This technology relates to an ontology-based event calculus rule generation apparatus and method for recognizing human behavioral intentions. Specifically, it is a rule generation technology that recognizes human behavioral intentions using ontology and event calculus.
Existing technologies needed to overcome the limitations of conventional methods by directly defining event rules for actions, reflecting the expert knowledge of system developers rather than domain experts. To address this, the present technology proposes a configuration that includes a rule converter, an event recognizer, and an event calculus knowledge base for generating event rules for actions to recognize intent.
Accordingly, this technology can improve the application of expert knowledge for intent recognition and enable more efficient system development for healthcare. It holds value in the healthcare, pharmaceutical, and software sectors.
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