Patent Attorneys Association Builds Big Data for Patent Evaluation... Increased Reliability through Collective Qualitative Assessment

[Asia Economy (Daejeon) Reporter Jeong Il-woong] The Korean Patent Attorneys Association is developing a big data system for patent evaluation.

According to the Association on the 17th, this system is being developed with the core concept of having multiple patent attorneys directly evaluate the target patent technologies and objectively quantify the results.

About 4,000 member patent attorneys can participate in the evaluation, which is expected to enhance reliability through the collective intelligence of experts.

In particular, the Association plans to apply the 'Delphi method,' a type of qualitative evaluation technique by expert groups, to this system.

Through this, the Association explains that by ensuring anonymity in the evaluation, excluding bandwagon or halo effects, and converging cumulative results through repeated evaluations by many experts, accuracy and reliability can be secured.

Additionally, the patent evaluation big data system is expected by the Association to overcome the limitations of existing patent analysis evaluation systems currently used as patent evaluation tools in the market.

Even if reliability is low, due to the lack of alternatives, the current evaluation system uniformly used by national research and development projects, universities, and government-funded research institutes can be supplemented by the patent evaluation big data system.

Hong Jang-won, President of the Patent Attorneys Association, said, “In the field, due to the practical difficulties of qualitative evaluation, proper evaluation of patents, which are the results of research and development, is not being conducted, leading to a vicious cycle of producing poor-quality patents. Therefore, the Association will build a patent evaluation big data system utilizing the collective intelligence of patent attorneys to become an innovative evaluation model.”

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