Educational Series on Applied Ontology (ESAO)- Approaching soon!
Educational Series on Applied Ontology (ESAO) [1]
Tuesday, September 20, 2022 at
10:00 EDT / 14:00 UTC / 16:00 CEST/SAST via a Zoom meeting:
https://univ-tlse2.zoom.us/j/93738897633?pwd=R1k4bVdqSHA1ZEpXT2lkcXZyZWNyUT09
No registration needed; please find full connection details at the end of this message.
Program
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* 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
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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
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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@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
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Topic: 3rd ESAO session
Time: Sep 20, 2022 04:00 PM Paris
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