Automation of Conducting a Patentability Search in an Example of Aviation Engines
Аннотация
Aircraft engines are the most important component of any aircraft, ensuring not only its movement but also flight safety. Each aircraft engine is a unique technical solution that has gone through many stages of development, testing and improvement. Using tools and technology to help with patent search and analysis would be necessary to automate the process of determining patentability. Patentability searches are typically conducted to ascertain if an invention meets the essential requirements for receiving a patent: novelty, non-obviousness, and industrial applicability or utility.Prior to determining patentability, a crucial step is to do a patent search. Relevant documents are found by the examiner during the patent search. This might impact originality and non-obviousness. About that, the examiner determines whether or not to patent the innovation. To add a keyword, we need to use the “AND” operation in patent search databases. But again, this is not the only operation that an expert can use. The second most commonly used operator would be “OR”. The difference between them is that the “AND” operation combines terms and aggregates the found documents, while the “OR” operation separates the terms and increases the found documents. There are a number of benefits to automating the patentability search process, which increases effectiveness and efficiency. Patent searches take a lot less time when they are automated. Automation could result in a faster search procedure. However, there would be levels of automation. The three levels that we would suggest are fully automated systems, semi-automated systems and partially automated systems. All three automation methods would use AI or machine learning. A fully automated system would scan the application documents and according to that will conduct a patent search. Later on system itself would create a patent search report. Semi-automated system would again scan the application documents and according to that conduct a patent search. However, this is where the automation would stop. The automation would not create a search report, it would only find some documents and the human examiner would need to check them and create a search report accordingly. A partially automated system would not scan the application documents. It would conduct a patent search according to the keywords provided by the human examiner. This is again where the automation would stop. The automation would not create a search report, it would only find some documents and the human examiner would need to check them. After inspecting the found documents, the human expert would create a patent search report. Before the automation would conduct any patent search, it might be necessary to find if the application is applicable in the said field. This process itself could be done in two ways. The 528first one would be automation. The automation would scan the documents of the application and find if the creation or practical model is applicable or not. The second one would be a human examiner. Here, the examiners themselves would figure out if the application is applicable or not. First, the automation would determine whether the invention is useful in the sector. Patent protection would be given to the innovation if it is useful. The application would be rejected if the invention was not applicable. If it’s applicable then the automation would check the next condition. Next, the automation would determine whether or not the application is evident. Then after finding that the invention has the “inventive step”, the automation would check novelty. Once more, the application would be rejected if the invention is not innovative. If it is a novel invention, a patent would be issued.