Time Analysis Model in Semantic Context of Emergency Management
DOI:
https://doi.org/10.18225/ci.inf.v49i3.5506Keywords:
Information Quality, Ontology, Emergency Management, Information RetrievalAbstract
In the context of emergency management, where information comes from heterogeneous, complex and dynamic sources, decision making is required to be assertive and within a timely interval of time. Time has great relevance, being fundamental in the domain of this context, because it is creating a timeline, that is to say during it, the perception and comprehension of all the characteristics of a situation becomes viable. The quality of information becomes indispensable in the context of emergency management, mainly by dynamic and complex factors. This work aims to improve the informational processes of information retrieval through the creation of a model of temporal analysis in the semantic context. The nature of this work is qualitative, of theoretical-applied purpose and exploratory, and its methodology involving fire emergency situations, in which it was possible to evaluate the behavior of information quality and infer new temporal knowledge that may serve as inputs for making more assertive decisions.
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References
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BOTEGA, Leonardo Castro. Modelo de fusão dirigido por humanos e ciente de qualidade de informação. 247 p. Tese (Doutorado) - UFSCar - Universidade Federal de São Carlos, 2016.
BOTEGA, Leonardo Castro et al. Methodology for data and information quality assessment in the context of emergency situational awareness. Universal Access in the Information Society, v. 16, n. 4, p. 889-902, 2017.
BOTEGA, Leonardo Castro et al. Quantify: An Information Fusion Model Based on Syntactic and Semantic Analysis and Quality Assessments to Enhance Situation Awareness. In: Information Quality in Information Fusion and Decision Making. Springer, Cham, p. 563-586, 2019.
BUCKLAND, Michael K. Information as thing. Journal of the American Society for information science, v. 42, n. 5, p. 351-360, 1991.
CALAZANS, Angélica Toffano Seidel. Qualidade da informação: conceitos e aplicações. TransInformação, v. 20, n. 1, p. 29-45, 2008.
ENDSLEY, Mica R. Designing for situation awareness: An approach to user-centered design. CRC press, 2016.
GÓMEZ-PÉREZ, Asunción; BENJAMINS; Richard. Overview of knowledge sharing and reuse components: Ontologies and problem-solving methods. In: IJCAI and the Scandinavian AI Societies. CEUR Workshop Proceedings. 1999.
HASANUZZAMAN, Mohammed et al. Propagation strategies for building temporal ontologies. In: Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, p. 6-11, 2014.
KOKAR, Mieczyslaw M.; ENDSLEY, Mica R. Situation awareness and cognitive modeling. IEEE Intelligent Systems, v. 27, n. 3, p. 91-96, 2012.
LIU, Liping; CHI, Lauren. Evolutional Data Quality: A Theory-Specific View. In: ICIQ. p. 292-304, 2002.
MATHEUS, Christopher J.; KOKAR, Mieczyslaw M.; BACLAWSKI, Kenneth. A core ontology for situation awareness. In: Proceedings of the Sixth International Conference on Information Fusion. p. 545-552, 2003.
MELO, Jessica O. de S. F.; BOTEGA, Leonardo Castro; SANTARÉM SEGUNDO, José Eduardo. Metodologia de avaliação de qualidade para dados conectados. In: XVIII Encontro Nacional de Pesquisa em Ciência da Informação (XVIII ENANCIB). 2017.
NEHMY, Rosa Maria Quadros; PAIM, Isis. A desconstrução do conceito de “qualidade da informação". Ciência da Informação, v. 27, n. 1, p. 36-45, 1998.
OKEYO, George; CHEN, Liming; WANG, Hui. Combining ontological and temporal formalisms for composite activity modelling and recognition in smart homes. Future Generation Computer Systems, v. 39, p. 29-43, 2014.
OLETO, Ronaldo Ronan. Percepção da qualidade da informação. Ciência da informação, v. 35, n. 1, 2006.
OLIVEIRA, Allan C. M. et al. Crowdsourcing, data and information fusion and situation awareness for emergency management of forest fires: the project DF100Fogo (FDWithoutFire). Computers, Environment and Urban Systems, 2017.
OLSON, Jack E. Data quality: the accuracy dimension. Elsevier, 2003.
PAZ-TRILLO, Christian; WASSERMANN, Renata; BRAGA, Paula P. An information retrieval application using ontologies. Journal of the Brazilian Computer Society, v. 11, n. 2, p. 17-31, 2005.
PEREIRA JUNIOR, Valdir Amancio; PEREIRA, Gustavo Marttos Cáceres; BOTEGA, Leonardo Castro. Towards a Process for Criminal Semantic Information Fusion to Obtain Situational Projections. In: The Human Position in an Artificial World: Creativity, Ethics and AI in Knowledge Organization. Ergon-Verlag, 2019. p. 51-72.
SARACEVIC, Tefko. Ciência da informação: origem, evolução e relações. Perspectivas em ciência da informação, v. 1, n. 1, 1996.
SILVA, Jordana Nogueira et al. Desenvolvimento de ontologia ciente de qualidade de informações para o domínio de gerenciamento de emergências. Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação, Florianópolis, v. 23, n. 53, p. 184-200, 2018.
TAO, Cui et al. CNTRO: a semantic web ontology for temporal relation inferencing in clinical narratives. In: AMIA annual symposium proceedings. American Medical Informatics Association. p. 787, 2010.
TAO, Cui; SOLBRIG, Harold R.; CHUTE, Christopher G. CNTRO 2.0: a harmonized semantic web ontology for temporal relation inferencing in clinical narratives. AMIA summits on translational science proceedings, v. 2011, p. 64, 2011.
WIEGAND, Nancy; GARCÍA, Cassandra. A task‐based ontology approach to automate geospatial data retrieval. Transactions in GIS, v. 11, n. 3, p. 355-376, 2007.
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26/11/2020
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