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! scope="row" | Session
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| [[session::Semantic Agents]]
| [[session::Knowledge Graph Approach to Combat COVID-19]]
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! scope="row" rowspan="3" | Date/Time
| [[has date::16 Mar 2022 16:00 GMT]]
| [[has date::09 Mar 2022 17:00 GMT]]
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| 9:00am PDT/12:00pm EDT
| 9:00am PST/12:00pm EST
|-
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| 4:00pm GMT/5:00pm CET
| 5:00pm GMT/6:00pm CET
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! scope="row" | Convener
! scope="row" | Convener
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== Agenda ==
== Agenda ==
* '''Mariya Evtimova-Gardair''' - ''Semantic agents system for personalized searching for COVID information'' [https://bit.ly/3igGA8w Slides]
* '''Michael DeBellis''' ''Semantic Technology and the COVID-19 Pandemic'' [https://bit.ly/3w5ZQ0X 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.
** Michael DeBellis is an independent researcher and consultant. Previously he was a partner with Deloitte Consulting and their eBusiness Chief Technology Officer. He also ran the Deloitte Western Region solution center lab in San Francisco. Prior to that he was a scientist at Accenture's Center for Strategic Technology and Research (CSTaR) where he was principal investigator for Accenture's Knowledge Based Software Assistant (KBSA) program. Prior to that he was a research associate at the Information Sciences Institute (ISI) and a senior staff in Accenture's Artificial Intelligence group. He has an MS degree in Computer Science from the University of Southern California and a BS/BA degree in computer science, psychology, and philosophy from the University of IL. at Chicago. His research interests include the Semantic Web, Knowledge Graphs, Software Engineering methods, and Evolutionary Psychology.
** 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:
* '''Biswanath Dutta''' ''CODO: an ontology for collection and analysis of multiparadigm COVID-19 data'' [https://bit.ly/3tCltTD Slides]
# 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
** Biswanath Dutta is an Associate Professor at the Documentation Research and Training Centre (DRTC) of Computer and Communication Sciences Division of the Indian Statistical Institute (ISI), Bangalore Centre, INDIA. He holds a Bachelors's degree in Physics (1999) and a Bachelors's degree in Library and Information Science (LIS) (2000). He holds a master's degree in LIS from ISI Bangalore (2003) and has obtained a Ph.D. degree in LIS from the University of Pune (India), 2010 for his research conducted in ISI Bangalore. His area of study was online learning systems and semantic technologies. He was a Post-Doctoral Fellow at the Department of Information Engineering and Computer Science (DISI) of University of Trento, Italy (2009-2012). He has worked as a research assistant at the Department of Computer Science, Dalhousie University, Halifax, Canada.  He has visited Interactive Media Lab, University of Toronto, Canada, and Max Plank Institut Informatic (MPII), Germany. He has actively worked on a European Commission funded research project ‘LivingKnowledge: LivingKnowledge - Facts, Opinions, and Bias in Time’ [http://livingknowledge-project.eu/]. He has worked in ITPAR II and III. Currently, he is handling (as a PI) a research project on COVID-19 and knowledge graph funded by Indian Statistical Institute, Kolkata [https://www.isibang.ac.in/~bisu/covid19project.html].  He provides consultancy services to the industries. He currently serves as a secretary of the International Society for Knowledge Organization (ISKO) - India Chapter.  He has published more than 50 scientific papers in national and international journals and conferences.  He has four books to his credit. His current research interests lie in the areas of ontology, metadata, knowledge graph, data science, and semantic technologies (for more, visit [https://sites.google.com/view/bdutta]/).
# 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
* [https://bit.ly/3w3icQ8 Video Recording]
# 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'.
* [https://bit.ly/3CS1hBo Video Recording]


