Semantics - Revision history

Tom: /* Full Title or Meme */

2025-05-21T04:50:26Z

‎Full Title or Meme

Tom: /* Solutions */

2025-05-21T04:49:18Z

‎Solutions

Tom: /* Solutions */

2025-04-11T23:40:19Z

‎Solutions

Tom: /* Semantic Models */

2024-08-10T18:49:30Z

‎Semantic Models

Tom: /* Solutions */

2022-08-09T23:36:34Z

‎Solutions

Tom: /* General Semantics */

2022-08-09T23:34:44Z

‎General Semantics

Tom: /* General Semantics */

2022-08-09T18:27:58Z

‎General Semantics

Tom: /* Semantic Models */

2022-08-09T15:45:39Z

‎Semantic Models

Tom: /* Semantic Models */

2022-04-25T22:58:24Z

‎Semantic Models

Tom: /* Semantic Models */

2022-04-25T22:54:57Z

‎Semantic Models

@@ Line 1: / Line 1: @@
 ==Full Title or Meme==
-When an [[Entity]] can determine the "significance" of words in sentences.<ref>Webster's Third International Dictionary, Etymology of ''Semantics''</ref>
+When an [[Entity]] can determine the "significance" of words in sentences [or data structures].<ref>Webster's Third International Dictionary, Etymology of ''Semantics''</ref>
 ==Context==

← Older revision		Revision as of 04:49, 21 May 2025
Line 28:		Line 28:

	==Solutions==		==Solutions==
		+	* 2025-04-29 [https://medium.com/@paul_15561/rethinking-semantics-a-clearer-split-for-the-future-of-data-modeling-c94ee025dc87 Rethinking Semantics: A Clearer Split for the Future of Data Modeling] Paul Knowles
	* Controlled effort like [https://www.snomed.org/ SNOMED-CT] have worked will within the healthcare field to create a standardized set of categories. Naturally as knowledge expands the list of categories needs to expand as well.		* Controlled effort like [https://www.snomed.org/ SNOMED-CT] have worked will within the healthcare field to create a standardized set of categories. Naturally as knowledge expands the list of categories needs to expand as well.

@@ Line 23: / Line 23: @@
 ===General Semantics===
 This is a label for a school of thought originated by Alfred Korzybski in 1933. The core idea is that meanings arise from attempts to describe an event or objects in the real world. The label that is used acquires nuances of meaning as it is used by people, but in the end, it is just an attempt by people to categorize a collection of events or objects so that communications is possible. These collections can never be a precise as Plato would have you believe with his ideal forms. An example of the varying meaning of words used for human feelings was published by Batja Mesquita<ref>Nikhil Krishnan, ''Affective Disorder'' New Yorker (2022-08-08} p. 62ff</ref> where the idea of a constant set of names for human emotions was shown to be false. They emotions are separately collected by different cultures into different groups with different names.
 ==Solutions==

@@ Line 19: / Line 19: @@
 * The above article by Hitzler also notes that "shallow non-expressive schemas often used for linked data appeared to be a major obstacle to reusability and initial hopes that interlinks between datasets would somehow account for this weakness did not really seem to materialize."
 * Knowledge graphs with central control (unlike WikiData) are "usually understood to be much more internally consistent, and more tightly controlled, artifacts."
 ===General Semantics===
 This is a label for a school of thought originated by Alfred Korzybski in 1933. The core idea is that meanings arise from attempts to describe an event or objects in the real world. The label that is used acquires nuances of meaning as it is used by people, but in the end, it is just an attempt by people to categorize a collection of events or objects so that communications is possible. These collections can never be a precise as Plato would have you believe with his ideal forms. An example of the varying meaning of words used for human feelings was published by Batja Mesquita<ref>Nikhil Krishnan, ''Affective Disorder'' New Yorker (2022-08-08} p. 62ff</ref> where the idea of a constant set of names for human emotions was shown to be false. They emotions are separately collected by different cultures into different groups with different names.

@@ Line 23: / Line 23: @@
 ==Solutions==
-* Controlled effort like [https://www.snomed.org/ SNOMED-CT] have worked will within the healthcare field.
+* Controlled effort like [https://www.snomed.org/ SNOMED-CT] have worked will within the healthcare field to create a standardized set of categories. Naturally as knowledge expands the list of categories needs to expand as well.
 ==References==
 [[Category:Glossary]]

@@ Line 16: / Line 16: @@
 Overview'' (2004-02-10)  http://www.w3.org/TR/owl-features/</ref> which spawned an bewildering collection of data dictionaries which are ostentatiously called [[Ontology|Ontologies]] when what they are is just what their employers imagine the reality should be.
 * The result is not a collection of words that users of computer understand, but what the advertisers want them to see.
-* An alternate source of [[Ontology|Ontologies]] is the result of an [[Artificial Intelligence]] has determine what terms the training set is using. That might be closer to what the users that created the training set might want to know.<ref>Pascal Hitzler, ''A Review of the Semantic Web Field'' '''CACM 64''' No 2  pp. 76ff</ref> For an example see [https://www.wikidata.org/wiki/Wikidata:Main_Page WikiData] " a free and open knowledge base that can be read and edited by both humans and machines."
+* An alternate source of [[Ontology|Ontologies]] is the result of an [[Artificial Intelligence]] has determine what terms the training set is using. That might be closer to what the users that created the training set might want to know.<ref>Pascal Hitzler, ''A Review of the Semantic Web Field'' '''CACM 64''' No 2  pp. 76ff</ref> For an example see [https://www.wikidata.org/wiki/Wikidata:Main_Page WikiData] " a free and open knowledge base that can be read and edited by both humans and machines." In "2021-12-08: "Antanina Paulavičienė", the one hundred and ten millionth item, was created."
 ==References==
 [[Category:Glossary]]