ConferenceCall 2025 01 29 - Revision history

Forum: /* Discussion */

2025-01-30T20:08:07Z

Discussion

← Older revision		Revision as of 20:08, 30 January 2025
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	13:18:14 João Paulo A. Almeida: Bye all, thanks!<br/>		13:18:14 João Paulo A. Almeida: Bye all, thanks!<br/>

	13:18:20 jfdel: Boils down to what?~~<br/>~~		13:18:20 jfdel: Boils down to what?


	== Resources ==		== Resources ==

Forum at 20:04, 30 January 2025

2025-01-30T20:04:05Z

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 {{:OntologySummit2025/ConferenceCallInformation}}
-== Participants ==
+== Discussion ==
 == Resources ==

Forum: /* Resources */

2025-01-29T21:49:22Z

Resources

← Older revision		Revision as of 21:49, 29 January 2025
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	* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-1/Explanation%2C+Semantics%2C+and+Ontology--GiancarloGuizzardi_20250129.pdf Slides for <i>Explanation, Semantics, and Ontology</i>]		* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-1/Explanation%2C+Semantics%2C+and+Ontology--GiancarloGuizzardi_20250129.pdf Slides for <i>Explanation, Semantics, and Ontology</i>]
	* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-1/Explanation%2C+Semantics%2C+and+Ontology--GiancarloGuizzardi_20250129.mp4 Video Recording for <i>Explanation, Semantics, and Ontology</i>]		* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-1/Explanation%2C+Semantics%2C+and+Ontology--GiancarloGuizzardi_20250129.mp4 Video Recording for <i>Explanation, Semantics, and Ontology</i>]
			* [https://youtu.be/XkAd7EkGJAw YouTube Video for <i>Explanation, Semantics, and Ontology</i>]

	== Previous Meetings ==		== Previous Meetings ==

Forum: /* Resources */

2025-01-29T21:42:35Z

Resources

← Older revision		Revision as of 21:42, 29 January 2025
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	== Resources ==		== Resources ==
	* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-1/Explanation%2C+Semantics%2C+and+Ontology--GiancarloGuizzardi_20250129.pdf Slides for <i>Explanation, Semantics, and Ontology</i>]		* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-1/Explanation%2C+Semantics%2C+and+Ontology--GiancarloGuizzardi_20250129.pdf Slides for <i>Explanation, Semantics, and Ontology</i>]
			* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-1/Explanation%2C+Semantics%2C+and+Ontology--GiancarloGuizzardi_20250129.mp4 Video Recording for <i>Explanation, Semantics, and Ontology</i>]

