Automated Reasoning for Maritime Anomaly Detection

PDF

Authors
  1. Roy, J.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN)
Abstract
Maritime domain operators and analysts around the world maintain 24/7 watch over the oceans. They do so by extracting and analyzing situational facts from a variety of sensor data streams and situation analysis support tools. Unfortunately, many of the situational facts of interest cannot be observed. The operators/analysts thus use their knowledge of the maritime domain and their reasoning faculties to infer the facts of interest that cannot be observed. However, they are often overwhelmed by the large amount of data and information that they have to process; automated reasoning tools could thus be used to support them. In this regard, this paper discusses an ongoing research activity to develop an environment that would enable the synergistic exploitation of the complementary strengths and expressiveness characteristics of different knowledge representation approaches and corresponding reasoning paradigms (e.g., rule-based, description logics and case-based reasoning) to achieve the inference of situational facts through automated reasoning.
Report Number
DRDC-VALCARTIER-SL-2009-384 — Scientific Literature
Date of publication
15 Sep 2009
Number of Pages
13
DSTKIM No
CA033341
CANDIS No
532648
Format(s):
Document Image stored on Optical Disk

Permanent link

Document 1 of 1

Date modified: