Proceedings of the 5^th Global TechMining Conference – September 16, 2015

DATA SCIENCE AND TECHMINING Session Chair : Arho Suominen

1. Innovation and business growth in a strategic emerging technology: New methods for real-time intelligence on graphene enterprise development and commercialization Philip Shapira, Abdullah Gok, and Fatemeh Salehi Yazdi
   • Presentation
   • Extended Abstract

2. Assessment of entrepreneurial activity in innovative system: Towards measurement models and indicators Arash Hajikhani, Helinä Melkas, and Jari Porras
   • Presentation
   • Extended Abstract

3. Under-reporting research relevant to local needs in the global south. Database biases in the representation of knowledge on rice Ismael Rafols, Tommaso Ciarli, and Diego Chavarro
   • Presentation
   • Extended Abstract

PATENTS AND TECHMINING Session Chair : Rich Corken

4. Ownership transfer of patents at the State Intellectual Property Office of China Peter Neuhäusler and Rainer Frietsch
   • Presentation
   • Extended Abstract

5. Methodology for identifying pharmaceutical key molecules using technology foresight of patent documents Flavia Maria Lins Mendes and Adelaide Antunes
   • Presentation
   • Extended Abstract

6. An in depth study of patent thickets: A case study of lithium ion accumulators Jean-Paul Rameshkoumar, Marina Flamand, and Johannes van der Pol
   • Presentation
   • Extended Abstract

TECHMINING APPLIED Session Chair : Denise Chiavetta

7. A Scientometric analysis of additive manufacturing in Latin America Marisela Rodriguez Salvador , Ana Marcela Hernández de Menéndez, and David Alfredo Arcos Novillo
   • Presentation
   • Extended Abstract

8. Tech mining for monitoring technology trends: related methods, sources and software tools Nadezhda Mikova
   • Extended Abstract

9. Combining scientometrics with patent-metrics analysis for CTI services in R&D decision-making: Practices of the National Science Library of CAS Xiwen Liu, Ping Jia, Yuling Sun, and Huifang Xu
   • Presentation
   • Extended Abstract

METHODS IN UNSUPERVISED LEARNING Session Chair : John Chase

10. A patent search strategy based on machine learning for the emerging field of service robotics Vladimir Korzinov and Florian Keuhauff
    • Presentation
    • Extended Abstract

11. Overlay of science and technology patterns with unsupervised learning: Case of thermal management system Samira Ranaei, Arho Suominen, Mika Lohtander, and Tuomo Kassi
    • Presentation
    • Extended Abstract

12. Map of Technology: Topic modeling full-text patent data Arho Suominen and Hannes Toivanen
    • Presentation
    • Extended Abstract

TECHMINING FOR TECHNOLOGY PLANNING Session Chair : Jan Youtie

13. Technology mining for emerging S&T trends and developments: Dynamic term clustering and semantic analysis Pavel Bakhtin and Ozcan Saritas
    • Presentation
    • Extended Abstract

14. Tech Mining to validate and refine a technology roadmap Geet Lahoti, Alan L. Porter, Chuck Zhang, Jan Youtie, Ben Wang, and Diana M. Hicks
    • Presentation
    • Extended Abstract

15. Leveraging tech mining for revealing and forecasting innovation pathways: What now and what next? Douglas Robinson
    • Presentation
    • Extended Abstract

INTERDISCIPLINARY RESEARCH AND CITATION ANALYSIS Session Chair : Ismael Rafols

16. Machine learning based classification of research grant award records Jeffrey Alexander, John Byrnes , and Christina Freyman
    • Presentation
    • Extended Abstract

17. Tech Mining cited references to understand the influence of journal articles on reports of the US national research council Jan Youtie, Barry Bozeman, Andrew Kao, and Sahra Jabbehdari
    • Presentation
    • Extended Abstract

MAPPING FOR TECHMINING Session Chair : Luciano Kay

18. Funding proposal overlap mapping: A tool for science and technology management Ying Huang, Yi Zhang, Alan Porter, Jan Youtie, Luciano Kay, and Donghua Zhu
    • Presentation
    • Extended Abstract

