Semantic analysis (knowledge representation)

Semantic analysis is a method for eliciting and representing <a href="/facts/Knowledge/joozoaup">knowledge</a> about <a href="/facts/Organisation/CR83f1Rn">organisations</a>. 
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 <a href="/facts/Ontology_(information_science)/SQlhl6lp">ontology</a> chart. 
Semantic analysis always starts from the problem definition which if not clear, require the analyst to employ relevant <a href="/facts/Literature/CmUDxokU">literature</a>, <a href="/facts/Interview/an2tME3S">interviews</a> with the <a href="/facts/Stakeholder_(corporate)/yN9L44ac">stakeholders</a> and other techniques towards collecting supplementary <a href="/facts/Information/3LdrzXtJ">information</a>. All assumptions made must be genuine and not limiting the system.

Semantic analysis (knowledge representation) open-in-new

Semantic analysis (knowledge representation)