== Conference Call Information ==
== Conference Call Information ==
* Date: '''Wednesday, 16 Mar 2022'''  
* Date: '''Wednesday, 09 Mar 2022'''  
* Start Time: 9:00am PDT / 12:00pm EDT / 5:00pm CET / 4:00pm GMT / 1600 UTC
* Start Time: 9:00am PST / 12:00pm EST / 6:00pm CET / 5:00pm GMT / 1700 UTC  
** ref: [http://www.timeanddate.com/worldclock/fixedtime.html?month=03&day=16&year=2022&hour=12&min=00&sec=0&p1=179 World Clock]  
** ref: [http://www.timeanddate.com/worldclock/fixedtime.html?month=03&day=09&year=2022&hour=12&min=00&sec=0&p1=179 World Clock]  
** Note: The US and Canada are on Daylight Saving Time while Europe has not yet changed.
* Expected Call Duration: 1 hour
* Expected Call Duration: 1 hour
{{:OntologySummit2022/ConferenceCallInformation}}
{{:OntologySummit2022/ConferenceCallInformation}}


== Attendees ==
== Attendees ==
* [[AndrewDougherty|Andrew Dougherty]]
* [[AsiyahLin|Asiyah Lin]]
* [[AsiyahLin|Asiyah Lin]]
* [[BevCorwin|Bev Corwin]]
* [[BevCorwin|Bev Corwin]]
* [[BobbinTeegarden|Bobbin Teegarden]]
* [[BiswanatDutta|Biswanath Dutta]]
* [[CassiopeiaMiles|Cassiopeia Miles]]
* [[CassiopeiaMiles|Cassiopeia Miles]]
* [[ChrisAhern|Chris Ahern]]
* [[ChrisAhern|Chris Ahern]]
Line 55: Line 53:
* [[KenBaclawski|Ken Baclawski]]
* [[KenBaclawski|Ken Baclawski]]
* [[MarciaZeng|Marcia Zeng]]
* [[MarciaZeng|Marcia Zeng]]
* [[MariyaEvtimova|Mariya Evtimova]]
* [[NancyWiegand|Nancy Wiegand]]
* [[NancyWiegand|Nancy Wiegand]]
* [[RamSriram|Ram D. Sriram]]
* [[RamSriram|Ram D. Sriram]]
Line 63: Line 60:


== Discussion ==
== Discussion ==
[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.
[12:14] RaviSharma: hello and welcome


[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.
[12:15] RaviSharma: Michael - What about Ramsidivir and others repurposed, did you keep track of these. Can you also follow groups where combinations of drugs are used, such as steroids interaction?


[12:42] RaviSharma: Also We would like to know how you select from various likely results, which rules?
[12:17] RaviSharma: Michael - How do you use semantics in a query?


[12:45] Bobbin Teegarden: In your case based reasoning, how do you decide which cases are most similar?
[12:22] Asiyah Lin: I'd like to say CIDO is an ontology rather than a vocabulary, maybe controlled vocabulary is more precise. And the whole OBO ontologies the same, should be more ontologies rather than vocabularies.
 
[12:23] RaviSharma: Are KGs a part of Property Graph?
 
[12:25] Asiyah Lin: Michael, your observation is correct. OWL has a higher request, it is more for a knowledge system, rather a data system.
 
[12:35] RaviSharma: For Dr Dutta - Are all types / combos of queries like the one you showed possible, for example multiple drugs used or by comorbidities and in another level which and which genes are affected?
 
[12:36] RaviSharma: For Both: How does virus genome interact with human genome? Are there any overlaps and overlays between them?
 
[12:42] RaviSharma: What distributions and other aspects of multivariate analysis are important in CODO?
 
[12:44] Gary Berg-Cross: CIDO reuses some OBO foundry work.  Did CODO reuse the same work for vaccines, Dx, treatments etc.?  How harmonized is CODO with CIDO?
 
[12:46] Gary Berg-Cross: What was the pattern used for weather situation?
 
[12:47] RaviSharma: How many individuals and institutes are collaborating now - active, informational and contributors and in analysis as well?
 
[12:49] Gary Berg-Cross: I now think of KG design methods as a hybrid that brings together data management methods  with graph development methods that leverage ontology engineering methods.  Worth a paper if anyone interested.....
 
[12:51] Gary Berg-Cross: The materials consulted slide is a rich one that would take time to understand.
 
[12:51] RaviSharma: Dr Dutta - Are you able to see gaps among different sources for example private, state and federal sources for same item in vocabulary or graph?
 