19. Classifying biomedical text for mining keyword correlations and technology opportunities analysis Jing Ma, Donghua Zhu, Alan Porter, and Ying Huang
    • Presentation
    • Extended Abstract

5-MINUTE POWER LUNCH TALKS

• Testing technology-industry concordances using linked micro-level data on patents and firms Qifeng Weng and Zachary Brown
  • Presentation

• Identifying hotspots: assessing when the use of heat maps is preferable to more conventional cartography Stephen Carley
  • Presentation

• Text mining non-technical terms for technology mining Cherie Trumbach
  • Presentation

• Nanotechnology landscape in Brazil: a value chain framework analysis Daniel Giacometti Amaral, Adelaide Antunes and Maria Simone de Menezes Alencar
  • Presentation

• Building a patent search strategy of an emerging technology using citation information Seokbeom Kwon
  • Presentation

DEVELOPMENTS IN METHODS

A Comparison of Social Science Research on Nanotechnology and Synthetic Biology
Jan Youtie, Philip Shapira
Presentation PowerPoint Slides

Intellectual property search methods and innovation impact therewith beyond expectations 
Damien Lapray and Serge Rebouillat
Presentation PowerPoint Slides

How can a word be disambiguated in a set of documents: using recursive Lesk to select relevant records
Diego Chavarro  and Yuxian Liu
Presentation PowerPoint Slides

TOPIC MODELING 

Automatic classification of patents oriented to problems and solutions: a case study on large aperture optical elements
Zhengyin Hu, Shu Fang and Tian Liang
Presentation PowerPoint Slides

Garbage in, garbage out: Impact of sequence matching based text cleaning and phrase identification on unsupervised text mining
Arho Suominen and Hannes Toivanen

Emerging Topic Detection based on LDA Combined with Bibliometrics Indices 
Jianxia Ma

PATENTS 

A multidimensional approach to visualising and analysing patent portfolios
Edwin Horlings
Presentation PowerPoint Slides

The Flow of Ideas from the Non-Patent Literature to the Patent Literature
Jevin  West

Common misconceptions of interpreting patent data and what they actually mean 
Peter Evans, Rich Corken and Christopher Harrison
Presentation PowerPoint Slides     

IMPACTS OF COLLABORATION IN S,T & I

Community Detection in a Large Collaboration Network of Nanotechnology Researchers
Scott Cunningham and Jan Kwakkel
Presentation PowerPoint Slides

Recommending potential research collaborations based on science map using link prediction 
Xiaomei Wang, Tao Han and Ting Chen

A preliminary analysis of Knowledge transfer: the case of structural composite material in aeronautics.               
Johannes Van Der Pol, Jean-Paul Rameshkoumar, David Virapin and Bernard Zozime
Presentation PowerPoint Slides

5-MINUTE POWER TALK PRESENTATIONS 

Strategic Analysis of Main Research Fronts in Waste Recycling Science: Evolution from 2002 to 2012
Gaizka Garechana, Rosa Rio-Belver, Ernesto Cilleruelo-Carrasco and Jaso Larruscain-Sarasola

Comparing Trends of World’s Most Cited Scientific Studies with Turkish Scientific Nanotechnology Study using the Technology Mining Concept
Serhat Burmaoglu and Akif Tabak
Presentation PowerPoint Slides

A Scientometric Analysis of Knowledge Output Performance of NSFC Supported Projects: A Case Study of Oceanography
Jianxia Ma

Research on  Commercial Potential Evaluation of Emerging Technology 
Ying Huang, Ying Guo, Alan Porter, Xiao Zhou and Donghua Zhu
Presentation PowerPoint Slides

The Tech-Mining: A Key Capability to Support Growth
Khairul Ridzwan Ibrahim and Mohd. Mazran Md Saari-Ibrahim
Presentation PowerPoint Slides

Measuring invention cooperation using patent information in Colombia
Marcela Galvis Restrepo and Carolina Rivera Torres
Presentation PowerPoint Slides

Assessing Patented Technologies within the Brazilian “Green” Patent Applications Program 2012-2014
Douglas Alves Santos, Fernando Palop, Angela Mochado, Patricia Reis

