TL;DR
This paper analyzes essential features for knowledge representation, proposing a model that integrates low-level sensor data and high-level concepts, along with a method for software implementation.
Contribution
It introduces a novel model for knowledge representation that combines sensor data and conceptual information, with an implementation approach.
Findings
Proposed a comprehensive knowledge representation model.
Outlined a software implementation method.
Addressed integration of sensor data and high-level concepts.
Abstract
This work analyses main features that should be present in knowledge representation. It suggests a model for representation and a way to implement this model in software. Representation takes care of both low-level sensor information and high-level concepts.
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Taxonomy
TopicsSemantic Web and Ontologies · AI-based Problem Solving and Planning