Semantic Data Modeling - Revision history

User at 13:20, 28 December 2022

2022-12-28T13:20:32Z

User at 13:14, 28 December 2022

2022-12-28T13:14:20Z

User: Created page with "'''Content Coming Soon'''"

2019-01-07T03:41:01Z

Created page with "'''Content Coming Soon'''"

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 == What is Semantic Data Modeling? ==
-Semantic data modeling is the process of creating a data model that clearly and explicitly defines the meaning of the data being stored. This is typically done by defining the relationships between different types of data and the concepts that they represent, as well as the properties and attributes of those concepts.
+Semantic data modeling is the process of creating a [[Data Model|data model]] that clearly and explicitly defines the meaning of the data being stored. This is typically done by defining the relationships between different types of data and the concepts that they represent, as well as the properties and attributes of those concepts.
-A semantic data model is typically expressed using a formal language or notation, such as the Resource Description Framework (RDF) or the Web Ontology Language (OWL). These languages are used to define the concepts and relationships in the data model and to annotate the data with additional information about its meaning and context.
+A semantic data model is typically expressed using a formal language or notation, such as the [[Resource Description Framework (RDF)]] or the [[Web Ontology Language (OWL)]]. These languages are used to define the concepts and relationships in the data model and to annotate the data with additional information about its meaning and context.
 Semantic data modeling is used to create data models that are more flexible and expressive than traditional data models, and that can support more complex and sophisticated queries. It is particularly useful for creating data models that are used in knowledge management systems, where the meaning and context of the data are important.

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−	~~'''Content Coming Soon'''~~	+	== What is Semantic Data Modeling? ==
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		+	Semantic data modeling is the process of creating a data model that clearly and explicitly defines the meaning of the data being stored. This is typically done by defining the relationships between different types of data and the concepts that they represent, as well as the properties and attributes of those concepts.
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		+	A semantic data model is typically expressed using a formal language or notation, such as the Resource Description Framework (RDF) or the Web Ontology Language (OWL). These languages are used to define the concepts and relationships in the data model and to annotate the data with additional information about its meaning and context.
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		+	Semantic data modeling is used to create data models that are more flexible and expressive than traditional data models, and that can support more complex and sophisticated queries. It is particularly useful for creating data models that are used in knowledge management systems, where the meaning and context of the data are important.
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		+	==See Also==
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		+	==References==
		+	<references />