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Author Kelli de Faria Cordeiro; Maria Luiza M Campos; Marcos R. S. Borges
Title Adaptive integration of information supporting decision making: A case on humanitarian logistic Type Conference Article
Year 2014 Publication ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2014
Volume Issue Pages 225-229
Keywords Artificial intelligence; Decision support systems; Information systems; Natural language processing systems; Graph database; Heterogeneous information; Humanitarian logistics; Knowledge integration; Linked open datum; Multi-perspective views; Relational data models; Semantic representation; Decision making
Abstract There is an urgent demand for information systems to gather heterogeneous information about needs, donations and warehouse stocks to provide an integrated view for decision making in humanitarian logistics. The dynamic flow of information, due to the unpredicted events, requires adaptive features. The traditional relational data model is not suitable due to its schema rigidity. As an alternative, Graph Data models complemented by semantic representations, like Linked Open Data on the Web, can be used. Based on both, this research proposes an approach for the adaptive integration of information and an associated architecture. An application example is discussed in a real scenario where relief goods are managed through a dynamic and multi-perspective view.
Address Center for Naval Systems Analysis of Brazilian Navy, Federal University of Rio de Janeiro, Brazil; Federal University of Rio de Janeiro, Brazil
Corporate Author Thesis
Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780692211946 Medium
Track Decision Support Systems Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 414
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