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Author (down) Alexander Smirnov; Tatiana Levashova; Andrew Krizhanovsky; Nikolay Shilov; Alexey Kashevnik
Title Self-organizing resource network for traffic accident response Type Conference Article
Year 2009 Publication ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives Abbreviated Journal ISCRAM 2009
Volume Issue Pages
Keywords Disaster prevention; Disasters; Highway accidents; Information services; Information systems; Network architecture; Semantics; Service oriented architecture (SOA); Context; Self organizations; Semantic similarity; Service-based; Situation modeling; Web services
Abstract Traffic accidents are a common feature of the modern life. The paper proposes an approach addressing response to traffic accidents happened in a smart environment. The idea behind the approach is to self-organize resources of the environment according to the state of the situation caused by the accident. The resources self-organize a collaborative network that comprises physical devices, software services, organizations, and persons. The purpose of the resources is to undertake joint actions for accident response. The disaster response system intended for operating in smart environments has a service-oriented architecture. Some of Web-services making up the architecture are intended to model the accident situations; others model resource functionalities or bear supporting functions. Web-services that model resource functionalities are aligned against the disaster management ontology. This alignment ensures semantic interoperability of the heterogeneous resources. The alignment operation is supported by a tool that identifies similar concepts in the ontology and Web-service descriptions using a machine-readable dictionary. Response to the traffic accident illustrates main ideas described in the paper.
Address St.Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, St.Petersburg, Russian Federation
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Gothenburg Editor J. Landgren, S. Jul
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789163347153 Medium
Track Intelligent Systems Expedition Conference 6th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 956
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