[PlanetKR] 3rd ESAO Webinar, September 20, 2022 (10:00 EDT / 14:00 UTC / 16:00 CEST/SAST) - Call for Participation

[Frank Loebe]

The Educational Series on Applied Ontology (ESAO) [1] is open for 
everyone and welcomes students, researchers and practitioners alike.

--> The third of its regular webinar sessions will be held on

     Tuesday, September 20, 2022 at
     10:00 EDT / 14:00 UTC / 16:00 CEST/SAST via a Zoom meeting:

     Meeting ID: 937 3889 7633 Passcode: 837126
 
https://univ-tlse2.zoom.us/j/93738897633?pwd=R1k4bVdqSHA1ZEpXT2lkcXZyZWNyUT09

No registration needed; please find full connection details at the end 
of this message.


Program
-------

* 10:00-10:30 EDT / 14:00-14:30 UTC / 16:00-16:30 CEST/SAST

   Torsten Hahmann
   School of Computing and Information Science, University of Maine

   "Where am I? Spatial knowledge in ontologies"

   Abstract: Many of the things we describe in ontologies are objects or 
processes located in physical space. Examples of questions with a 
location or other spatial component include: Where is the start of the 
trail? What is the address I need to go to? Where again did I put my 
keys? How large is the property? Where is the conference happening? 
Where did you see the whale? To capture such spatial information, 
ontologies provide a variety of mechanisms that range from vague, 
qualitative descriptions (e.g. "after the bridge", "on my desk", "in the 
Gulf of Maine"), to more precise locations ("947 Broadway", "Sherbrooke 
(QC)") or even quantitative description ("1km East from here", "400 sq 
m"). This talk will take the listener through different ways that are 
available to describe space and locations that range from concepts 
provided by top-level ontologies to more specialized spatial and 
geospatial ontologies for the Semantic Web.


* 10:30-11:00 EDT / 14:30-15:00 UTC / 16:30-17:00 CEST/SAST

   Janna Hastings
   School of Medicine, University of St. Gallen, and the Institute for 
Implementation Science in Health Care, University of Zurich

   "The role of ontologies in data science in support of discovery research"

   Abstract: Data science encompasses a wide range of methods which aim 
to interpret and extract meaning, and new knowledge, from data. For 
data-driven discovery research, the quality and suitability of the 
statistical approaches are usually the focus of efforts to derive new 
knowledge, while ontologies are assumed to be relevant mainly for 
purposes of standardisation and exchange of existing knowledge, i.e. 
subsequent to the discovery process. In this presentation, I will 
discuss the role of ontologies and other pre-existing formal 
representations of knowledge in the science of making new discoveries 
from data, why this role is often overlooked, and how this might change 
as the science of the future becomes better integrated between humans 
and machines. I will illustrate with some examples taken from different 
domains: metabolism and behaviour.


Series Description
------------------

The IAOA [2] has created ESAO [1], a new educational effort directed 
towards topics of Applied Ontology, primarily established basics and 
foundations.

The series is inspired by the Interdisciplinary Schools on Applied 
Ontology (ISAO) [3] (whose next edition will be held in 2023). ESAO is 
complementary in format and its overall approach. The goal is to provide 
a combination of an archive of educational material (e.g., short video 
lectures) and a series of webinars for presenting and discussing that 
material.


Organization
------------

Members of the Education Technical Committee of IAOA [2] and among those 
primarily (in alphabetical order):

* Lucía Gómez Álvarez
* Frank Loebe
* Sandra Lovrenčić
* Cassia Trojahn (Chair)
* Laure Vieu


Contact
E-Mail: info at iaoa.org


[1] Educational Series on Applied Ontology
https://wiki.iaoa.org/index.php/Edu:ESAO

[2] IAOA website
https://iaoa.org/

[3] ISAO History page
https://iaoa.org/index.php/isao-history/


Connection Details
------------------

Topic: 3rd ESAO session
Time: Sep 20, 2022 04:00 PM Paris

Join Zoom Meeting
https://univ-tlse2.zoom.us/j/93738897633?pwd=R1k4bVdqSHA1ZEpXT2lkcXZyZWNyUT09

Meeting ID: 937 3889 7633
Passcode: 837126

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