Abstract
Research and development in a company suggests a direction, along which the company can live on in the future and it is the most important activity for a company to survive in the competition. Recently, a few methodologies and systems analyzing the trend of future technology are being studied. Especially, there are some studies, which explore future technology by huge patent documents. However, the existing systems for it have limitation issues in performance and accuracy. In order to complement existing methods, this study approaches patent documents by technology-unit instead of utilizing related information by patent-unit. This study draws core keywords through data mining and suggests a method detecting User Defined Technology Trend Discovery (UDTTD).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Jeon, Y.-S., Kim, Y.-H., Jeong, Y.-J., Ryu, J.-H., Maeng, S.-H.: Language model for technology trend detection from patent document text and clue-based mechanical study method. Software and Application 5 (May 2009), Book 36
Kim, M.-J.: Major patent information analysis solution status at home and abroad (Korea institute of patent information) (2006)
Jo, J.-S.: A study on convergence analysis of IPC and utilization plan of it in the evaluation and judgment. Industrial Property Right 38 (June 2012)
Son, G.-J., Lee, S.-J.: Compound noun weight giving method in patent literature search (2005)
Buehrer, G., Chellapilla, K.: A scalable pattern mining approach to web graph compression with communities. In: Proceedings of the 2008 International Conference on Web Search and Data Mining. ACM (2008)
Jeon, H.-W., Jeong, C.-H., Song, S.-G., Choi, Y.-S., Choi, S.-P., Jeong, H.-M.: Building of technology-related word bundle for technology trend analysis. Korean Internet Information Association Summer Conference Journal 1 (2012), Book 13
A Study on the efficient noise removal during patent data analysis and patent technology level evaluation with improved reliability. Technology Innovation Academy Journal 1, 105–128 (March 2012), Book 15
Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. Communications of the ACM 51(1), 107–113 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Lee, Y., Lee, U. (2014). Design of Technology Value Analysis System Based on Patent Big Data. In: Kim, Y.S., Kang, B.H., Richards, D. (eds) Knowledge Management and Acquisition for Smart Systems and Services. PKAW 2014. Lecture Notes in Computer Science(), vol 8863. Springer, Cham. https://doi.org/10.1007/978-3-319-13332-4_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-13332-4_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13331-7
Online ISBN: 978-3-319-13332-4
eBook Packages: Computer ScienceComputer Science (R0)