Design of Situation Assessment System Based on Knowledge Base

Fei Fei Du; Qi Zhi Huang; Lei Wang; Xi Su

doi:10.4028/www.scientific.net/AMR.546-547.503

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 546-547Design of Situation Assessment System Based on...

Design of Situation Assessment System Based on Knowledge Base

Abstract:

Situation assessment (SA) is essentially a reasoning process based on knowledge, thus knowledge base is one of the most important components of SA system. According to the analysis of situation shaping process, this paper defines the needs of battlefield decision-making on SA system, designs a primary structure of SA system based on knowledge base and expatiates its operation.

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Periodical:

Advanced Materials Research (Volumes 546-547)

Pages:

503-507

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.546-547.503

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Online since:

July 2012

Authors:

Fei Fei Du, Qi Zhi Huang, Lei Wang, Xi Su

Keywords:

Expert System, Knowledge Base, Reasoning Based on Knowledge, Situation Assessment

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References

[1] E. Waltz and J. Linas. Muslti-sensor Data Fusion. Boston MA: Artech House. (1990).

Google Scholar

[2] A.N. Steinberg C.L. Bowman and F.E. White. Revisions to the JDL Data Fusion Model. In Proceedings of 3rd NATO/IRIS Conference，Quebee，Canada，(1998).

Google Scholar

[3] Llinas L, Bowman C, Rogova G, Steinberg A, Waltz E W F. Revising the JDL Data Fusion Model II[C]. Stockholm, Sweden: (2004).

Google Scholar

[4] Endsley, M. R. and Garland D. J. Theoretical Underpinnings of Situation Awareness: A Critical Review[R]. Situation Awareness Analysis and Measurement. Mahwah, NJ: Lawrence Erbaum Associates, (2000).

DOI: 10.1177/106480460100900210

Google Scholar

[5] David S. Albert, John J. Garstka, Richard E. Hayes. Understanding Information Age Warfare [M]. Washington: CCRP Publications, (2001).

Google Scholar

[6] Yanping Xiang, Yifeng Zeng, William Zhu, Kim-Leng Poh. An Intelligent Design System for Military Situation Assessment [A]. Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering.

DOI: 10.1109/iske.2008.4730917

Google Scholar

[7] Song Jie. Research on Key Techniques of Data Warehousing and ETL for Multi-type Data Sources [D]. Northeast University, (2008).

Google Scholar

[8] Hu Wei. Research on Key Issues in Network Security Situation Awareness. [D] Shanghai Jiao Tong University, (2008).

Google Scholar