System and method for automatically analyzing patent text

Abstract

The invention provides a system for automatically analyzing a patent text, which comprises an expert knowledge processor, an ontology processor, a language knowledge base, an expert knowledge base and an ontology knowledge base; the working relation between the expert knowledge processor and the ontology processor is the parallel relation; and the expert knowledge base and the ontology knowledge base also have the parallel relation. The invention also provides a method for automatically analyzing the patent text; with the language knowledge base, the expert knowledge processor is utilized to carry out extraction and structuralized expression on patent full-text data of a patent database to generate the expert knowledge base and automatically update the expert knowledge base; and with the language knowledge base, the ontology processor is utilized to extract ontology from the patent full-text data of the patent database and identify the ontology relation to generate the ontology knowledge base, and automatically update the ontology knowledge base.

Description

technical field [0001] The invention relates to a system and method for automatically analyzing patent texts (especially invention patent applications and authorized publications), which can be used to improve user query effects. Background technique [0002] The term "invention" as mentioned in the Patent Law refers to a new technical solution proposed for a product, method or its improvement. Due to certain characteristics of legal documents, patent documents reflect the language characteristics of standardized form and rigorous language, but their lengthy length and complicated style greatly reduce the intelligibility and knowledge sharing efficiency of patents. Using natural language technology to process patents can improve the efficiency and efficiency of patent use. [0003] The format and writing method of patent texts are relatively unified and fixed, and the terms used are relatively standardized. Patent documents often contain some fixed sentence patterns, which...

AI Technical Summary

Problems solved by technology

Although the document SAO notation proposed by it simplifies the document representation, which is beneficial to improve the document precision rate and can use SAO to automatically generate document summaries, but its disadvantage is that the matching method makes the recall rate unable to guarantee

However, there are still deficiencies: the above-mentioned expert knowledge base and ontology knowledge base are core computing resources. If their construction relies on manual methods, it will be extremely complicated and difficult, including a huge amount of work, and management and maintenance are also a big problem. question

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