[12:55] Gary Berg-Cross: Understanding the relations you used in the work is critical.  So for disease transmission/contact tracing you have "has close relationship with" between people.
 
[13:00] RaviSharma: Q for both - How can KG SQL developed by Ken Baclawski be used?
 
[13:13] Ram D. Sriram: Do you have a COVID disease ontology in your system. If so, what are its characteristics
 
[13:31] Gary Berg-Cross and Asiyah Lin: For real world data and evidence, please check out this group:
OHDSI (https://www.ohdsi.org/) Observational Health Data Sciences and Informatics


== Resources ==
== Resources ==
* [https://bit.ly/3igGA8w Slides]
* Michael DeBellis [https://bit.ly/3w5ZQ0X Semantic Technology and the COVID-19 Pandemic]
* [https://bit.ly/3CS1hBo Video Recording]
* Biswanath Dutta [https://bit.ly/3tCltTD CODO: an ontology for collection and analysis of multiparadigm COVID-19 data]
* [https://bit.ly/3w3icQ8 Video Recording]


== Previous Meetings ==
== Previous Meetings ==
{{#ask: [[Category:OntologySummit2022]] [[Category:Icom_conf_Conference]] [[<<ConferenceCall_2022_03_16]]
{{#ask: [[Category:OntologySummit2022]] [[Category:Icom_conf_Conference]] [[<<ConferenceCall_2022_]]
         |?|?Session|mainlabel=-|order=desc|limit=3}}
         |?|?Session|mainlabel=-|order=desc|limit=3}}
== Next Meetings ==
== Next Meetings ==
{{#ask: [[Category:OntologySummit2022]] [[Category:Icom_conf_Conference]] [[>>ConferenceCall_2022_03_16]]
{{#ask: [[Category:OntologySummit2022]] [[Category:Icom_conf_Conference]] [[>>ConferenceCall_2022_03_09]]
         |?|?Session|mainlabel=-|order=asc|limit=3}}
         |?|?Session|mainlabel=-|order=asc|limit=3}}


Latest revision as of 18:29, 16 December 2022

Session Knowledge Graph Approach to Combat COVID-19
Duration 1 hour
Date/Time 09 Mar 2022 17:00 GMT
9:00am PST/12:00pm EST
5:00pm GMT/6:00pm CET
Convener Ravi Sharma
Track Pandemics

Ontology Summit 2022 Knowledge Graph Approach to Combat COVID-19

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.

Agenda

  • Michael DeBellis Semantic Technology and the COVID-19 Pandemic Slides
    • Michael DeBellis is an independent researcher and consultant. Previously he was a partner with Deloitte Consulting and their eBusiness Chief Technology Officer. He also ran the Deloitte Western Region solution center lab in San Francisco. Prior to that he was a scientist at Accenture's Center for Strategic Technology and Research (CSTaR) where he was principal investigator for Accenture's Knowledge Based Software Assistant (KBSA) program. Prior to that he was a research associate at the Information Sciences Institute (ISI) and a senior staff in Accenture's Artificial Intelligence group. He has an MS degree in Computer Science from the University of Southern California and a BS/BA degree in computer science, psychology, and philosophy from the University of IL. at Chicago. His research interests include the Semantic Web, Knowledge Graphs, Software Engineering methods, and Evolutionary Psychology.
  • Biswanath Dutta CODO: an ontology for collection and analysis of multiparadigm COVID-19 data Slides
    • Biswanath Dutta is an Associate Professor at the Documentation Research and Training Centre (DRTC) of Computer and Communication Sciences Division of the Indian Statistical Institute (ISI), Bangalore Centre, INDIA. He holds a Bachelors's degree in Physics (1999) and a Bachelors's degree in Library and Information Science (LIS) (2000). He holds a master's degree in LIS from ISI Bangalore (2003) and has obtained a Ph.D. degree in LIS from the University of Pune (India), 2010 for his research conducted in ISI Bangalore. His area of study was online learning systems and semantic technologies. He was a Post-Doctoral Fellow at the Department of Information Engineering and Computer Science (DISI) of University of Trento, Italy (2009-2012). He has worked as a research assistant at the Department of Computer Science, Dalhousie University, Halifax, Canada. He has visited Interactive Media Lab, University of Toronto, Canada, and Max Plank Institut Informatic (MPII), Germany. He has actively worked on a European Commission funded research project ‘LivingKnowledge: LivingKnowledge - Facts, Opinions, and Bias in Time’ [1]. He has worked in ITPAR II and III. Currently, he is handling (as a PI) a research project on COVID-19 and knowledge graph funded by Indian Statistical Institute, Kolkata [2]. He provides consultancy services to the industries. He currently serves as a secretary of the International Society for Knowledge Organization (ISKO) - India Chapter. He has published more than 50 scientific papers in national and international journals and conferences. He has four books to his credit. His current research interests lie in the areas of ontology, metadata, knowledge graph, data science, and semantic technologies (for more, visit [3]/).
  • Video Recording

