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Towards Semantic Fusion Using Information Quality Awareness to Support Emergency Situation Assessment

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 444))

Abstract

Information Fusion is the integration of synergic information to support high-level decision-making. Emergency management systems are applications that may take advantage of such integration by supporting system’s operators on developing situation awareness (SAW) and dealing with the critical and dynamic nature of real emergency scenarios. Semantic models help to describe and to determine synergy among entities that may be useful for fusion and situation assessment routines (SA). In this context, the awareness of information quality issues can enrich even more the knowledge that humans and system hold about situations. The objective of this paper is to present advances towards a new semantic fusion approach supported by information quality inferences and semantic web concepts to improve the assessments about emergency situations and hence supporting situation awareness. A previous fusion approach based on a syntactic integration with quality indexes is used to illustrate the improvements on information fusion results with the semantic models.

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References

  1. Kokar, M. M., Endsley, M. R.: Situation Awareness and Cognitive Modeling. In: IEEE Intelligent Systems, vol. 27, no. 3, pp. 91–96, May. (2012)

    Google Scholar 

  2. Llinas, J., Bowman, C., Rogova, G., Steinberg, A.: - Revisiting the JDL data fusion model II. In: 7th International Conference on Information Fusion (2004)

    Google Scholar 

  3. White Jr, F. E.: Data Fusion Lexicon. In: Technical Panel for C3, Data Fusion Sub-Panel. Naval Ocean Systems Center, San Diego: Joint Directors of Laboratories (1987)

    Google Scholar 

  4. Rogova, G., Bosse, E.: Information quality in information fusion. In: 13th Information Fusion (2010)

    Google Scholar 

  5. Batini, C., Cappiello, C., Francalanci, C., Maurino, A.: Methodologies for data quality assessment and improvement. In: ACM Computing Surveys, vol. 41, no. 3, pp. 1–52, Jul. (2009)

    Google Scholar 

  6. Blasch, E.: High Level Information Fusion (HLIF): Survey of models, issues, and grand challenges. In: IEEE A&E Systems magazine, pp. 4–20 (2012)

    Google Scholar 

  7. Laskey, K. Ng, G., Nagi, R.: Issues of Uncertainty Analysis in High Level Information Fusion. In: Fusion2012 Panel Discussion (2012)

    Google Scholar 

  8. Souza, J. Botega, L., Santarém Segundo, J.E., Berti, C.: Conceptual Framework to Enrich Situation Awareness of Emergency Dispatchers. In: 17th International Conference on Human-Computer Interaction, Los Angeles. Lecture Notes in Computer Science (LNCS), (2015)

    Google Scholar 

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Correspondence to Valdir Amancio Pereira Junior .

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© 2016 Springer International Publishing Switzerland

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Junior, V.A.P., Sanches, M.F., Botega, L.C., Coneglian, C.S. (2016). Towards Semantic Fusion Using Information Quality Awareness to Support Emergency Situation Assessment. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Mendonça Teixeira, M. (eds) New Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 444. Springer, Cham. https://doi.org/10.1007/978-3-319-31232-3_14

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  • DOI: https://doi.org/10.1007/978-3-319-31232-3_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31231-6

  • Online ISBN: 978-3-319-31232-3

  • eBook Packages: EngineeringEngineering (R0)

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