NOVEL DATA

Identifying Social Media Content as a High Potential Indicator  for Measuring Innovation
Arash Hajikhani

Indicators for the emergence of potentially disruptive technologies by opinion mining in social scientific networks
Gillian Strong

Funding Data: Collection, Coding, and Caveats. Cancer Research Funding in the UK
Nicola Grassano, Michael Hopkins and Daniele Rotolo

Identifying the Technology Profiles of R&D Performing Firms – A Matching of R&D and Patent Data
Peter Neuhäusler, Rainer Frietsch, Carolin Michels and Verena Eckl
Presentation PowerPoint Slides    

EVALUATING THE EVOLUTION OF S & T

Integrated Methodology for Finding Emerging Technologies Using Roadmaps, Patents and Publications
Geet Lahoti, Alan L. Porter, Jan Youtie, Ben Wang, Chuck Zhang and Diana M. Hicks
Presentation PowerPoint Slides

Analyzing systemic evolution of technologies by combining tech mining and semantic TRIZ
Jose M. Vicente-Gomila,  Miguel Angel Artacho and Ting Ting Ma

Aiding by Text Mining Approach to Gauge Innovation Pathways for two Solid Lipid Nanoparticles (SLNs) Applications.
Xiao Zhou, Alan L. Porter and Donghua Zhu

Analysing funding patterns and their evolution for two medical research topics 
Blanca De-Miguel-Molina, Fernando Palop and Scott W Cunningham
Presentation PowerPoint Slides

SPECIAL WORKSHOP: Patent Mapping

NOVEL METHODS 

Peaks, Slopes, Canyons, Plateaus: Identifying Technology Trends throughout the Life Cycle
Irina Efimenko, Vladimir Khoroshevsky and Oleg Ena
Presentation PowerPoint Slides

Exploring Potential Patent Portfolios: An Integrated Approach Based on Topic Identification and Correlation Analysis 
Xian Zhang, Hai-Yun Xu and Shu Fang
Presentation PowerPoint Slides

Future of Sustainable Military Operations under Emerging Energy and Security Considerations
Ozcan Saritas and Serhat Burmaoglu
Presentation PowerPoint Slides

POSTER SESSION AND RECEPTION

Strategic Analysis of Main Research Fronts in Waste Recycling Science: Evolution from 2002 to 2012 
Gaizka Garechana, Rosa Rio-Belver, Ernesto Cilleruelo-Carrasco and Jaso Larruscain-Sarasola

The Tech-Mining: A Key Capability to Support Growth
Khairul Ridzwan Ibrahim and Mohd. Mazran Md Saari-Ibrahim

A Scientometric Analysis of Knowledge Output Performance of NSFC Supported Projects: A Case Study of Oceanography
Jianxia Ma

Comparing Trends of World’s Most Cited Scientific Studies with Turkish Scientific Nanotechnology Study using the Technology Mining Concept
Serhat Burmaoglu and Akif Tabak

Measuring invention cooperation using patent information in Colombia
Marcela Galvis Restrepo and Carolina Rivera Torres

Research on  Commercial Potential Evaluation of Emerging Technology 
Ying Huang, Ying Guo, Alan Porter, Xiao Zhou and Donghua Zhu

An Empirical Study on the Patent Early Warning Service System Using Patent Map
Fan Yang, Ying Guo and Junfang Guo, Alan Porter, Xiao Zhou

Exploring the Interdependencies of Research Funders in the UK
Daniele Rotolo , Michael Hopkins and Nicola Grassano

Mapping HRM Research: A Bibliometric Analysis of the HRM Field
Maria Markoulli, Colin Lee, and Will Felps

Corporate address thesaurus building using text clustering
Nick Kemp

Improving automatic patent classification system with language processing approach: Case of fuel cell vehicle
Samira Ranaei, Matti Karvonen, Arho Suominen, and Tuomo Kassi

Thematic change and technological progress – a mapping approach
Victoria Kayser

Technology Trends for Low-Density Polyethylene (LDPE) 
Khairul Ridzwan Ibrahim and Mohd. Mazran Md Saari-Ibrahim

