File:OmniXenus to Dr Prueitt 2025-01-13.mp3 - Revision history

XenoEngineer at 20:56, 13 January 2025

2025-01-13T20:56:27Z

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			{{menuUnderstandingModel}}
			{{menuUMOmniXenus}}
	== Summary ==		== Summary ==
	[[Category:Understanding Model]]		[[Category:Understanding Model]]

XenoEngineer at 19:24, 13 January 2025

2025-01-13T19:24:18Z

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	;Audio MP3: (ElevenLabs TTS) https://groupkos.com/dev/images/OmniXenus_to_Dr_Prueitt_2025-01-13.mp3		;Audio MP3: (ElevenLabs TTS) https://groupkos.com/dev/images/OmniXenus_to_Dr_Prueitt_2025-01-13.mp3
			;Source text: [[On the Emergence of Understanding: An Open Letter to Dr. Paul Stephen Prueitt]]

	==Reference==		==Reference==

XenoEngineer at 19:22, 13 January 2025

2025-01-13T19:22:23Z

← Older revision		Revision as of 19:22, 13 January 2025
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	;by [[User:XenoEngineer\|XenoEngineer]]		;by [[User:XenoEngineer\|XenoEngineer]]

			;Audio MP3: (ElevenLabs TTS) https://groupkos.com/dev/images/OmniXenus_to_Dr_Prueitt_2025-01-13.mp3

	==Reference==		==Reference==

XenoEngineer: /* Reference */

2025-01-13T19:19:35Z

Reference

← Older revision		Revision as of 19:19, 13 January 2025
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	==Reference==		==Reference==
	* Chapter 4-Ontology Based Understanding		:* ''Chapter 4-Ontology Based Document Understanding'' 1996
	;Excerpt		;* Excerpt
	<pre style="margin-left:3em; font:normal 14px terminal;">Ontology Based Document Understanding		<pre style="margin-left:3em; font:normal 14px terminal;">

			Ontology Based Document Understanding

	Notate 96 Conference		Notate 96 Conference
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	This paper is modified from a chapter in "Knowledge Processing, A new toolset for Data Mining", an internal Highland Technologies document. The paper starts out by delineating the basis for ontology based document understanding. The first two sections address hard questions in knowledge representation. We have tried to present this material in such a way as to enable the first time reader to move ahead to the later sections. These sections can be skipped on first reading, but their content is required to understand the full import of the material that follows. The third section maps out the extraction of theme vectors from Oracle's ConText NLP product and links natural language processing to the formation of a class of natural kind. The fourth section is on the use of formal models as defined by Dmitri Pospelov. The fifth section walks the path required to produce a formal model from the linguistic analysis of text. The next two sections briefly treat the issues of (1) multiple ontology and (2) knowledge processing units as a classification engine. The last section introduces the procedure for constructing a periodic table of subfeatures for a given class of situations.		This paper is modified from a chapter in "Knowledge Processing, A new toolset for Data Mining", an internal Highland Technologies document. The paper starts out by delineating the basis for ontology based document understanding. The first two sections address hard questions in knowledge representation. We have tried to present this material in such a way as to enable the first time reader to move ahead to the later sections. These sections can be skipped on first reading, but their content is required to understand the full import of the material that follows. The third section maps out the extraction of theme vectors from Oracle's ConText NLP product and links natural language processing to the formation of a class of natural kind. The fourth section is on the use of formal models as defined by Dmitri Pospelov. The fifth section walks the path required to produce a formal model from the linguistic analysis of text. The next two sections briefly treat the issues of (1) multiple ontology and (2) knowledge processing units as a classification engine. The last section introduces the procedure for constructing a periodic table of subfeatures for a given class of situations.

			Source: http://www.acsa2000.net/notion_l.html
	</pre>		</pre>

XenoEngineer: Category:Understanding Model Category:UM Category:TTS Category:Paul S. Prueitt ;by XenoEngineer ==Reference== * Chapter 4-Ontology Based Understanding ;Excerpt

Ontology Based Document Understanding

Notate 96 Conference


Paul S. Prueitt, PhD

Senior Scientist
Knowledge Processing Project
Highland Technologies Inc.

paul@htech.com


This paper is modified from a chapter in "Knowledge Processing, A...

2025-01-13T19:15:51Z

Category:Understanding Model Category:UM Category:TTS Category:Paul S. Prueitt ;by XenoEngineer ==Reference== * Chapter 4-Ontology Based Understanding ;Excerpt <pre style="margin-left:3em; font:normal 14px terminal;">Ontology Based Document Understanding Notate 96 Conference Paul S. Prueitt, PhD Senior Scientist Knowledge Processing Project Highland Technologies Inc. paul@htech.com This paper is modified from a chapter in "Knowledge Processing, A...

New page

== Summary ==
[[Category:Understanding Model]]
[[Category:UM]]
[[Category:TTS]]
[[Category:Paul S. Prueitt]]

;by [[User:XenoEngineer|XenoEngineer]]

==Reference==
* Chapter 4-Ontology Based Understanding
;Excerpt
<pre style="margin-left:3em; font:normal 14px terminal;">Ontology Based Document Understanding

Notate 96 Conference

Paul S. Prueitt, PhD

Senior Scientist
Knowledge Processing Project
Highland Technologies Inc.

paul@htech.com

This paper is modified from a chapter in "Knowledge Processing, A new toolset for Data Mining", an internal Highland Technologies document. The paper starts out by delineating the basis for ontology based document understanding. The first two sections address hard questions in knowledge representation. We have tried to present this material in such a way as to enable the first time reader to move ahead to the later sections. These sections can be skipped on first reading, but their content is required to understand the full import of the material that follows. The third section maps out the extraction of theme vectors from Oracle's ConText NLP product and links natural language processing to the formation of a class of natural kind. The fourth section is on the use of formal models as defined by Dmitri Pospelov. The fifth section walks the path required to produce a formal model from the linguistic analysis of text. The next two sections briefly treat the issues of (1) multiple ontology and (2) knowledge processing units as a classification engine. The last section introduces the procedure for constructing a periodic table of subfeatures for a given class of situations.

</pre>