A new patent-based approach for technology mapping in the pharmaceutical domain

Area of Science:

• Information Science
• Intellectual Property Management
• Biotechnology

Background:

• Effective decision-making relies on high-quality information.
• Patents are crucial information sources but challenging to analyze.
• Extracting relevant patent data efficiently is a significant hurdle.

Purpose of the Study:

• To present a novel method for patent search and classification.
• To automate the creation of patent pools for analysis.
• To enable technology landscaping for product development and competitive analysis.

Main Methods:

• Developed the Knowledge Organizing Module (KOM) for patent analysis.
• Utilized polysemy expansion and homonymy disambiguation to build patent pools.
• Applied automatic technology landscaping to identify the state of the art and opportunities.

Main Results:

• Demonstrated an automated approach to generating relevant patent sets.
• Enabled efficient identification of existing technologies and potential innovations.
• Successfully applied the method to a case study in verruca treatments.

Conclusions:

• The KOM method significantly improves patent information extraction efficiency and accuracy.
• Automated patent analysis facilitates strategic decision-making and innovation exploration.
• This approach is valuable for understanding technological landscapes in various fields.