Conference Call Information

  • Date: Wednesday, 09 Mar 2022
  • Start Time: 9:00am PST / 12:00pm EST / 6:00pm CET / 5:00pm GMT / 1700 UTC
  • 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
    • If the chat room is not available, then use the Zoom chat room.
  • One tap mobile

Attendees

Discussion

[12:14] RaviSharma: hello and welcome

[12:15] RaviSharma: Michael - What about Ramsidivir and others repurposed, did you keep track of these. Can you also follow groups where combinations of drugs are used, such as steroids interaction?

[12:17] RaviSharma: Michael - How do you use semantics in a query?

[12:22] Asiyah Lin: I'd like to say CIDO is an ontology rather than a vocabulary, maybe controlled vocabulary is more precise. And the whole OBO ontologies the same, should be more ontologies rather than vocabularies.

[12:23] RaviSharma: Are KGs a part of Property Graph?

[12:25] Asiyah Lin: Michael, your observation is correct. OWL has a higher request, it is more for a knowledge system, rather a data system.

[12:35] RaviSharma: For Dr Dutta - Are all types / combos of queries like the one you showed possible, for example multiple drugs used or by comorbidities and in another level which and which genes are affected?

[12:36] RaviSharma: For Both: How does virus genome interact with human genome? Are there any overlaps and overlays between them?

[12:42] RaviSharma: What distributions and other aspects of multivariate analysis are important in CODO?

[12:44] Gary Berg-Cross: CIDO reuses some OBO foundry work. Did CODO reuse the same work for vaccines, Dx, treatments etc.? How harmonized is CODO with CIDO?

[12:46] Gary Berg-Cross: What was the pattern used for weather situation?

[12:47] RaviSharma: How many individuals and institutes are collaborating now - active, informational and contributors and in analysis as well?

[12:49] Gary Berg-Cross: I now think of KG design methods as a hybrid that brings together data management methods with graph development methods that leverage ontology engineering methods. Worth a paper if anyone interested.....

[12:51] Gary Berg-Cross: The materials consulted slide is a rich one that would take time to understand.

[12:51] RaviSharma: Dr Dutta - Are you able to see gaps among different sources for example private, state and federal sources for same item in vocabulary or graph?

[12:55] Gary Berg-Cross: Understanding the relations you used in the work is critical. So for disease transmission/contact tracing you have "has close relationship with" between people.

[13:00] RaviSharma: Q for both - How can KG SQL developed by Ken Baclawski be used?

[13:13] Ram D. Sriram: Do you have a COVID disease ontology in your system. If so, what are its characteristics

[13:31] Gary Berg-Cross and Asiyah Lin: For real world data and evidence, please check out this group: OHDSI (https://www.ohdsi.org/) Observational Health Data Sciences and Informatics

Resources

Previous Meetings

 Session
ConferenceCall 2021 12 15Planning
ConferenceCall 2021 12 08Planning
ConferenceCall 2021 12 01Planning
... further results

Next Meetings

 Session
ConferenceCall 2022 03 16Semantic Agents
ConferenceCall 2022 03 23Risk
ConferenceCall 2022 03 30Synthesis
... further results
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