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VERBKA: AN APPROACH TO BUILDING CAUSAL CONCEPT MAPS BASED ON VERBAL SEMANTICS

Vasques, Dildre G. and Gomes, Franciene D. and Galindo J., Juan F and Martins, Paulo S VERBKA: AN APPROACH TO BUILDING CAUSAL CONCEPT MAPS BASED ON VERBAL SEMANTICS.

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Abstract

Organizations need to find strategies to deal with their challenges. Knowledge Management is a critical resource to the definition of these strategies. In order to do so, organizations use knowledge representation, which in turn is linked to a previous knowledge acquisition process. These processes must be complete and unambiguous. Concept maps are widely used to represent knowledge in organizations, simplifying knowledge storage, retrieval, and use. However, one of the significant gaps in knowledge representation is the comprehension of causal relationships between concepts. Whereas concept maps are able to model causal relationships, this capability is still sparsely explored. This occurs because causal relationships are not usually considered in traditional knowledge representation processes used in the construction of concept maps. To bridge this gap, we present a concept map modeling based on knowledge acquisition through verbal semantics. Results show that this modeling represents causal relationships between concepts, maintaining knowledge’s original semantic structure, and allowing knowledge understanding as a whole. We conclude that this approach systematically acquires and represents the knowledge present in causal relationships, and may facilitate knowledge management in organizations and the definition of strategies for problem solving.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Claudia Martínez
Date Deposited: 12 Oct 2018 10:29
Last Modified: 12 Oct 2018 10:29
URI: http://eprint.ihmc.us/id/eprint/540

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