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Author  |
Bogdan Tatomir; Leon J.M. Rothkrantz; Mirela Popa |
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Title |
Intelligent system for exploring dynamic crisis environments |
Type |
Conference Article |
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Year |
2006 |
Publication |
Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2006 |
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Volume |
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Issue |
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Pages |
288-297 |
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Keywords |
Complex networks; Information systems; Intelligent systems; Mobile ad hoc networks; Multi agent systems; Crisis; Emergency; Graph matchings; Infrastructure-less; Manet; Map merging; Topological map; Merging |
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Abstract |
The routing in complex buildings is provided by information systems. But during a crisis situation, these systems may collapse due to certain incidents like an explosion, a fire or sabotage. The task of guiding people in this situation has to be handled in some way. In this paper we present a possible solution to this problem. We use a multi-agent system in a mobile ad-hoc network, without the need of any infrastructure. The main idea of the paper is that just by exploring the damaged building, the data of the changing environment becomes available and the challenge is how to fuse this data from different observers. We focused on the way of building, sharing and merging topological maps, using observations from individuals present in this infrastructure-less network. Besides a more efficient exploration of the building, the system presented in this paper can provide the rescue teams with additional services like finding the nearest exit. Some results of the tests we run with our system are also presented. |
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Address |
Delft University of Technology, DecisLab, Delft, NL, Netherlands; Delft University of Technology, Delft, NL, Netherlands |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Newark, NJ |
Editor |
B. Van de Walle, M. Turoff |
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Language |
English |
Summary Language |
English |
Original Title |
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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 |
9090206019; 9789090206011 |
Medium |
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Track |
MULTIAGENT SYSTEMS FOR EMERGENCY MANAGEMENT |
Expedition |
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Conference |
3rd International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
997 |
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Author |
Claire Laudy |
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Title |
Rumors detection on Social Media during Crisis Management |
Type |
Conference Article |
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Year |
2017 |
Publication |
Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2017 |
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Volume |
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Issue |
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Pages |
623-632 |
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Keywords |
Semantic information fusion; Uncertainty management; Ontology; Graph matching; conflict detection; rumors detection |
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Abstract |
Social Media monitoring has become a major issue in crisis and emergencies management. Indeed, social media may ease the sharing of information between citizens and Public Safety Organizations, but it also enables the rapid spreading of inaccurate information. As information is now provided and shared by anyone to anyone, information credibility is a major issue. We propose an approach to detect rumor in social media. This paper describes our work on semantic graph based information fusion, enhanced with uncertainty management capabilities. The uncertainty management capability enables managing the dierent level of credibility of actors of an emergency (dierent PSO oÿcers and citizens). Functions for information synthesis, conflicting information detection and information evaluation were developed and test during experimentation campaigns. The synthesis and conflicting information detection functionalities are very welcome by end-users. However, the uncertainty management is a combinatorial approach which remains a limitation for use with large amount of information. |
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Address |
Thales Research & Techology |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Albi, France |
Editor |
Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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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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Track |
Social Media Studies |
Expedition |
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Conference |
14th International Conference on Information Systems for Crisis Response And Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2050 |
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Author |
Fiona Jennet McNeill; Diana Bental; Jeremy Bryan; Paolo Missier; Jannetta S. Steyn; Tom Kumar |
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Title |
Communication in Emergency Management through Data Integration and Trust: an introduction to the CEM-DIT system |
Type |
Conference Article |
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Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
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Volume |
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Issue |
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Pages |
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Keywords |
provenance, data matching, data integration, semantic web systems, decision support |
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Abstract |
This paper discusses the development of the CEM-DIT (Communication in Emergency Management through Data
Integration and Trust) system, which allows decision makers in crises to send out automated data requests to multiple
heterogeneous and potentially unknown sources and interactively determine how reliable, relevant and trustworthy
the responses are. We describe the underlying technology, which is based partially on data integration and matching,
and partly on utilisation of provenance data. We describe our cooperation with the Urban Observatory (UO), which
allows us to develop the system in collaboration with developers of the kind of crisis-relevant data which the system
is designed for. The system is currently in development, and we describe which parts are fully implemented and
which are currently being developed. |
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Address |
Heriot-Watt University, Scotland;Coventry University, United Kingdom;Newcastle University, United Kingdom |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
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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 |
978-84-09-10498-7 |
Medium |
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Track |
T5- Intelligent and Semantic Web Systems |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1961 |
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Author |
Fiona McNeill; Andriana Gkaniatsou; Alan Bundy |
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Title |
Dynamic data sharing for facilitating communication during emergency responses |
Type |
Conference Article |
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Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
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Volume |
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Issue |
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Pages |
369-373 |
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Keywords |
Chains; Communication; Data interpretation; Dynamic data sharing; Emergency response; Intelligent queries; Matching; Proof of concept; Query; Query answering; Information systems |
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Abstract |
This paper describes the CHAIn system, which is designed to facilitate data sharing between disparate organisations during emergency response situations by resolving mismatches in their data. It uses structured data matching to reformulate failed queries in cases where these failed because of incompatibilities between the query (derived from the source schema) and the schema of the queried datasource (the target schema). This reformulation is done by developing matches between the source schema and the target schema. These matches are then used to reformulate the query and retrieve responses relevant to those expected by the original query. Despite the growing interest in intelligent query answering, integration of data matching into query answering is novel, and allows users to successfully query datasources even if they do not know how the data in that source is organized, which is often the case during emergency responses. We describe the proof-of-concept system we have developed and an encouraging initial evaluation. |
