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Author Nicholas Palmer; Roelof Kemp; Thilo Kielmann; Henri Bal
Title RAVEN: Using smartphones for collaborative disaster data collection Type Conference Article
Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012
Volume Issue Pages
Keywords Database systems; Disaster prevention; Disasters; Distributed computer systems; Groupware; Information systems; Signal encoding; Smartphones; User interfaces; Android; Centralized resources; Collaborative Editing; Collaborative softwares; Data distribution; Data synchronization; Disaster management; Work in progress; Android (operating system)
Abstract In this paper we describe our work in progress on RAVEN, a framework, which makes it possible to build applications for collaborative editing of structured data on Android. RAVEN offers developers compile time tools, which use only the schema to generate all database handling components, edit and list user interfaces, as well as those needed for data synchronization, significantly reducing development effort. In addition, RAVEN also offers the ability to do the same work, entirely at runtime, using only a smartphone. With RAVEN it is possible to construct data oriented applications on phone at any time, including during a disaster. Users can share their applications simply by sharing the database and corresponding schema. Thus, RAVEN enables completely decentralized application creation, sharing, and data distribution, avoiding issues of connectivity to centralized resources. In this paper we show that with RAVEN it is possible to construct a new application at runtime and compare the results with an equivalent custom-built application. © 2012 ISCRAM.
Address VU University Amsterdam, Netherlands
Corporate Author Thesis
Publisher Simon Fraser University Place of Publication (up) Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780864913326 Medium
Track Analytical Modelling and Simulation Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 183
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Author Maurizio Marchese; Lorenzino Vaccari; Pavel Shvaiko; Juan Pane
Title An application of approximate ontology matching in eResponse Type Conference Article
Year 2008 Publication Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2008
Volume Issue Pages 294-304
Keywords Distributed computer systems; Information systems; Ontology; Peer to peer networks; Semantics; Web services; Websites; Approximate ontology matching; Crisis management; Interaction model; Ontology matching; Organizational modeling; Peer-to-peer information; Semantic heterogeneity; Web service composition; Emergency services
Abstract Ontology matching is a key problem in many metadata intensive application domains, including emergency response, data integration, peer-to-peer information sharing, web service composition, and query answering on the web. In this paper we present an emergency response scenario based on the organizational model as used in Trentino region, Italy. We provide a formalization of this scenario with the help of lightweight coordination calculus. Then, we discuss an automatic approximate structure preserving matching algorithm which we applied within the emergency response scenario. The evaluation results, though preliminary, are encouraging.
Address University of Trento, Italy
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication (up) Washington, DC Editor F. Fiedrich, B. Van de Walle
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9780615206974 Medium
Track Ontologies for Crisis Management Expedition Conference 5th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 741
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