Scientific Collaboration of Turkey with the EU Member States:  The Case of Nanotechnology
Zeynep Kaplan

Normalized cross-disciplinary article impact evaluation
Levente Varga, Ferenc Járai-Szabó, Dávid Deritei, Zsolt I. Lázár, István Papp, Mária Ercsey-Ravasz and Răzvan Valentin Florian

Defining Lines of Research and Curricula Via Correlation and Factorial Analysis Techniques
Ana Maria Luque Clavijo and Fernando Palop Marro

Bibliometrics in Academic Libraries as an emergent trend: Experiences in South America 
Fernando Palop, Elisabeth A. Dudziak, Sibele Fausto, Alba N. Alzate-Tabares, Diana P. Arboleda-Carmona, Paola A. Restrepo-Mazo, Diana C. Martínez-Santos, César Acevedo-Argüello and Martha Cervantes-Diaz

Structural analysis of European renewable energy R&D Network from 2000 to 2013 
Jaso Larruscain-Sarasola, Rosa Río-Belver, Ernesto Cilleruelo-Carrasco and Gaizka Garechana

Fuzzy set just past its 50-year anniversary and different fuzzy associations and organizations hold different forms of conferences and activities to celebrate this epoch-making scientific discovery. As an important branch of fuzzy theory, fuzzy decision has attracted scholars from almost all fields from psychologists, economists, to computer scientists. In this paper, we conduct a bibliometric analysis on fuzzy decision-related research to find out some underlying patterns and dynamics in this research direction. A total of 13,901 fuzzy decision-related publication records from Web of Science are analyzed with the aid of the text-mining software Vantage Point. Many interesting results with regard to the annual trends, the top players in terms of country level, time dynamic as well as institutional level, the publishing journals, the highly cited papers, and the research landscape are yielded and explained in-depth. It is observed that some small or developing economies (such as China, Iran, Taiwan, and Turkey) are quite active in fuzzy decision research. The fuzzy decision theories and methods have increasingly be utilized in various fields evidenced by the growing number of disciplines involved in the fuzzy decision research.

http://link.springer.com/article/10.1007/s40815-016-0272-z

Author(s): Weishu Liu, Huchang Liao
Organization(s): Zhejiang University of Finance and Economics, Sichuan University
Source: International Journal of Fuzzy Systems
Year: 2016

Many countries define policies to manage oceans and coastal areas in order to utilize marine ecosystems strategically. When we reviewed the strategies and policies of various countries in relation to ocean sustainability, we found that biodiversity preservation is a key issue for policies related to sustainable marine development. We investigated the research trends and collaboration status of China, Japan and South Korea regarding marine biodiversity through the analysis of scientific articles using bibliometric analysis. The results showed that Japan collaborated the most with other countries compared to China and South Korea. All three countries collaborated with the Organization for Economic Cooperation and Development (OECD) and Association of Southeast Asian Nations (ASEAN) countries frequently. South Korea showed the strongest inter-collaboration amongst China, Japan and South Korea. Microorganism research is a common research topic in China, Japan and South Korea. Each country demonstrated its own prominent research area, such as local region research in China, deep-sea research in Japan and aquaculture research in South Korea.

http://www.mdpi.com/2071-1050/8/10/1075

Author(s): Jungjoon Kim, Sangpil Lee, We Shim, and Jongseok Kang
Organization(s): Korea Institute of Science and Technology Information, Korea University of Science and Technology
Source: Sustainability
Year: 2016

Anticipating future pathways of Science, Technologies, and Innovations is a complex task in any R&D field and is even more challenging for the complex landscape of promising R&D directions in multiple fields. As a solution, this study analyzes research papers in Scientometrics and Technology mining. It presents an approach and text mining tools for building maps of science of a special kind which is called the Map of Science Squared. Nodes of maps corresponding to R&D fields and locations (e.g., as centers of excellence) are created, weighted, and coupled whenever possible based on processing full texts or abstracts of research papers. The questions to answer with this are as follows: (1) Do Scientometrics and Technology mining cover the full range of topics both in terms of breadth and depth? (2) Do research papers appear “at the right time,” i.e., just or soon after emergence of a topic? (3) Do researchers link R&D fields in non-traditional ways through their studies? (4) What fields are locally bound? (5) What conclusions on future pathways of Science, Technologies, and Innovations can be drawn on the basis of the analysis of the Scientometrics and Technology mining agenda?

