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Constructing the Semantic Information Model using A Collective Intelligence Approach
2011
KSII Transactions on Internet and Information Systems
Knowledge is often represented as a set of rules or a semantic network in intelligent systems. Recently, ontology has been widely used to represent semantic knowledge, because it organizes thesaurus and hierarchal information between concepts in a particular domain. However, it is not easy to collect semantic relationships among concepts. Much time and expense are incurred in ontology construction. Collective intelligence can be a good alternative approach to solve these problems. In this
doi:10.3837/tiis.2011.10.001
fatcat:lytoindlp5evvcl2f4xlwsmtqm