Projects per year
Abstract / Description of output
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 differently, 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.
Original language | English |
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Title of host publication | Proceedings of 14th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2017) |
Place of Publication | Albi, France |
Publisher | Information Systems for Crisis Response and Management, ISCRAM |
Pages | 824-833 |
Number of pages | 10 |
Publication status | Published - 24 May 2017 |
Event | 14th International Conference on Information Systems for Crisis Response and Management - Albi, France Duration: 21 May 2017 → 24 May 2017 https://iscram2017.mines-albi.fr/ |
Publication series
Name | |
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Publisher | Iscram |
ISSN (Electronic) | 2411-3387 |
Conference
Conference | 14th International Conference on Information Systems for Crisis Response and Management |
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Abbreviated title | ISCRAM 2017 |
Country/Territory | France |
City | Albi |
Period | 21/05/17 → 24/05/17 |
Internet address |
Fingerprint
Dive into the research topics of 'Improving Dynamic Information Exchange in Emergency Response Scenarios'. Together they form a unique fingerprint.Projects
- 2 Finished
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ESSENCE - Evolution of Shared Semantics in Computational Environments (RTD)
1/11/13 → 31/10/17
Project: Research
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Machine assisted inter-agency communication during emergency response
Non-EU industry, commerce and public corporations
16/12/11 → 15/12/12
Project: Research
Profiles
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Alan Bundy
- School of Informatics - Professor
- Artificial Intelligence and its Applications Institute
- Data Science and Artificial Intelligence
Person: Academic: Research Active
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Fiona Mcneill
- School of Informatics - Reader in Computer Science Education
- Institute of Language, Cognition and Computation
- Language, Interaction, and Robotics
Person: Academic: Research Active