Context as an Uncertain Source

Autor:	Geoff A. Gross, James Llinas, Anne-Laure Jousselme
Rok vydání:	2016
Předmět:	Source characterization Computer science media_common.quotation_subject Probabilistic logic Contextual information Context (language use) Process design Quality (business) Ontology (information science) Data science Threat assessment media_common
Zdroj:	Context-Enhanced Information Fusion ISBN: 9783319289694 Context-Enhanced Information Fusion
DOI:	10.1007/978-3-319-28971-7_3
Popis:	Source characterization is a fundamental function in fusion process design; this chapter addresses the issues involved when the characteristics of contextual information include uncertain and imprecise qualities and examines the associated impacts on computational operations. An overview regarding the general issue of uncertainty in fusion processes is provided, along with a survey of literature that addresses uncertainty in contextual information and the related issues of the ontology of and quality factors for contextual information. An extended use case discussion is also provided related to the role of and specific exploitation strategies for contextual information to support threat assessment for harbor protection; this use case derives from in-depth research at the NATO Center for Maritime Research and Experimentation (CMRE; La Spezia, Italy).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::194ce99226617d8cf32cf2d973f912d3 https://doi.org/10.1007/978-3-319-28971-7_3 Zobrazit plný text záznamu