	== Previous Meetings ==		== Previous Meetings ==

Forum: /* Agenda */

2025-01-29T21:41:36Z

Agenda

← Older revision		Revision as of 21:41, 29 January 2025
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	* Abstract: It is well-known by now that, of the so-called 4Vs of Big Data (Velocity, Volume, Variety and Veracity), the bulk of effort and challenge is in the latter two: (1) data comes in a large variety of representations (both from a syntactic and semantic point of view); (2) data can only be useful if truthful to the part of reality that it is supposed to represent. Moreover, the most relevant questions we need to have answered in science, government and organizations can only be answered if we put together data that reside in different data silos, which are produced in a concurrent manner by different agents and in different points of time and space. Thus, data is only useful in practice if it can (semantically) interoperate with other data. Every data schema represents a certain conceptualization, i.e., it makes an ontological commitment to a certain worldview. Issue (2) is about understanding the relation between data schemas and their underlying conceptualizations. Issue (1) is about safely connecting these different conceptualisations represented in different schemas. To address (1) and (2), we need to be able to properly explain these data schemas, i.e., to reveal the real-world semantics (or the ontological commitments) behind them. In this talk, I discuss the strong relation between the notions of real-world semantics, ontology, and explanation. I will present a notion of explanation termed Ontological Unpacking, which aims at explaining symbolic representation artifacts (conceptual models connected to data schemas, knowledge graphs, logical specifications). I show that these artifacts when produced by Ontological Unpacking differ from their traditional counterparts not only in their expressivity but also on their nature: while the latter typically merely have a descriptive nature, the former have an explanatory one. Moreover, I show that it is exactly this explanatory nature that is required for semantic interoperability. I will also discuss the relation between Ontological Unpacking and other forms of explanation in philosophy and science, as well as in Artificial Intelligence. I will argue that the current trend in XAI (Explainable AI) in which “to explain is to produce a symbolic artifact” (e.g., a decision tree or a counterfactual description) is an incomplete project resting on a false assumption, that these artifacts are not “inherently interpretable”, and that they should be taken as the beginning of the road to explanation, not the end. This talk is based on the following paper: https://www.sciencedirect.com/science/article/pii/S0169023X24000491		* Abstract: It is well-known by now that, of the so-called 4Vs of Big Data (Velocity, Volume, Variety and Veracity), the bulk of effort and challenge is in the latter two: (1) data comes in a large variety of representations (both from a syntactic and semantic point of view); (2) data can only be useful if truthful to the part of reality that it is supposed to represent. Moreover, the most relevant questions we need to have answered in science, government and organizations can only be answered if we put together data that reside in different data silos, which are produced in a concurrent manner by different agents and in different points of time and space. Thus, data is only useful in practice if it can (semantically) interoperate with other data. Every data schema represents a certain conceptualization, i.e., it makes an ontological commitment to a certain worldview. Issue (2) is about understanding the relation between data schemas and their underlying conceptualizations. Issue (1) is about safely connecting these different conceptualisations represented in different schemas. To address (1) and (2), we need to be able to properly explain these data schemas, i.e., to reveal the real-world semantics (or the ontological commitments) behind them. In this talk, I discuss the strong relation between the notions of real-world semantics, ontology, and explanation. I will present a notion of explanation termed Ontological Unpacking, which aims at explaining symbolic representation artifacts (conceptual models connected to data schemas, knowledge graphs, logical specifications). I show that these artifacts when produced by Ontological Unpacking differ from their traditional counterparts not only in their expressivity but also on their nature: while the latter typically merely have a descriptive nature, the former have an explanatory one. Moreover, I show that it is exactly this explanatory nature that is required for semantic interoperability. I will also discuss the relation between Ontological Unpacking and other forms of explanation in philosophy and science, as well as in Artificial Intelligence. I will argue that the current trend in XAI (Explainable AI) in which “to explain is to produce a symbolic artifact” (e.g., a decision tree or a counterfactual description) is an incomplete project resting on a false assumption, that these artifacts are not “inherently interpretable”, and that they should be taken as the beginning of the road to explanation, not the end. This talk is based on the following paper: https://www.sciencedirect.com/science/article/pii/S0169023X24000491
	* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-1/Explanation%2C+Semantics%2C+and+Ontology--GiancarloGuizzardi_20250129.pdf Slides]		* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-1/Explanation%2C+Semantics%2C+and+Ontology--GiancarloGuizzardi_20250129.pdf Slides]
			* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-1/Explanation%2C+Semantics%2C+and+Ontology--GiancarloGuizzardi_20250129.mp4 Video Recording]

