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Patent and trademark intelligence – Getting technology and competitive intelligence from patents and trademark databases

Sungjoo LeePatent and trademark intelligence – Getting technology and competitive intelligence from patents and trademark databases

Sungoo Lee, Ajou University, South Korea

Patent information is the technical and legal information contained in patent documents, which companies find of great value for their strategic technology and business planning. Patents provide a means of learning about current R&D as well as monitoring what other competitors do for innovation. For this reason, they have been frequently used for quantitative analyses: for example, huge efforts have been made to develop new patent indicators or apply data-mining methods to patent documents for extracting valuable knowledge from patent information.

Recently, the utility of patent information has been expanded considerably due to the recent advances in big data analysis techniques. More research is needed to identify how these techniques can be effectively used for patent analysis and ultimately for R&D planning. Another research opportunity lies in adopting different approaches for different types of patents such as essential patents, design patents and business model patents, which provide unique insights for business and technology planning. Therefore, though the patent has been regarded as one of its most powerful pieces of intellectual property, it is also worth addressing the significance of trademark as a database for intelligence. As trademark is directly linked to a company’s business areas and the relevant database is open to public now, its analysis will produce invaluable knowledge for identifying new business opportunities and guiding R&D directions.

Therefore, this session invites papers on patent and trademark intelligence. The goal of this session is to bring together researchers and practitioners from academia and industry to focus on understanding advances in patent and trademark analysis techniques and applications for R&D management and establishing new collaborations in these areas.