The progress beyond the state of the art can be summarised in the following:
Obj1: A set of approximately 100 user requirements was formulated which corresponds to 3 relevant use cases
Obj2: a) An adaptable speech recognition component implemented with the ability to transcribe calls from existing call centre solutions b) A wide coverage multilingual text analysis component to detect from text a wide range of incidents and impacted objects, locations and states associated with incidents
Obj3: beAWARE can collect, harmonise and store information from the following sources: Meteorological, Hydrological, risk maps, multimedia, tweets.
Obj4: The visual analysis components extract high-level information by extracting low-level features and translate them into high-level concepts based on DL techniques. The extracted concepts lead to a real-time global understanding of the situation from the visual information (people impacted, traffic conditions etc.) Moreover, novel methods proposed for combining multi-modal information in early and late fusion schemes along with dimensionality reduction algorithms.
Obj5: The backbone of the reasoning mechanisms of beAWARE consists in the use of an ontology for mapping the input, estimate the severity level of an incident, cluster relevant incidents, link the heterogeneous information and reveal hidden relations. Moreover, a validation mechanism was included to control system traffic and to minimise the likelihood of malicious data impeding system effectiveness.
Obj6: A multilingual report generator for the generation of multilingual reports that derive from beAWARE's ontological representations. Two types of multilingual reports can be issued by the system, situational and summary reports covering the occurrence of incidents in chronological order. Entities and concepts beyond those modelled by the ontology can be verbalised, thus facilitating the portability of the developed components to new emergency scenarios.
Obj7: A PSAP that involves visualisation and interaction techniques for enhanced situational awareness, including situational assessment, GIS analysis and mapping
Obj8: Three large scale pilots successfully carried out, involving in a total of more than 600 participants.
In terms of societal engagement, in addition to the participatory design, testing and evaluation stages, which resulted in the involvement of more than 600 individuals (FRs, and the general public), the project reaches several communities through participation to conferences, workshops, showcases and seminars. A focused Network of Interested was established to support the direct liaison with relevant stakeholders that reached 149 members. A detailed list of dissemination and societal engagement activities can be found in the D8.3(M36), available online at https://beaware-project.eu/results/public-deliverables
Despite the end of the project in December 2019, the consortium is now moving in several directions aiming at promoting the activities carried out during the project, further exploit the project outcomes and maximise future impact.
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