Semantic similarity measures applied to an ontology for human-like interaction
Journal of Artificial Intelligence Research
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This work shows a conceptual model required for Natural Interaction, that is, imitating human behavior through interaction. This sort of Ontology is characterized by a set of services it should provide, for which both domain knowledge and reasoning mechanisms should be attained. However, special requirements and tasks for which this model is intended force a complete analysis and the design of an abstract knowledge model. In short, the Ontology component is expected to unify each concept representation, relate it with proper terms and other concepts, and perform some inference processes. This work tackles both the functional approach and the knowledge structure, thus introducing a first solution to the posed problem.