From OntologPSMW
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JanetSinger (Talk | contribs) (→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 | ||
| Line 80: | Line 80: | ||
***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
- Track A: forms, requirements, QA… (1A1)
- Track B: Definitions (Def) (1A2)
- Track C. Theoretical knowledge in XXI century. All theoretical texts are digital, so let's keep them structured semantically. (1A3)
- The system of sciences = sessions on the degree of formalization of different sciences. (1A3A)
- The system of technologies. = sessions on the degree of formalization of theoretical knowledge of different technologies. (1A3B)
- The theories of laws. = sessions on the degree of formalization of different law systems. (1A3C)
- Meta-ontology – beyond things and relationships: use of Uncertainties in entity and strengths in relationships Ravi Sharma (1D)
- 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)
- Prediction and warning (1H3A)
- Monitoring (1H3B)
- Emergency management (1H3C)
- Recovery management (1H3D)
- Sociology (1H3E)
- Taxonomy of disasters (1H3F)
- Financial disasters (1H3G)
- COVID-19 Pandemic (there are ontologies drafted for this -see below) (1H3H)
- Climate Change (1H3I)
- Wildfires (a start on this was made at the 2021 Summit) (1H3J)
- Floods (1H3K)
- Habitat loss (1H3L)
- Environmental pollution (1H3M)
- Space pollution and space weather (1H3N)
- Asteroids (1H3O)
- Information pollution (1H3P)
- 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)
- Role of ontologies in Complex Events Processing, Disasters, Emergency, Pandemic Management (1L)
- Tracks (1L1)
- Disaster attributes /Parameters (1L2)
- • Disasters Tracks reorganization (1L3)
- • COVID-19 Pandemic and ontologies (Ram Sriram and Ken Baclawski) (1L4)
- • Environment Disasters and ontologies (Gary Berg-Cross and Ravi Sharma) (1L5)
- • Space Disasters and Space Weather (Robert Rovetto and Gary Berg-Cross and Ravi Sharma) (1L6)
- • Information pollution (1L7)
- o Social media information validation (1L7A)
- Ontology for Systems Engineering, Systems Engineering of Ontologies (possible topic that arose from group discussion) (1M)
