Records |
Author |
Alexander Smirnov; Tatiana Levashova; Nikolay Shilov |
Title |
Context-based knowledge fusion patterns in decision support system for emergency response |
Type |
Conference Article |
Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
Volume |
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Issue |
|
Pages |
597-606 |
Keywords |
Artificial intelligence; Decision support systems; Information systems; Context-Aware; Context-based; Decision supports; Emergency response; Internal structure; Knowledge fusion; Knowledge sources; Operational stages; Emergency services |
Abstract |
The purpose of this paper is discovery of context-based knowledge fusion patterns. Knowledge fusion is considered as an appearance of new knowledge in consequence of processes ongoing in decision support systems. The knowledge fusion processes are considered within a system intended to support decisions on planning emergency response actions. The knowledge fusion patterns are generalized with regard to preservation of internal structures and autonomies of information and knowledge sources involved in the knowledge fusion and to knowledge fusion results. The found patterns give a general idea of knowledge fusion processes taking place at the operational stage of decision support system functioning, i.e. the stage where context-aware functions of the system come into operation. As a practical application, such patterns can support engineers with making choice of knowledge sources to be used in the systems they design. |
Address |
St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences (SPIIRAS), St.-Petersburg, Russian Federation; SPIIRAS, St.-Petersburg, Russian Federation |
Corporate Author |
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Thesis |
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Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
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Track |
Intelligent Systems |
Expedition |
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Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
960 |
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Author |
Alexander Smirnov; Tatiana Levashova; Nikolay Shilov |
Title |
Ubiquitous computing in emergency: Profile-based situation response |
Type |
Conference Article |
Year |
2010 |
Publication |
ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings |
Abbreviated Journal |
ISCRAM 2010 |
Volume |
|
Issue |
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Pages |
|
Keywords |
Information systems; Ubiquitous computing; Emergency response; Emergency situation; Information sources; Negotiation; Negotiation protocol; Profile; Profile structure; Service; Emergency services |
Abstract |
Ubiquitous computing opens new possibilities to various aspects of human activities. The paper proposes an approach to emergency situation response that benefits of the ubiquitous computing. The approach is based on utilizing profiles to facilitate the coordination of the activities of the emergency response operation members. The major idea behind the approach is to represent the operation members together with information sources as a network of services that can be configured via negotiation of participating parties. Such elements as profile structure, information source model and negotiation protocol are described in detail. |
Address |
SPIIRAS, St.Petersburg, Russian Federation |
Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Seattle, WA |
Editor |
S. French, B. Tomaszewski, C. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
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Medium |
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Track |
Intelligent Systems |
Expedition |
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Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
957 |
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Author |
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 |
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Issue |
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Pages |
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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 |
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Thesis |
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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 |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789163347153 |
Medium |
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Track |
Intelligent Systems |
Expedition |
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Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
956 |
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Author |
Alexander Smirnov; Nikolay Shilov; Tatiana Levashova; Alexey Kashevnik |
Title |
Web-service network for disaster management |
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 |
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Issue |
|
Pages |
516-525 |
Keywords |
Decision support systems; Disaster prevention; Disasters; Information systems; Problem solving; Constraint Satisfaction; Context; Disaster response; Operational decision support; Self-organising; Web services |
Abstract |
The paper addresses the issue of context-aware operational decision support in emergency situations. A decision support system (DSS) developed for this purpose is implemented as a network of a set of Web-services. The Web-services try to organise a service network according to context. Here the context is proposed to be modelled as a “problem model”. It specifies problems to be solved in a particular kind of emergency situation. Context is produced based on the knowledge extracted from the application domain (application ontology) and formalised by a set of constraints. The purpose of the service network is provision the DSS with contextualised information from diverse information sources and solving problems specified in the context. In the framework of context-aware operational decision support, composition of the application ontology for the disaster management domain from the Semantic Web Ontologies is discussed and a hybrid technology of context-aware operational decision support is presented. The technology is based on ontology management, context management, constraint satisfaction, and Web Services. Application of the ideas above is illustrated by an example of a decision support system for real-time resource coordination and situation awareness for logistics management in fire response operations. |
Address |
St.Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, St.Petersburg, Russian Federation |
Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
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Track |
Intelligent Systems for Crisis and Disaster Management |
Expedition |
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Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
|
Serial |
959 |
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Author |
Alexander Smirnov; Mikhail Pashkin; Nikolay Shilov; Tatiana Levashova |
Title |
Intelligent support of context-based megadisaster management: Hybrid technology and case study |
Type |
Conference Article |
Year |
2007 |
Publication |
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers |
Abbreviated Journal |
ISCRAM 2007 |
Volume |
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Issue |
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Pages |
305-316 |
Keywords |
Decision support systems; Hurricanes; Constraint Satisfaction; Context management; Decision supports; Humanitarian logistics; Hybrid technology; Intelligent decision making; Intelligent support; Ontology management; Decision making |
Abstract |
The situation with the hurricane Katrina showed that the conventional tiered response to disaster event, whereby state and local officials are responsible for the first few days, does not work well in case of megadisasters (massive hurricanes, earthquakes, large-scale acts of terrorism, etc.). Such situations require application of new technologies for preparing the operation, interoperability between the operation participants, and decision support for officials. Here presented approach proposes a context-driven decision support schema based on integration of such technologies as context & ontology management and constraint satisfaction. The application of the approach is illustrated via a case study of a portable hospital arrangement. |
Address |
St.Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, St.Petersburg, Russian Federation |
Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Delft |
Editor |
B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789054874171; 9789090218717 |
Medium |
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Track |
ASCM |
Expedition |
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Conference |
4th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
958 |
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