An improved SAO network-based method for technology trend analysis: A case study of graphene

Abstract This paper proposes an improved Subject-Action-Object (SAO) network-based method for analyzing trends in technology development. It attempts to address shortcomings of the traditional SAO network approach, i.e., when setting Subject, Action and Object as nodes of the network, there may be errors in explaining the relationship between Subject Node and Object Node, and the strength of the relationship between subject and object also cannot be identified. The proposed improved SAO network-based method in this paper includes: (1) a new method for constructing an SAO network based on SAO links that calculate the intensity of the relationship between nodes; (2) a model for identifying technology development trends based on structural holes, changes in the distribution of node degrees, and shifts in network centrality. An empirical study on graphene technology is used to illustrate the validity and feasibility of the proposed method.

[1]  Murat Bengisu,et al.  Critical and emerging technologies in Materials, Manufacturing, and Industrial Engineering: A study for priority setting , 2003, Scientometrics.

[2]  Richard Seymour,et al.  Platinum Group Metals Patent Analysis and Mapping , 2008 .

[3]  Kwangsoo Kim,et al.  SAO network analysis of patents for technology trends identification: a case study of polymer electrolyte membrane technology in proton exchange membrane fuel cells , 2011, Scientometrics.

[4]  Hsin-Yu Shih,et al.  Patent citation network analysis of core and emerging technologies in Taiwan: 1997–2008 , 2011, Scientometrics.

[5]  Jiang Li,et al.  Basic research is overshadowed by applied research in China: a policy perspective , 2013, Scientometrics.

[6]  Claire Packer,et al.  Early identification and assessment of new and emerging health technologies: Actions, progress, and the future direction of an international collaboration—EuroScan , 2008, International Journal of Technology Assessment in Health Care.

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

[8]  Alan L. Porter,et al.  How to combine term clumping and technology roadmapping for newly emerging science & technology competitive intelligence: “problem & solution” pattern based semantic TRIZ tool and case study , 2014, Scientometrics.

[9]  Katy Börner,et al.  Mixed-indicators model for identifying emerging research areas , 2011, Scientometrics.

[10]  Maria Bardosova,et al.  Using network science and text analytics to produce surveys in a scientific topic , 2015, J. Informetrics.

[11]  Jae Yeol Lee,et al.  An SAO‐Based Text‐Mining Approach for Technology Roadmapping Using Patent Information , 2013 .

[12]  Robert K. Abercrombie,et al.  A study of scientometric methods to identify emerging technologies via modeling of milestones , 2012, Scientometrics.

[13]  H. P. F. Peters,et al.  Co-word-based science maps of chemical engineering. Part I: Representations by direct multidimensional scaling , 1993 .

[14]  Yu Zhao,et al.  Knowledge base completion by learning pairwise-interaction differentiated embeddings , 2015, Data Mining and Knowledge Discovery.

[15]  Takao Furukawa,et al.  Identifying the evolutionary process of emerging technologies: A chronological network analysis of World Wide Web conference sessions , 2015 .

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

[17]  P. Bonacich Power and Centrality: A Family of Measures , 1987, American Journal of Sociology.

[18]  Liwen Vaughan,et al.  Word co-occurrences on Webpages as a measure of the relatedness of organizations: A new Webometrics concept , 2010, J. Informetrics.

[19]  Yuya Kajikawa,et al.  Unconnected component inclusion technique for patent network analysis: Case study of Internet of Things-related technologies , 2016, J. Informetrics.

[20]  Kwangsoo Kim,et al.  Identifying technological competition trends for R&D planning using dynamic patent maps: SAO-based content analysis , 2012, Scientometrics.

[21]  Péter Érdi,et al.  Prediction of emerging technologies based on analysis of the US patent citation network , 2012, Scientometrics.

[22]  Xin Wang,et al.  Government funded renewable energy innovation in China , 2012 .

[23]  Alan L. Porter,et al.  Identification of technology development trends based on subject–action–object analysis: The case of dye-sensitized solar cells , 2015 .

