PATENT CLASSIFICATION MODEL BASED ON KNOWLEDGE ENGINEERING TECHNIQUES
DOI:
https://doi.org/10.48090/ciki.v1i1.1254Keywords:
Patent Analysis, Patent Classification, Deep Learning, Knowledge GraphAbstract
Annually, a large volume of patents is deposited in patent offices worldwide. In this sense, automatic patent classification is essential to assist examiners in decision making. The main goal of this paper is to propose a model towards the patent classification, taking into account aspects of classes ranking and explanation through knowledge graph. The proposed model was evaluated using a public dataset, as well as three neural network architectures. So far, the aggregate accuracy for the ranking at position k=5 has reached around 75% for the three neural networks. In this sense, from the preliminary results obtained, it is possible to verify that the model has conditions to assist examiners in choosing classes that best represent a given patent.
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