Communication in Emergency Management through Data Integration and Trust: an introduction to the CEM-DIT system

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.

[1]  Stuart E. Madnick,et al.  Measuring Data Believability: A Provenance Approach , 2007, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

[2]  Carole A. Goble,et al.  Automatic vs Manual Provenance Abstractions: Mind the Gap , 2016, ArXiv.

[3]  Christiane Fellbaum,et al.  Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.

[4]  Laís do Nascimento Salvador,et al.  A Data Exchange Tool Based on Ontology for Emergency Response Systems , 2017, MTSR.

[5]  Marcos R. S. Borges,et al.  Communication Channels among the various roles during Crisis Response , 2016, ISCRAM.

[6]  Alan Bundy,et al.  Improving Dynamic Information Exchange in Emergency Response Scenarios , 2017, ISCRAM.

[7]  Vasa Curcin,et al.  ProvAbs: model, policy, and tooling for abstracting PROV graphs , 2014, IPAW.

[8]  Sebastiaan J.H. Rietjens,et al.  Inter-organisational communication in civil-military cooperation during complex emergencies: a case study in Afghanistan. , 2009, Disasters.

[9]  Bartel Van de Walle,et al.  Turning data into action: supporting humanitarian field workers with open data , 2018, ISCRAM.

[10]  Harith Alani,et al.  DoRES - A Three-tier Ontology for Modelling Crises in the Digital Age , 2017, ISCRAM.

[11]  Adam Pease,et al.  Towards a standard upper ontology , 2001, FOIS.

[12]  Antony Galton,et al.  An ontology of information for emergency management , 2011, ISCRAM.

[13]  Aladdin Shamoug.  Information Retrieval for Humanitarian Crises via a Semantically Classified Word Embedding , 2018 .

[14]  Ashish Gehani,et al.  SPADE: Support for Provenance Auditing in Distributed Environments , 2012, Middleware.

[15]  Marcos R. S. Borges,et al.  SUCRE: Supporting users, controllers and responders in emergencies , 2014, ISCRAM.

[16]  Kai Fischbach,et al.  Communication Barriers in Crisis Management: a literature Review , 2016, ECIS.

[17]  Alan Bundy,et al.  Dynamic Data Sharing from Large Data Sources , 2014 .