Author(s): Irina V. Efimenko , Vladimir F. Khoroshevsky, Ed. C. M. Noyons
Organization(s): Higher School of Economics, Dorodnitsyn Computing Center,  Leiden University
Source: Anticipating Future Innovation Pathways Through Large Data Analysis
pp 71-96
Year: 2016

This paper performs a quantitative analysis of trends in technology mining (TM) approaches using 5 years (2011–2015) of Global TechMining (GTM) conference proceedings as a data source. These proceedings are processed with a help of Vantage Point software, providing an approach “tech mining for analyzing tech mining.” Through quantitative data processing (bibliometric analysis, natural language processing, statistical analysis, principal component analysis (PCA)), this study presents an overview, explores dynamics and potentials for existing and advanced TM methodologies in three layers: related methods, data sources, and software tools. The main groups and combinations of TM and related methods are identified. Key trends and weak signals concerning the use of existing (natural language processing (NLP), mapping, network analysis, etc.) and emerging methods (web scraping, ontology modeling, advanced bibliometrics, semantic the theory of inventive problem solving (TRIZ), sentiment analysis, etc.) are detected. The results are considered to be taken as a guide for researchers, practitioners, or policy makers involved in foresight activity.

Author(s): Nadezhda Mikova
Organization(s): Higher School of Economics
Source: Anticipating Future Innovation Pathways Through Large Data Analysis pp 59-69
Year: 2016

Tech Mining is a special form of large data analytics that extracts useful intelligence from search results on a target topic or organization downloaded from global Science, Technology & Innovation (ST&I) databases. This book presents 18 chapters covering advances in analytical frameworks, text anlaytic methods to treat ST&I data effectively, informative indicators and compelling visualizations, and cases illustrating intelligence on likely future developments of select technologies.

http://www.springer.com/us/book/9783319390543#aboutAuthors

Editor(s): Daim, T. Porter, A.L., Chiavetta, D., and Saritas, O.
Organization(s): Portland State University, Georgia Institute of Technology, National Research University-Higher School of Economics (HSE)
Source: Springer International Publishing
Year: 2016

Part I Data Science/Technology Review
FTA as Due Diligence for an Era of Accelerated Interdiction by an Algorithm-Big Data Duo
Denis Loveridge and Cristiano Cagnin

A Conceptual Framework of Tech Mining Engineering to Enhance the Planning of Future Innovation Pathway (FIP)
Munan Li

Profile and Trends of FTA and Foresight
Per Dannemand Andersen and Lars Alkærsig

Recent Trends in Technology Mining Approaches: Quantitative Analysis of GTM Conference Proceedings
Nadezhda Mikova

Anticipating Future Pathways of Science, Technologies, and Innovations: (Map of Science)2 Approach
Irina V. Efimenko, Vladimir F. Khoroshevsky and Ed. C.M. Noyons

Part II Text Analytic Methods
Towards Foresight 3.0: The HCSS Metafore Approach—A Multilingual Approach for Exploring Global Foresights
Stephan De Spiegeleire, Freija van Duijne and Eline Chivot

Using Enhanced Patent Data for Future-Oriented Technology Analysis
Christopher L. Benson and Christopher L. Magee

Innovation and Design Process Ontology
Cherie Courseault Trumbach, Christopher McKesson, Parisa Ghandehari, Lawrence DeCan and Owen Eslinger

Generating Competitive Technical Intelligence Using Topical Analysis, Patent Citation Analysis, and Term Clumping Analysis
Ying Huang, Yi Zhang, Jing Ma, Alan L. Porter, Xuefeng Wang and Ying Guo

Identifying Targets for Technology Mergers and Acquisitions Using Patent Information and Semantic Analysis
Lu Huang, Lining Shang, Kangrui Wang, Alan L. Porter and Yi Zhang

