A technical patent map construction method and system based on multi-dimensional technical feature extraction

Abstract

A patent map is widely used in the field of technical information mining, which can support tasks such as detecting patent vacuums and predicting technical trends. However, existing patent map construction methods have the limitations of insufficient intelligence and accuracy in mining patent technical features, which leads to failure to effectively complete the above tasks. To address these limitations, this paper proposes a patent map construction method based on multi-dimensional technical feature mining that mainly includes the following three stages. First, on the basis of the dependency parsing technology, the technical features contained in patents are fully mined in the form of triplets from three dimensions: function, behaviour and structure. Second, on the basis of Wordnet, the original triplets in three dimensions are standardised for different task scenarios. Finally, on the basis of the standard triplets, the patent map can be constructed to detect patent vacuums and support design tasks. In addition, a prototype system is developed based on the proposed method, and the effectiveness and practicability of the method and system are verified using a 3D printer as an engineering example.