	== Conference Call Information ==		== Conference Call Information ==

Forum at 20:29, 29 January 2025

2025-01-29T20:29:09Z

← Older revision		Revision as of 20:29, 29 January 2025
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	* Title: "Explanation, Semantics, and Ontology"		* Title: "Explanation, Semantics, and Ontology"
	* Abstract: It is well-known by now that, of the so-called 4Vs of Big Data (Velocity, Volume, Variety and Veracity), the bulk of effort and challenge is in the latter two: (1) data comes in a large variety of representations (both from a syntactic and semantic point of view); (2) data can only be useful if truthful to the part of reality that it is supposed to represent. Moreover, the most relevant questions we need to have answered in science, government and organizations can only be answered if we put together data that reside in different data silos, which are produced in a concurrent manner by different agents and in different points of time and space. Thus, data is only useful in practice if it can (semantically) interoperate with other data. Every data schema represents a certain conceptualization, i.e., it makes an ontological commitment to a certain worldview. Issue (2) is about understanding the relation between data schemas and their underlying conceptualizations. Issue (1) is about safely connecting these different conceptualisations represented in different schemas. To address (1) and (2), we need to be able to properly explain these data schemas, i.e., to reveal the real-world semantics (or the ontological commitments) behind them. In this talk, I discuss the strong relation between the notions of real-world semantics, ontology, and explanation. I will present a notion of explanation termed Ontological Unpacking, which aims at explaining symbolic representation artifacts (conceptual models connected to data schemas, knowledge graphs, logical specifications). I show that these artifacts when produced by Ontological Unpacking differ from their traditional counterparts not only in their expressivity but also on their nature: while the latter typically merely have a descriptive nature, the former have an explanatory one. Moreover, I show that it is exactly this explanatory nature that is required for semantic interoperability. I will also discuss the relation between Ontological Unpacking and other forms of explanation in philosophy and science, as well as in Artificial Intelligence. I will argue that the current trend in XAI (Explainable AI) in which “to explain is to produce a symbolic artifact” (e.g., a decision tree or a counterfactual description) is an incomplete project resting on a false assumption, that these artifacts are not “inherently interpretable”, and that they should be taken as the beginning of the road to explanation, not the end. This talk is based on the following paper: https://www.sciencedirect.com/science/article/pii/S0169023X24000491		* Abstract: It is well-known by now that, of the so-called 4Vs of Big Data (Velocity, Volume, Variety and Veracity), the bulk of effort and challenge is in the latter two: (1) data comes in a large variety of representations (both from a syntactic and semantic point of view); (2) data can only be useful if truthful to the part of reality that it is supposed to represent. Moreover, the most relevant questions we need to have answered in science, government and organizations can only be answered if we put together data that reside in different data silos, which are produced in a concurrent manner by different agents and in different points of time and space. Thus, data is only useful in practice if it can (semantically) interoperate with other data. Every data schema represents a certain conceptualization, i.e., it makes an ontological commitment to a certain worldview. Issue (2) is about understanding the relation between data schemas and their underlying conceptualizations. Issue (1) is about safely connecting these different conceptualisations represented in different schemas. To address (1) and (2), we need to be able to properly explain these data schemas, i.e., to reveal the real-world semantics (or the ontological commitments) behind them. In this talk, I discuss the strong relation between the notions of real-world semantics, ontology, and explanation. I will present a notion of explanation termed Ontological Unpacking, which aims at explaining symbolic representation artifacts (conceptual models connected to data schemas, knowledge graphs, logical specifications). I show that these artifacts when produced by Ontological Unpacking differ from their traditional counterparts not only in their expressivity but also on their nature: while the latter typically merely have a descriptive nature, the former have an explanatory one. Moreover, I show that it is exactly this explanatory nature that is required for semantic interoperability. I will also discuss the relation between Ontological Unpacking and other forms of explanation in philosophy and science, as well as in Artificial Intelligence. I will argue that the current trend in XAI (Explainable AI) in which “to explain is to produce a symbolic artifact” (e.g., a decision tree or a counterfactual description) is an incomplete project resting on a false assumption, that these artifacts are not “inherently interpretable”, and that they should be taken as the beginning of the road to explanation, not the end. This talk is based on the following paper: https://www.sciencedirect.com/science/article/pii/S0169023X24000491
			* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-1/Explanation%2C+Semantics%2C+and+Ontology--GiancarloGuizzardi_20250129.pdf Slides]

	== Conference Call Information ==		== Conference Call Information ==
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	== Resources ==		== Resources ==
			* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-1/Explanation%2C+Semantics%2C+and+Ontology--GiancarloGuizzardi_20250129.pdf Slides for <i>Explanation, Semantics, and Ontology</i>]

