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Although it is easier to acquire knowledge from structured or unstructured data with NLP (Nature Language Processing) and Machine Learning techniques, it is still difficult to exclude logic errors using reinforcement learning on ontology construction. Ontology reduction is a key step when a learner agent removes the knowledge from the existing ontology in the process ontology learning. This proposal...
Ontology learning has become a popular research field recently. But most ontology construction methods are semiautomatic, and the construction process of ontology is still a tedious and painstaking task. The cognitive model of ontology learning is an automatic model of ontology construction that simulates the process of human being recognizing the world. Induction is an important step of the model...
As a kind of knowledge description methods, ontology has been used in reasoning related field to obtain more reasonable results, such as Semantic Web, Decision Support System, Data Integration etc. However, the construction of the ontology is still a time-consuming work for the experts. Although there are many ontology learning methods to acquire ontology from structured or unstructured data, it is...
Autonomous ontology learning is a critical task to reduce the cost of ontology construction for knowledge based systems. This paper provides a cognitive model for ontology learning system, which aims to develop a novel model for knowledge structuring based on the interaction between the process of ontology construction and cognitive psychology. During cognitive process, we simulate human's cognitive...
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