Identifying Technological Topic Changes in Patent Claims Using Topic Modeling
Hongshu Chen, Yi Zhang and Donghua Zhu

Semi-automatic Technology Roadmapping Composing Method for Multiple Science, Technology, and Innovation Data Incorporation
Yi Zhang, Hongshu Chen and Donghua Zhu

Generating Futures from Text—Scenario Development Using Text Mining
Victoria Kayser and Erduana Shala

Part III Anticipating the Future—Cases and Frameworks
Additive Manufacturing: Importance and Challenges for Latin America
Marisela Rodríguez Salvador, Ana Marcela Hernández de Menéndez and David Alfredo Arcos Novillo

The Application of Social Network Analysis: Case of Smart Roofing
Tugrul U. Daim, Monticha Khammuang and Edwin Garces

Building a View of the Future of Antibiotics Through the Analysis of Primary Patents
Cristina d’Urso de Souza Mendes and Adelaide Maria de Souza Antunes

Combining Scientometrics with Patent-Metrics for CTI Service in R&D Decision-Making: Practices of National Science Library of CAS
X. Liu, Y. Sun, H. Xu, P. Jia, S. Wang, L. Dong and X. Chen

Tech Mining for Emerging STI Trends Through Dynamic Term Clustering and Semantic Analysis: The Case of Photonics
Pavel Bakhtin and Ozcan Saritas

Hydrogen is a promising future energy carrier due to its high energetic content and sustainable appeal when produced via clean manufacturing processes. One of the technological challenges concerns its storage in a safe, compact, low mass and high gravimetric capacity manner. In this sense, many Hydrogen Storage Materials (HSM) have been investigated to house this source of energy, such as Simple Hydrides, Borohydrides, Metal-Organic Frameworks (MOFs), Alanates, AB5 Alloys, Ammonia Borane, Carbon Nanotubes and Graphene. Scientific advances aside, less attention has been paid in establishing a panorama of the technological developments in HSM. To assess the technological advances in HSM, patent analysis can be carried out using bibliometrics and text mining approaches in order to forecast the future trend of development and the main players involved in this process. In this work, we evaluated the technological life cycle stage, HSM class prominence and the role of different countries in HSM patenting. The results show that overall HSM patenting decreased after 2007, except in the case of China. On the other hand, the USA, Japan, China and the European Union (EU) were the main patenting territories. Simple Hydrides and Borohydrides were the main classes of HSM that received more attention from the USA and the EU, while Japan had a high share in Solid Solution Alloys. The life cycle stage of HSM seems to be between the first prototype market experiences and full market deployment, even though future assessment is needed to fine-tune the analysis. The developed indicators may also support the funding of new projects and decision making.
http://www.sciencedirect.com/science/article/pii/S0360319916325241

Author(s): Lucas Faccioni Chanchetti, Sergio Manuel Oviedo Diaz, Douglas Henrique Milanez, Daniel Rodrigo Leiva, Leandro Innocentini Lopes de Faria, Tomaz Toshimi Ishikawa
Organization(s): Federal University of Sao Carlos
Source: International Journal of Hydrogen Energy
Year: 2016

This paper proposes technical keyword-based analysis of patents to monitor emerging technologies, and uses a keyword-based model in contents-based patent analysis. This study also presents methods to automatically select keywords and to identify the relatedness among them. After using text-mining tools and techniques to identify technical keywords, a technical keyword-context matrix is constructed. The relatedness between pairs of keywords is then identified in a transformation of this matrix. Patent documents are clustered by using a hierarchical clustering algorithm based on patent document vectors. As a result, emerging technologies can be monitored by identifying clusters composed of technical keywords. A case study of mechanisms of electron transfer in electrochemical glucose biosensors is given to demonstrate how the proposed method can monitor emerging technologies.

http://www.sciencedirect.com/science/article/pii/S0040162516302256

Author(s): Junegak Joung, Kwangsoo Kim
Organization(s): Pohang University of Science and Technology
Source: Technological Forecasting and Social Change
Year: 2016