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(Ontology Summit Theme Suggestions)
(Ontology Summit Theme Suggestions)
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*** Habitat loss
 
*** Habitat loss
 
*** Environmental pollution
 
*** Environmental pollution
*** Space pollution and space weather
+
*** Space pollution and space weather  
 
*** Asteroids
 
*** Asteroids
 
*** Information pollution
 
*** Information pollution
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***o Floods     
 
***o Floods     
 
***o Habitat loss   
 
***o Habitat loss   
**• Space Disasters and Space Weather (Gary Berg-Cross and Ravi Sharma)
+
**• Space Disasters and Space Weather (Robert Rovetto and Gary Berg-Cross and Ravi Sharma)
***o Debris
+
***o Debris ([[RobertRovetto|Robert Rovetto]])
***o Satellites of future Deorbit capabilities and recovery Satellites
+
***o Satellites of future Deorbit capabilities and recovery Satellites ([[RobertRovetto|Robert Rovetto]])
 
***o Asteroids / Comets    ?
 
***o Asteroids / Comets    ?
 
***o Geomagnetic Storms, Solar Radiation Storms & Radio Blackouts (radio propagation anomalies due to ionospheric changes etc.)
 
***o Geomagnetic Storms, Solar Radiation Storms & Radio Blackouts (radio propagation anomalies due to ionospheric changes etc.)

Revision as of 17:31, 20 October 2021

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Ontology Summit Theme Suggestions     (1)

  • Formal Ontology (FO) as a computer-based artifact Alex Shkotin     (1A)
  • Ontology use in computational brain and neuroscience of information models Ravi Sharma     (1B)
  • AI Solutions using ontology: (Tracks) Ravi Sharma     (1C)
  • Meta-ontology – beyond things and relationships: use of Uncertainties in entity and strengths in relationships Ravi Sharma     (1D)
  • Can ontologies filter and detect complex events? Ravi Sharma     (1E)
  • Ontologies - value demonstration - during Covid-19 and variants? Ravi Sharma     (1F)
  • Ontology for monitoring democracies, civil societies, ethics and environment. Ravi Sharma     (1G)
  • Disasters and Risks Gary Berg-Cross     (1H)
    • 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.     (1H1)
    • Communication in real time is important for emergency response by many groups with severe time constraints.     (1H2)
    • Some potential tracks and sessions vary by where in the lifecycle of risks and disasters we are or by type of disaster situation we have:     (1H3)
    • Related material:     (1H4)
      • The COVID-19 Ontology     (1H4A)
        • 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.     (1H4A1)
        • A disease model is framed by 3 high level concepts - The Agent addresses “what causes a disease like an 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. The 2nd concept is that of the host - the organism which answers the question “who can be infected by a disease agent?”. It can be a human or an animal. The last concept is the environment.     (1H4A2)
  • Revisiting the 2007 Ontology Summit Challenge Janet Singer     (1I)
    • Fifteen years on, what can we bring to answering this challenge from 2007?     (1I1)
      • ”Our objective is to define and agree to a systematic means of categorizing the many kinds of things that fall broadly within the "ontology" spectrum. By doing so, the research, development and Internet communities would have a better way of comparing, combining and mapping ontologies to one another (apples to apples). The range of what people call "ontologies" covers folksonomies, taxonomies, thesauri, conceptual models, and formal logic-based models to name just a few flavors.”     (1I1A)
    • The success at converging on the 3-part definition for knowledge graphs in the 2020 communiqué suggests an approach for resolving previously insurmountable issues.     (1I2)
  • Attempt at creating an example of Topic and Tracks (Ravi Sharma)     (1J)

Synthesis of few suggested topics in a theme     (1K)