	== Previous Meetings ==		== Previous Meetings ==

Forum at 07:59, 27 January 2025

2025-01-27T07:59:01Z

← Older revision		Revision as of 07:59, 27 January 2025
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	== Agenda ==		== Agenda ==
	'''[[GiancarloGuizzardi\|Giancarlo Guizzardi]]'''		'''[[GiancarloGuizzardi\|Giancarlo Guizzardi]]'''
			* Title: "Explanation, Semantics, and Ontology"
			* Abstract: It is well-known by now that, of the so-called 4Vs of Big Data (Velocity, Volume, Variety and Veracity), the bulk of effort and challenge is in the latter two: (1) data comes in a large variety of representations (both from a syntactic and semantic point of view); (2) data can only be useful if truthful to the part of reality that it is supposed to represent. Moreover, the most relevant questions we need to have answered in science, government and organizations can only be answered if we put together data that reside in different data silos, which are produced in a concurrent manner by different agents and in different points of time and space. Thus, data is only useful in practice if it can (semantically) interoperate with other data. Every data schema represents a certain conceptualization, i.e., it makes an ontological commitment to a certain worldview. Issue (2) is about understanding the relation between data schemas and their underlying conceptualizations. Issue (1) is about safely connecting these different conceptualisations represented in different schemas. To address (1) and (2), we need to be able to properly explain these data schemas, i.e., to reveal the real-world semantics (or the ontological commitments) behind them. In this talk, I discuss the strong relation between the notions of real-world semantics, ontology, and explanation. I will present a notion of explanation termed Ontological Unpacking, which aims at explaining symbolic representation artifacts (conceptual models connected to data schemas, knowledge graphs, logical specifications). I show that these artifacts when produced by Ontological Unpacking differ from their traditional counterparts not only in their expressivity but also on their nature: while the latter typically merely have a descriptive nature, the former have an explanatory one. Moreover, I show that it is exactly this explanatory nature that is required for semantic interoperability. I will also discuss the relation between Ontological Unpacking and other forms of explanation in philosophy and science, as well as in Artificial Intelligence. I will argue that the current trend in XAI (Explainable AI) in which “to explain is to produce a symbolic artifact” (e.g., a decision tree or a counterfactual description) is an incomplete project resting on a false assumption, that these artifacts are not “inherently interpretable”, and that they should be taken as the beginning of the road to explanation, not the end. This talk is based on the following paper: https://www.sciencedirect.com/science/article/pii/S0169023X24000491

	== Conference Call Information ==		== Conference Call Information ==

Forum: Created page with "{| class="wikitable" style="float:right; margin-left: 10px;" border="1" cellpadding="10" |- ! scope="row" | Session | session::Track 1 |- ! scope="row" | Duration | duration::1 hour |- ! scope="row" rowspan="3" | Date/Time | has date::29 Jan 2025 17:00 GMT |- | 9:00am PST/12:00pm EST |- | 5:00pm GMT/6:00pm CET |- ! scope="row" | Convener | Gary Berg-Cross |} = Ontology Summit 2025 {{#show:{{PAGENAME}}|?sessi..."

2025-01-13T03:01:59Z

Created page with "{| class="wikitable" style="float:right; margin-left: 10px;" border="1" cellpadding="10" |- ! scope="row" | Session | session::Track 1 |- ! scope="row" | Duration | duration::1 hour |- ! scope="row" rowspan="3" | Date/Time | has date::29 Jan 2025 17:00 GMT |- | 9:00am PST/12:00pm EST |- | 5:00pm GMT/6:00pm CET |- ! scope="row" | Convener | Gary Berg-Cross |} = Ontology Summit 2025 {{#show:{{PAGENAME}}|?sessi..."

New page

{| class="wikitable" style="float:right; margin-left: 10px;" border="1" cellpadding="10"
|-
! scope="row" | Session
| [[session::Track 1]]
|-
! scope="row" | Duration
| [[duration::1 hour]]
|-
! scope="row" rowspan="3" | Date/Time
| [[has date::29 Jan 2025 17:00 GMT]]
|-
| 9:00am PST/12:00pm EST
|-
| 5:00pm GMT/6:00pm CET
|-
! scope="row" | Convener
| [[convener::GaryBergCross|Gary Berg-Cross]]
|}

= [[OntologySummit2025|Ontology Summit 2025]] {{#show:{{PAGENAME}}|?session}} =

== Agenda ==
'''[[GiancarloGuizzardi|Giancarlo Guizzardi]]'''

== Conference Call Information ==
* Date: '''Wednesday, 29 January 2025'''
* Start Time: 9:00am PST / 12:00pm EST / 6:00pm CET / 5:00pm GMT / 1700 UTC
** ref: [http://www.timeanddate.com/worldclock/fixedtime.html?month=1&day=29&year=2025&hour=12&min=00&sec=0&p1=179 World Clock]
* Expected Call Duration: 1 hour
{{:OntologySummit2025/ConferenceCallInformation}}

== Participants ==

== Discussion ==

== Resources ==

== Previous Meetings ==
{{#ask: [[Category:OntologySummit2025]] [[Category:Icom_conf_Conference]] [[<<ConferenceCall_2025_01_28]]
|?|?Session|mainlabel=-|order=desc|limit=3}}

== Next Meetings ==
{{#ask: [[Category:OntologySummit2025]] [[Category:Icom_conf_Conference]] [[>>ConferenceCall_2025_01_30]]
|?|?Session|mainlabel=-|order=asc|limit=3}}

[[Category:OntologySummit2025]]
[[Category:Icom_conf_Conference]]
[[Category:Occurrence| ]]