Comprehensive Monitoring and Analysis System for Patent Registrations Based on Artificial Intelligence Technology.
Project description
In today’s world, artificial intelligence technology has proven itself as a driving force in industrial and scientific transformations. The applications of this technology, especially in improving production processes and in the field of natural language processing, are remarkable. One key area of utilizing artificial intelligence capabilities is the monitoring and analysis of patent registrations. Patents, as a sign of innovation and progress, have gained significant importance in global competition. In this regard, we have developed a comprehensive artificial intelligence system capable of managing and analyzing patent-related information.
Given that more than three million patents are registered annually worldwide, having command over the information related to this vast volume of patents is essential—a task that can only be achieved by leveraging advanced artificial intelligence technologies. One of the major challenges in research and development in this field is the need for access to reliable and comprehensive data. Therefore, efficient tools for managing and analyzing data offer significant value.
The importance and necessity of this system not only relate to facilitating the management and productivity analysis of patents but also significantly contribute to enhancing the quality of patents and gradually improving productivity in scientific and industrial sectors. By quickly and efficiently providing scientific information to researchers, inventors, and decision-makers, this system brings greater transparency and security to the patent registration process. As a result, this project is considered a valuable tool for the economic and technological advancement of countries that are progressing in this direction.
In the patent monitoring and analysis project, we systematically gather and monitor patent data, using artificial intelligence tools and text mining to extract high-level insights from published patents, enabling a deeper analysis of revolutionary and developmental trends in patents.
This project involves the design of intelligent services such as search engines, translation, identification of thematic clusters, topic classification, keyword extraction, and a recommendation system for research projects.
