|Date/Time||16 Mar 2022 16:00 GMT|
|9:00am PDT/12:00pm EDT|
|4:00pm GMT/5:00pm CET|
Ontology Summit 2022 Semantic Agents
Dealing with Disasters
The COVID-19 pandemic as well as other pandemics and disasters have prompted an impressive, worldwide response by governments, industry, and the academic community. Ontologies can play a significant role in search, data description, interoperability and harmonization of the increasingly large data sources that are relevant to disasters such as the COVID-19 pandemic. The Ontology Summit 2022 examined the overall landscape of disasters and related ontologies. A framework consisting of a set of dimensions was developed to characterize this landscape. The framework was applied to health-related disasters, environmental disasters, as well as aerospace and cyberspace disasters. It was found that there are many cross-domain linkages between different kinds of disasters and that ontologies developed for one kind of disaster can be repurposed for other kinds. A representative sample of projects that have been developing and using ontologies for disaster monitoring and response management is presented to illustrate best practices and lessons learned. The Communiqué ends by presenting the findings and recommendations of the summit.
- Mariya Evtimova-Gardair - Semantic agents system for personalized searching for COVID information Slides
- 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.
- 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:
- 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
- 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
- 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'.
Conference Call Information
- Date: Wednesday, 16 Mar 2022
- Start Time: 9:00am PDT / 12:00pm EDT / 5:00pm CET / 4:00pm GMT / 1600 UTC
- ref: World Clock
- Note: The US and Canada are on Daylight Saving Time while Europe has not yet changed.
- Expected Call Duration: 1 hour
- The Video Conference URL is https://bit.ly/3rTKSGQ
- Meeting ID: 881 4427 2329
- Passcode: 553714
- Chat Room: https://bit.ly/37g93pC
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- Asiyah Lin
- Bev Corwin
- Bobbin Teegarden
- Cassiopeia Miles
- Chris Ahern
- Damion Dooley
- Doug Holmes
- Douglas R Miles
- Gary Berg-Cross
- George Hurlburt
- Janet Singer
- Ken Baclawski
- Marcia Zeng
- Mariya Evtimova
- Nancy Wiegand
- Ram D. Sriram
- Ravi Sharma
- Robert Rovetto
- Michael DeBellis
[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.
[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.
[12:42] RaviSharma: Also We would like to know how you select from various likely results, which rules?
[12:45] Bobbin Teegarden: In your case based reasoning, how do you decide which cases are most similar?
|ConferenceCall 2022 03 09||Knowledge Graph Approach to Combat COVID-19|
|ConferenceCall 2022 03 02||Workshop Report|
|ConferenceCall 2022 02 23||Synthesis|
|... further results|
|ConferenceCall 2022 03 23||Risk|
|ConferenceCall 2022 03 30||Synthesis|
|ConferenceCall 2022 04 06||ESIP Cross-Domain Collaboratory|
|... further results|