NDLI: Markov Logic Networks for context integration and situation assessment in maritime domain

Content Provider	IEEE Xplore Digital Library
Author	Snidaro, L. Visentini, I. Bryan, K. Foresti, G.L.
Copyright Year	2012
Description	Author affiliation: University of Udine, Department of Mathematics and Computer Science, Via Margreth 3, 3100 Udine, Italy (Snidaro, L.; Foresti, G.L.) \|\| NATO Undersea Research Centre, Viale San Bartolomeo 400, 19126 La Spezia, Italy (Visentini, I.; Bryan, K.)
Abstract	The detection of anomalies has a critical role in situational assessment. In this paper, we break down the concept of anomaly in the maritime domain into different levels and relate them to the JDL fusion model. We also show how uncertain context knowledge can be encoded through Markov Logic Networks (MLNs) which offer a convenient framework leveraging both the expressive power of first order logic and the probabilistic uncertainty management of Markov networks. Every formula in the knowledge base is assigned a weight indicating its confidence. Different types of knowledge with associated uncertainty can therefore be fused together within MLNs and on-line inference can be performed as input data is processed by the system, and the formulas are grounded in the knowledge base. Promising examples are demonstrated on a sample set of rules for maritime event and anomaly detection.
Starting Page	1534
Ending Page	1539
File Size	665329
Page Count	6
File Format	PDF
ISBN	9781467304177
e-ISBN	9780982443859
e-ISBN	9780982443842
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-09
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	ISIF ( Intl Society of Information Fusi
Subject Keyword	Marine vehicles Knowledge based systems Markov random fields Uncertainty Grounding Context
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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