Patent search, analysis and evaluation is a complicated process and if the portfolio size of patents held by an organization ranges in 00’s or 000’s, it makes the data analysis process far more difficult. Traditionally, conventional Boolean operators and keyword-based research method were employed to handle the process but with the advent of variety of modern options, the process has undergone many changes — “use of AI [Artificial Intelligence], semantic-based algorithms, and VOWEL [A,E,I,O,U] approach” are some the major areas/tools that now find application in the patent and scientific literature search and analysis domain.
Patent Mining objective is to organize the patent assets, digging out the “best of the best options” in the lot. AI-based features like PatSeer’s semantic suggester uses Artificial Intelligence to look beyond thesaurus and similar words to find more relevant keywords with patent data mining and intelligent categorization and It also find help in getting patent portfolio of competitors and organizations from industries of interest to get help in cross-licensing preparations as well assessing possibility and magnitude of potential infringement claims.
AI has proved to be an extremely promising resource to analyse the patents and market data in IP industry.
Learn more about Technological Advancements in Patent Mining Visit- https://patseer.com/2020/05/technological-advancements-in-patent-mining/
