Development of Information Quality Aware Ontology for the Improvement of Situational Awareness in the Emergency Management Domain
DOI:
https://doi.org/10.5007/1518-2924.2018v23n53p182Keywords:
Ontologies, Situational Awareness, Data and Information Quality, Emergency ManagementAbstract
One of the challenges approached by the community of emergency situation assessment and management is to determine a process of informational analysis to assist operators in developing Situational Awareness (SAW). Due to the complexity in data and uncertainty in its quality, besides the dynamicity in monitored environments, operators are susceptible to errors in their SAW, decreasing the chance of an assertive decision-making. In this context, correctly representing information about the situation, while they are gathered and processed, will contribute to better orient operators and systems regarding the ongoing situation. To this end, the goal of this paper is to contribute to the production of enhanced inputs in the situation assessment of forest fires for the DFWithoutFire project. More specifically, this paper presents the development of an ontology that aggregates information on data quality, promoting an improved representation of data about fires. A study case of a forest fire emergency response is showed to demonstrate the applicability of the ontology with the quality management. Results present a semantic representation model that is capable of receiving instances extracted from human intelligence data that originated from crowdsourcing and evaluated quantitatively on aspects of data quality.
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Copyright (c) 2018 Jordana Nogueira Silva, Állan César Moreira de Oliveira, Lucas Zanco Ladeira, Maria de Fátima Tavares, Leonardo castro Botega, Valdir Amâncio Pereira junior, Gustavo Marttos Carceres Pereira
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