusPublished - 1 Jan 2018
EventAHFE 2017 International Conference on Human Factors and Systems Interaction, 2017 - [state] CA, United States
Duration: 17 Jul 201721 Jul 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume592
ISSN (Print)2194-5357

Conference

ConferenceAHFE 2017 International Conference on Human Factors and Systems Interaction, 2017
CountryUnited States
City[state] CA
Period17/07/1721/07/17

Fingerprint

Intelligent systems
Knowledge management
Knowledge acquisition
Artificial intelligence
Ontology

Keywords

  • Knowledge acquisition
  • Ontologies
  • THEMIS
  • UML

Cite this

Correia, A., Severino, I., Nunes, I. L., & Simões-Marques, M. (2018). Knowledge Management in the Development of an Intelligent System to Support Emergency Response. In Advances in Human Factors and Systems Interaction - Proceedings of the AHFE 2017 International Conference on Human Factors and Systems Interaction, 2017 (Vol. 592, pp. 109-120). (Advances in Intelligent Systems and Computing; Vol. 592). Springer Verlag. https://doi.org/10.1007/978-3-319-60366-7_11
Correia, Anacleto ; Severino, Inês ; Nunes, Isabel L. ; Simões-Marques, Mário. / Knowledge Management in the Development of an Intelligent System to Support Emergency Response. Advances in Human Factors and Systems Interaction - Proceedings of the AHFE 2017 International Conference on Human Factors and Systems Interaction, 2017. Vol. 592 Springer Verlag, 2018. pp. 109-120 (Advances in Intelligent Systems and Computing).
@inproceedings{423a6b97eebf4a4c9e16eb22cb459b1e,
title = "Knowledge Management in the Development of an Intelligent System to Support Emergency Response",
abstract = "Intelligent systems use applied artificial intelligence techniques with the aim of reaching, in a specific domain, a level of analysis and performance comparable to human experts. Intelligent systems are able to engage in complex inference processes, necessary for evaluating alternative options, presenting high quality conclusions and advice, and to offer explanations about the rationale that led to such conclusions. Knowledge Management is a key process associated to the development of intelligent systems, since it elicits, codifies, validates and relates the knowledge elements that are stored in the system’s Knowledge Base. The paper focus on the issues involved in the design of the THEMIS intelligent system’s Knowledge Base, and of the cooperative and participatory processes applied for knowledge elicitation, referring the usage of ontologies and UML use-cases. THEMIS project purpose is to develop an intelligent system to support complex and stressful Emergency Management activities. The outcome of the described Knowledge Management process can be determinant to quality of the user experience when exploiting the system, since most of the pragmatic and hedonic qualities of the interactions of an intelligent system are closely related with the characteristics of the underlying knowledge base and inferencing process.",
keywords = "Knowledge acquisition, Ontologies, THEMIS, UML",
author = "Anacleto Correia and In{\^e}s Severino and Nunes, {Isabel L.} and M{\'a}rio Sim{\~o}es-Marques",
note = "Sem pdf. Portuguese Ministry of Defense and by the Portuguese Navy.",
year = "2018",
month = "1",
day = "1",
doi = "10.1007/978-3-319-60366-7_11",
language = "English",
isbn = "9783319603650",
volume = "592",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "109--120",
booktitle = "Advances in Human Factors and Systems Interaction - Proceedings of the AHFE 2017 International Conference on Human Factors and Systems Interaction, 2017",
address = "Germany",

}

Correia, A, Severino, I, Nunes, IL & Simões-Marques, M 2018, Knowledge Management in the Development of an Intelligent System to Support Emergency Response. in Advances in Human Factors and Systems Interaction - Proceedings of the AHFE 2017 International Conference on Human Factors and Systems Interaction, 2017. vol. 592, Advances in Intelligent Systems and Computing, vol. 592, Springer Verlag, pp. 109-120, AHFE 2017 International Conference on Human Factors and Systems Interaction, 2017, [state] CA, United States, 17/07/17. https://doi.org/10.1007/978-3-319-60366-7_11

Knowledge Management in the Development of an Intelligent System to Support Emergency Response. / Correia, Anacleto; Severino, Inês; Nunes, Isabel L.; Simões-Marques, Mário.

Advances in Human Factors and Systems Interaction - Proceedings of the AHFE 2017 International Conference on Human Factors and Systems Interaction, 2017. Vol. 592 Springer Verlag, 2018. p. 109-120 (Advances in Intelligent Systems and Computing; Vol. 592).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Knowledge Management in the Development of an Intelligent System to Support Emergency Response

AU - Correia, Anacleto

AU - Severino, Inês

AU - Nunes, Isabel L.

AU - Simões-Marques, Mário

N1 - Sem pdf. Portuguese Ministry of Defense and by the Portuguese Navy.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Intelligent systems use applied artificial intelligence techniques with the aim of reaching, in a specific domain, a level of analysis and performance comparable to human experts. Intelligent systems are able to engage in complex inference processes, necessary for evaluating alternative options, presenting high quality conclusions and advice, and to offer explanations about the rationale that led to such conclusions. Knowledge Management is a key process associated to the development of intelligent systems, since it elicits, codifies, validates and relates the knowledge elements that are stored in the system’s Knowledge Base. The paper focus on the issues involved in the design of the THEMIS intelligent system’s Knowledge Base, and of the cooperative and participatory processes applied for knowledge elicitation, referring the usage of ontologies and UML use-cases. THEMIS project purpose is to develop an intelligent system to support complex and stressful Emergency Management activities. The outcome of the described Knowledge Management process can be determinant to quality of the user experience when exploiting the system, since most of the pragmatic and hedonic qualities of the interactions of an intelligent system are closely related with the characteristics of the underlying knowledge base and inferencing process.

AB - Intelligent systems use applied artificial intelligence techniques with the aim of reaching, in a specific domain, a level of analysis and performance comparable to human experts. Intelligent systems are able to engage in complex inference processes, necessary for evaluating alternative options, presenting high quality conclusions and advice, and to offer explanations about the rationale that led to such conclusions. Knowledge Management is a key process associated to the development of intelligent systems, since it elicits, codifies, validates and relates the knowledge elements that are stored in the system’s Knowledge Base. The paper focus on the issues involved in the design of the THEMIS intelligent system’s Knowledge Base, and of the cooperative and participatory processes applied for knowledge elicitation, referring the usage of ontologies and UML use-cases. THEMIS project purpose is to develop an intelligent system to support complex and stressful Emergency Management activities. The outcome of the described Knowledge Management process can be determinant to quality of the user experience when exploiting the system, since most of the pragmatic and hedonic qualities of the interactions of an intelligent system are closely related with the characteristics of the underlying knowledge base and inferencing process.

KW - Knowledge acquisition

KW - Ontologies

KW - THEMIS

KW - UML

UR - http://www.scopus.com/inward/record.url?scp=85041096612&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-60366-7_11

DO - 10.1007/978-3-319-60366-7_11

M3 - Conference contribution

SN - 9783319603650

VL - 592

T3 - Advances in Intelligent Systems and Computing

SP - 109

EP - 120

BT - Advances in Human Factors and Systems Interaction - Proceedings of the AHFE 2017 International Conference on Human Factors and Systems Interaction, 2017

PB - Springer Verlag

ER -

Correia A, Severino I, Nunes IL, Simões-Marques M. Knowledge Management in the Development of an Intelligent System to Support Emergency Response. In Advances in Human Factors and Systems Interaction - Proceedings of the AHFE 2017 International Conference on Human Factors and Systems Interaction, 2017. Vol. 592. Springer Verlag. 2018. p. 109-120. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-60366-7_11