[24]  Steven B. Andrews,et al.  Structural Holes: The Social Structure of Competition , 1995, The SAGE Encyclopedia of Research Design.

[25]  Fernando Palop Marro,et al.  Combining tech-mining and semantic-TRIZ for a faster and better technology analysis: a case in energy storage systems , 2013, Technol. Anal. Strateg. Manag..

[26]  Francisca Vidal-España,et al.  Identificación de tecnologías nuevas y emergentes , 2007 .

[27]  S. N. Singh,et al.  Mapping the intellectual structure of scientometrics: a co-word analysis of the journal Scientometrics (2005–2010) , 2014, Scientometrics.

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

[29]  Peter ErdiKinga Prediction of emerging technologies based on analysis of the US patent citation network , 2013 .

[30]  Sung-Hyon Myaeng,et al.  Automatic discovery of technology trends from patent text , 2009, SAC '09.

[31]  Alan L. Porter,et al.  Emerging technologies: quantitative identification and measurement , 2010, Technol. Anal. Strateg. Manag..

[32]  Chao Yang,et al.  Semantic-Based Technology Trend Analysis , 2015, 2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE).

[33]  Ronald S. Burt,et al.  Neighbor Networks: Competitive Advantage Local and Personal , 2010 .

[34]  Daniele Rotolo,et al.  Emerging Technology , 2001 .

[35]  Jens Lehmann,et al.  Creating knowledge out of interlinked data , 2010, Semantic Web.

[36]  Peter Neuhäusler,et al.  Towards an early-stage identification of emerging topics in science - The usability of bibliometric characteristics , 2015, J. Informetrics.

[37]  Alan L. Porter,et al.  Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research , 2016 .

[38]  Xiang Liu,et al.  Collective dynamics in knowledge networks: Emerging trends analysis , 2013, J. Informetrics.

[39]  Kwangsoo Kim,et al.  Detecting signals of new technological opportunities using semantic patent analysis and outlier detection , 2011, Scientometrics.

[40]  Chao Yang,et al.  Requirement-oriented core technological components’ identification based on SAO analysis , 2017, Scientometrics.

[41]  Alan L. Porter,et al.  Triple Helix innovation in China’s dye-sensitized solar cell industry: hybrid methods with semantic TRIZ and technology roadmapping , 2013, Scientometrics.

[42]  Kwangsoo Kim,et al.  Identifying patent infringement using SAO based semantic technological similarities , 2011, Scientometrics.

[43]  So Young Sohn,et al.  Patent-based QFD framework development for identification of emerging technologies and related business models: A case of robot technology in Korea , 2015 .

[44]  Mu-Hsuan Huang,et al.  The trend of concentration in scientific research and technological innovation: A reduction of the predominant role of the U.S. in world research & technology , 2012, J. Informetrics.

[45]  Eric K. Neumann,et al.  Identifying disease-causal genes using Semantic Web-based representation of integrated genomic and phenomic knowledge , 2008, J. Biomed. Informatics.

[46]  Ellen Moors,et al.  Exploring emerging technologies using metaphors--a study of orphan drugs and pharmacogenomics. , 2008, Social science & medicine.

[47]  Jose M. Vicente-Gomila The contribution of syntactic–semantic approach to the search for complementary literatures for scientific or technical discovery , 2014 .

[48]  Yoshiyuki Takeda,et al.  Tracking emerging technologies in energy research : toward a roadmap for sustainable energy , 2008 .

[49]  Hugo Liu,et al.  ConceptNet — A Practical Commonsense Reasoning Tool-Kit , 2004 .

[50]  Kwangsoo Kim,et al.  Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks , 2011, Scientometrics.

[51]  Chao Yang,et al.  SAO Semantic Information Identification for Text Mining , 2017, Int. J. Comput. Intell. Syst..

[52]  José M. Vicente Gomila,et al.  Discovering shifts in competitive strategies in probiotics, accelerated with TechMining , 2017, Scientometrics.