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	<title>Semantic analysis (knowledge representation) - Revision history</title>
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	<updated>2026-05-15T17:11:20Z</updated>
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		<title>imported&gt;Geysirhead at 19:41, 26 October 2020</title>
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		<updated>2020-10-26T19:41:32Z</updated>

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&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{context|date=February 2014}}&lt;br /&gt;
{{other uses|Semantic analysis (disambiguation)}}&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;Semantic analysis&amp;#039;&amp;#039;&amp;#039; is a method for eliciting and representing [[knowledge]] about [[organisation]]s.{{Vague|date=February 2009}}&amp;lt;ref&amp;gt;[[Liu Kecheng]], (2000) [https://www.researchgate.net/profile/Kecheng_Liu/publication/200026800_Semiotics_in_Information_Systems_Engineering/links/54129acb0cf2bb7347daecb1.pdf Semiotics in information systems engineering], Cambridge University Press.&amp;lt;/ref&amp;gt; &lt;br /&gt;
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Initially the problem must be defined by domain experts and passed to the project analyst(s). The next step is the generation of candidate affordances. This step will generate a list of semantic units that may be included in the schema. The candidate grouping follows where some of the semantic units that will appear in the schema are placed in simple groups. Finally the groups will be integrated together into an [[Ontology_(information_science)|ontology]] chart. &lt;br /&gt;
&lt;br /&gt;
Semantic analysis always starts from the problem definition which if not clear, require the analyst to employ relevant [[literature]], [[interview]]s with the [[Stakeholder (corporate)|stakeholders]] and other techniques towards collecting supplementary [[information]]. All assumptions made must be genuine and not limiting the system. &lt;br /&gt;
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== See also ==&lt;br /&gt;
* [[Semantic analysis (machine learning)]]&lt;br /&gt;
* [[Ontology chart]]&lt;br /&gt;
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==References==&lt;br /&gt;
{{reflist}}&lt;br /&gt;
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[[Category:Knowledge representation]]&lt;br /&gt;
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{{Library-stub}}&lt;/div&gt;</summary>
		<author><name>imported&gt;Geysirhead</name></author>
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