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Address |
Heriot-Watt University, United Kingdom; University of Edinburgh, United Kingdom |
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Thesis |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
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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 |
9780692211946 |
Medium |
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Track |
Intelligent Systems |
Expedition |
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Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
758 |
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Author |
Francisco J. Quesada Real; Fiona McNeill; Gábor Bella; Alan Bundy |
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Title |
Improving Dynamic Information Exchange in Emergency Response Scenarios |
Type |
Conference Article |
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Year |
2017 |
Publication |
Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2017 |
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Volume |
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Issue |
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Pages |
824-833 |
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Keywords |
Query matching; dynamic information exchange; domain-aware matching; domain-specific terminologies; emergency-response extension |
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Abstract |
Emergency response scenarios are characterized by the participation of multiple agencies, which cooperate to control the situation and restore normality. These agencies can come from diverse areas of expertise which entails that they represent knowledge dierently, using their own vocabularies and terminologies. This fact complicates the automation of the information-sharing process, creating problems such as ambiguity or specialisation. In this paper we present an approach to tackle these problems by domain-aware semantic matching. This method requires the formalisation of domain-specific terminologies which will be added to an existing system oriented to emergency response. Concretely, we have formalised terms from the UK Civil and Protection Terminology lexicon, which gathers some of the most common terms that UK agencies use in these scenarios. |
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Address |
University of Edinburgh; Heriot-Watt University; University of Trento |
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Corporate Author |
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Thesis |
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Publisher |
Iscram |
Place of Publication |
Albi, France |
Editor |
Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds |
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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 |
New Technologies for Crisis Management |
Expedition |
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Conference |
14th International Conference on Information Systems for Crisis Response And Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
2068 |
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Author |
Jim Steel; Renato Iannella; Ho-Pun Lam |
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Title |
Using ontologies for decision support in resource messaging |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
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Volume |
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Issue |
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Pages |
276-284 |
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Keywords |
Civil defense; Disasters; Information systems; Ontology; Risk management; Decision supports; Emergency management; Intelligent decision support; Message format; Ontology matching; Organizational boundaries; Resource management; Decision support systems |
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Abstract |
Emergency management is by its nature, and in some jurisdictions by its definition, an activity that requires a concerted effort by a number of governmental and non-governmental agencies. There is a growing appreciation that collaboration between these parties is best served through the use of interoperable standards for message formats for purposes such as alerting and resource exchange. However, it is also important to realize that, although much advantage can be drawn from standardizing certain aspects of communication, such as the structure of messages, different agencies will use different vocabularies. In this paper we discuss how ontologies can be used with standard messaging formats for resource messaging to enable intelligent decision support mechanisms in the presence of differing vocabularies across organizational boundaries. We also present a survey of the opportunities for using ontologies in emergency management, and the issues that must be addressed. |
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Address |
University of Queensland, NICTA, Australia |
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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 |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
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Track |
Ontologies for Crisis Management |
Expedition |
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Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
972 |
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Author |
Lisa Fern; Stoney Trent; Martin Voshell |
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Title |
A functional goal decomposition of urban firefighting |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
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Volume |
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Issue |
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Pages |
305-314 |
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Keywords |
Decision making; Fires; Information systems; Job analysis; Cognitive task analysis; Decision strategy; Design recommendations; Emergency response; Firefighting; Information requirement; Pattern-matching technique; Fire extinguishers |
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Abstract |
In this paper we describe a functional goal decomposition of urban firefighting as part of a larger cognitive task analysis. Previous research indicates that firefighter decision strategies employ a pattern-matching technique that allows them to choose the first workable option based on similar previous experiences. This study builds upon this research by employing multiple cognitive task analysis methods to further examine firefighter decisions through a functional goal decomposition. The functional goal decomposition outlines the functions, decisions and information requirements of firefighting in terms of two overarching goals-save lives and protect property. Information requirements provide useful insight into the difficulties of firefighter decision-making. Though still in the preliminary stages, this project has generated a number of design recommendations to support urban firefighting. Future analyses are also discussed. |
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Address |
Cognitive Systems Engineering Lab, Ohio State University, United States; Department of Behavioral Sciences and Leadership, United States Military Academy, United States |
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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 |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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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 |
Research Methods in ISCRAM |
Expedition |
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Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
488 |
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Author |
Maurizio Marchese; Lorenzino Vaccari; Pavel Shvaiko; Juan Pane |
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Title |
An application of approximate ontology matching in eResponse |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
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Volume |
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Issue |
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Pages |
294-304 |
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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 |
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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. |
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Address |
University of Trento, Italy |
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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 |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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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 |
Ontologies for Crisis Management |
Expedition |
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Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
741 |
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