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Session Semantic Agents
Duration 1 hour
Date/Time 16 Mar 2022 16:00 GMT
9:00am PDT/12:00pm EDT
4:00pm GMT/5:00pm CET
Convener Ravi Sharma
Track Pandemics


Pandemics and Other Disasters     (2A)

Agenda     (2B)

  • Mariya Evtimova-Gardair - Semantic agents system for personalized searching for COVID information Slides     (2B1)
    • Bio sketch: From September 2021 Mariya Evtimova-Gardair has started working in the university Paris 8 in Paris (France) as assistant professor in the department of informatics. From 2019 to 2021 she moved her career into research when she was working for INRAE (France's National Research Institute for Agriculture, Food and Environment). Before that she was working from 2012 to 2019 as assistant professor in Technical University Sofia in Bulgaria. Meanwhile she obtained a Phd degree in 2017 with the topic “Semantic agents for personalized searching” from Technical University Sofia. Her knowledge and also professional experience are not only in the domain of informatics but also in the domain of electronics that contribute to the beginning of her career.     (2B1A)
    • Mariya has participated in various scientific projects related to AI, IR, semantics, multi-agent systems, reasoning and meshing. As a part of her publications are also two book chapters:     (2B1B)
  1. Evtimova M., “Big data healthcare system to improve healthcare information searching in the Internet”, Chapter 7,e-ISBN:9781785612121, 2017, IET, UK, pp.161-182     (2B2)
  2. Evtimova-Gardair, Mariya, Pallis, Evangelos: 'Intelligent agents system for medical information communication', Chapter 5, ‘Intelligent Wireless Communications’, ISBN:9781839530951,2021, IET, Scopus Indexed, pp.107-134     (2B3)
  3. Meanwhile Mariya has another book chapter accepted for publishing 'Definition of human science disciplinary ontology for education that correspond to fair principles, bibliographic and archive standards'.     (2B4)

Conference Call Information     (2C)

Attendees     (2D)

Discussion     (2E)

[12:40] Gary Berg-Cross: Can you say a few more words on what it means that the ontology is rule based? Maybe an example would help.     (2E1)

[12:42] Gary Berg-Cross: You seem to have a knowledge base made up of cases which can be factored in things like symptoms etc.     (2E2)

[12:42] RaviSharma: Also We would like to know how you select from various likely results, which rules?     (2E3)

[12:45] Bobbin Teegarden: In your case based reasoning, how do you decide which cases are most similar?     (2E4)

Resources     (2F)

Previous Meetings     (2G)

Next Meetings     (2H)