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Session Planning
Duration 1 hour
Date/Time 13 Oct 2021 16:00 GMT
9:00am PDT/12:00pm EDT
5:00pm BST/6:00pm CEST
Convener Ken Baclawski

Contents

Dealing with Disasters     (2A)

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.     (2B)

Agenda     (2C)

Ontology Summit 2022 Theme and Tracks     (2D)

Theme: Dealing with Disasters     (2D1)

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. This summit will examine the role that ontologies can play in disasters. The first track will be an overview of the notion of disaster. The other tracks will examine how the different kinds of disaster are employing ontologies.     (2D2)

  • Track 1: Disaster attributes     (2D4)
    • There are several incompatible definitions for the notion of disaster and for related terminology by national and international agencies.     (2D4A)
    • The information needed for the complex events of predicting, monitoring, mitigating and managing disasters and risks is complex and spans many organizations (both governmental and non-governmental), countries, languages and cultures.     (2D4B)
    • Some examples of disaster attributes include: geo-temporal extent, categories of risks and types of disasters, and sources, such as natural and deliberate.     (2D4C)
  • Track 2: Pandemics     (2D5)
    • Ongoing pandemics include tuberculosis, HIV/AIDS and COVID-19.     (2D5A)
  • Track 3: Environment Disasters     (2D6)
    • Examples include climate change, environmental pollution, wildfires, floods and habitat loss.     (2D6A)
  • Track 4: Space Disasters     (2D7)

Conference Call Information     (2E)

Attendees     (2F)

Discussion     (2G)

[12:25] AlexShkotin: Let me answer to Janet and all after meeting in ontolog-forum google group     (2G1)

[12:32] Gary Berg-Cross: Some background for the Disaster and Risk topic(s) It involves Situations, participation and roles for example.     (2G2)

  • There are many ontologies for different types of disasters. For example An Overview of Biomedical Ontologies for Pandemics and Infectious Diseases Representation Leila Bayoudhia.     (2G3)
  • The high level model has 3 things:     (2G4)
    • The Agent answers the question what causes the infectious disease?. It can be a microorganism, a pathogen, a virus, a bacterium, a parasite, or other microbes. SARS-CoV and SARS-CoV-2 are examples of such agents.     (2G4A)
    • The host is the organism which answers the question who can be infected by a disease agent?. It can be a human or an animal.     (2G4B)
    • The third is the environment     (2G4C)
  • A major type of disasters concerns Disease. Early work includes Disease Ontology: a backbone for disease semantic integration. (Reference: Schriml, Lynn)     (2G5)
  • More recent work concerns COVID-19 ontologies.     (2G6)

The pandemic has prompted an impressive, worldwide response by the academic community. In order to support text mining approaches as well as data description, linking and harmonization in the context of COVID-19, we have developed an ontology representing major novel coronavirus (SARS-CoV-2) entities. The ontology has a strong scope on chemical entities suited for drug repurposing, as this is a major target of ongoing COVID-19 therapeutic development.     (2G7)

  • The disaster topic also involves complex events as part to disaster situations.     (2G8)

[12:41] Robert Rovetto: If the topic of space (astro) was the question, then yes I have input because it is a focus area. Please see https://purl.org/space-ontology (Seeking support in form of formal work collaborations, a PhD studentship for myself, or sponsors since 2011. Please contact.)     (2G9)

[12:48] Robert Rovetto: re:disaster topics...I can also contribute to this, but in specific areas. I'm informed on data-sources and data content in those areas. I'm a subject matter expert in specific emergency response areas because I have training in very specific types of emergency first-response (in specific environments) through my volunteering. Aside from space, this emergency topic is a passion, and I can serve in it. I also have ontologies and papers on the shelf (open to support to sustainably develop).     (2G10)

[12:50] Robert Rovetto: There should not be an OBO bias or focus...nor any other bias for a particular group or methodology.     (2G11)

[12:52] Robert Rovetto: very good point about different countries, languages, vocabularies     (2G12)

[12:52] RaviSharma: so the topic of Disasters and risks has to be tied to ontology and topics have to be filtered     (2G13)

[12:53] RaviSharma: there is there a notion of risk lifecycle implied?     (2G14)

[12:55] Robert Rovetto: Re:the disaster topic list on the webpage...one sub-topic is space pollution. Please see my ontology articles on that topic (e.g., An Ontological Architecture of Orbital Debris Data (2015), and Orbital Debris Ontology, Terminology and Knowledge Modeling (2019/20)     (2G15)

[12:59] Robert Rovetto: FYI: in some IAOA groups, we are exploring concepts/themes/types/definitions of ontology     (2G16)

[13:02] AlexShkotin: Robert, how to join IAOA groups?     (2G17)

Ken Baclawski: For information about the IAOA groups see https://iaoa.org/index.php/organization/scientific-committees/     (2G18)

The IAOA groups are on the IAOA Wiki at wiki.iaoa.org     (2G19)

Resources     (2H)

Previous Meetings     (2I)


Next Meetings     (2J)