{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T05:20:02Z","timestamp":1740028802925,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"abstract":"<jats:p>Context is used in data fusion to provide expectations and to constrain processing. It also is used to infer or refine inferences of desired information (&amp;ldquo;problem variables&amp;rdquo;) on the basis of other available information (&amp;ldquo;context variables&amp;rdquo;). Context is used in refining data alignment and association as well as in target and situation state estimation. Relevant contexts are often not self-evident, but must be discovered or selected as a means to problem-solving. Therefore, context exploitation involves an integration of data fusion with planning and control functions. Discovering and selecting useful context variables is an abductive data fusion\/ management problem that can be characterized in a utility\/uncertainty framework. An adaptive evidence-accrual inference method &amp;ndash; originally developed for Scene Understanding &amp;ndash; is presented, whereby context variables are selected on the basis of (a) their utility in refining explicit problem variables (expressed as mutual information), (b) the probability of evaluating these variables to within a given accuracy, given candidate system actions (data collection, mining or processing), and (c) the cost of such actions.<\/jats:p>","DOI":"10.3233\/978-1-60750-621-8-131","type":"book-chapter","created":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T19:11:46Z","timestamp":1739992306000},"source":"Crossref","is-referenced-by-count":0,"title":["Adaptive Evidence Accrual for Context-Sensitive Situation Understanding"],"prefix":"10.3233","author":[{"family":"Steinberg Alan N.","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["NATO Science for Peace and Security Series - D: Information and Communication Security","Human Systems Integration to Enhance Maritime Domain Awareness for Port\/Harbour Security"],"original-title":[],"deposited":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T19:19:58Z","timestamp":1739992798000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=1874-6268&volume=28&spage=131"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-60750-621-8-131","relation":{},"ISSN":["1874-6268"],"issn-type":[{"value":"1874-6268","type":"print"}],"subject":[],"published":{"date-parts":[[2010]]}}}