Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks

Patents constitute an up-to-date source of competitive intelligence in technological development; thus, patent analysis has been a vital tool for identifying technological trends. Patent citation analysis is easy to use, but fundamentally has two main limitations: (1) new patents tend to be less cited than old ones and may miss citations to contemporary patents; (2) citation-based analysis cannot be used for patents in databases which do not require citations. Naturally, citation-based analysis tends to underestimate the importance of new patents and may not work in rapidly-evolving industries in which technology life-cycles are shortening and new inventions are increasingly patented world-wide. As a remedy, this paper proposes a patent network based on semantic patent analysis using subject-action-object (SAO) structures. SAO structures represent the explicit relationships among components used in a patent, and are considered to represent key concepts of the patent or the expertise of the inventor. Based on the internal similarities between patents, the patent network provides the up-to-date status of a given technology. Furthermore, this paper suggests new indices to identify the technological importance of patents, the characteristics of patent clusters, and the technological capabilities of competitors. The proposed method is illustrated using patents related to synthesis of carbon nanotubes. We expect that the proposed procedure and analysis will be incorporated into technology planning processes to assist experts such as researchers and R&D policy makers in rapidly-evolving industries.

[1]  Anthony Breitzman,et al.  Using Patent Citation Analysis to Target/Value M&A Candidates , 2002 .

[2]  M. Reitzig.  Improving patent valuations for management purposes--validating new indicators by analyzing application rationales , 2004 .

[3]  Martin G. Moehrle,et al.  Evaluating the Risk of Patent Infringement by Means of Semantic Patent Analysis: The Case of DNA Chips , 2008 .

[4]  Zan Huang,et al.  Longitudinal Patent Analysis for Nanoscale Science and Engineering: Country, Institution and Technology Field , 2003 .

[5]  Byungun Yoon,et al.  A systematic approach for identifying technology opportunities: Keyword-based morphology analysis , 2005 .

[6]  Holger Ernst,et al.  The Use of Patent Data for Technological Forecasting: The Diffusion of CNC-Technology in the Machine Tool Industry , 1997 .

[7]  Philip Resnik,et al.  Semantic Similarity in a Taxonomy: An Information-Based Measure and its Application to Problems of Ambiguity in Natural Language , 1999, J. Artif. Intell. Res..

[8]  L. Freeman.  Centrality in social networks conceptual clarification , 1978 .

[9]  F. Narin,et al.  Direct validation of citation counts as indicators of industrially important patents , 1991 .

[10]  Mary Ellen Mogee,et al.  Using Patent Data for Technology Analysis and Planning , 1991 .

[11]  Shang Jyh Liu,et al.  Strategic planning for technology development with patent analysis , 1997 .

[12]  Shiu-Wan Hung,et al.  Examining the small world phenomenon in the patent citation network: a case study of the radio frequency identification (RFID) network , 2009, Scientometrics.

[13]  Francis Narin,et al.  Technology Indicators and Corporate Strategy , 1993 .

[14]  Shiu-Wan Hung,et al.  A small world in the patent citation network , 2008, 2008 IEEE International Conference on Industrial Engineering and Engineering Management.

[15]  Kuei-Kuei Lai,et al.  Exploring technology diffusion and classification of business methods: Using the patent citation network , 2009 .

[16]  Gaetano Cascini,et al.  Measuring patent similarity by comparing inventions functional trees , 2008, IFIP CAI.

[17]  Noriko Kando,et al.  Introduction to the special issue on patent processing , 2007, Inf. Process. Manag..

[18]  Soumyo D. Moitra,et al.  Innovation assessment through patent analysis , 2001 .

[19]  MU-HSUAN HUANG,et al.  Constructing a patent citation map using bibliographic coupling: A study of Taiwan's high-tech companies , 2003, Scientometrics.

[20]  Sandra Müller,et al.  Patent-Based Inventor Profiles as a Basis for Human Resource Decisions in Research and Development , 2005 .

[21]  Sungjoo Lee,et al.  An approach to discovering new technology opportunities: Keyword-based patent map approach , 2009 .

[22]  Kwangsoo Kim,et al.  Invention property-function network analysis of patents: a case of silicon-based thin film solar cells , 2011, Scientometrics.

[23]  M.M.S. Karki,et al.  Patent citation analysis: A policy analysis tool , 1997 .

[24]  Geoffrey C. Bowker,et al.  Work and infrastructure , 1995, CACM.

[25]  Shiu-Wan Hung,et al.  Small world phenomenon in the radio frequency indentification (RFID) patent citation network , 2010, 2010 2nd International Conference on Mechanical and Electronics Engineering.

[26]  Yoshiyuki Takeda,et al.  Detecting emerging research fronts based on topological measures in citation networks of scientific publications , 2008 .

[27]  Semyon Savransky,et al.  Engineering of Creativity: Introduction to TRIZ Methodology of Inventive Problem Solving , 2000 .

[28]  Darrell Mann,et al.  Hands-on systematic innovation , 2002 .

[29]  Roberto Fontana,et al.  Mapping technological trajectories as patent citation networks. An application to data communication standards , 2009 .

[30]  Mihail C. Roco,et al.  Patent citation network in nanotechnology (1976–2004) , 2007 .

[31]  A. A. Kayal,et al.  An empirical evaluation of the technology cycle time indicator as a measure of the pace of technological progress in superconductor technology , 1999 .

[32]  Alan L. Porter.  Technology Opportunities Analysis: Integrating Technology Monitoring, Forecasting, and Assessment with Strategic Planning. , 1994 .

[33]  George A. Miller,et al.  WordNet: A Lexical Database for English , 1995, HLT.

[34]  Amy J. C. Trappey,et al.  Using patent data for technology forecasting: China RFID patent analysis , 2011, Adv. Eng. Informatics.

[35]  Gaetano Cascini,et al.  Natural Language Processing of Patents and Technical Documentation , 2004, Document Analysis Systems.

[36]  Simon Dewulf,et al.  Directed variation of properties for new or improved function product DNA – A base for connect and develop , 2011 .

[37]  Tetsuo Tomiyama,et al.  Advanced Engineering Informatics , 2007, Adv. Eng. Informatics.

[38]  Tugrul U. Daim,et al.  Forecasting emerging technologies: Use of bibliometrics and patent analysis , 2006 .