Category Archives: Data Type

Autonomous systems: A bibliometric and patent analysis (full-text)

This report examines Germany’s research and patent position in four autonomous systems: smart homes, smart factories, autonomous vehicles (non-hostile environments), and autonomous vehicles in hostile environments. Bibliometric analysis of scholarly papers indexed in the Web of Science and patent analysis of documents in Patstat and Derwent Innovation Index (representing patents from more than 40 patent authorities worldwide) are conducted for all records published in the 2002 to 2017 (May) time
period. Results suggest that Germany has great strengths in autonomous systems, particularly in the smart factory and autonomous vehicles domains. German research publications are particularly strong in hard technological areas such as representation, localization, computer vision, and sensor vision. The diversity of research organizations and patenting sectors is another strength of Germany’s. German patents also
benefit from being more science-based and international than those from other comparator nations. On the other hand, Germany has less research publication and patent output in the smart home and autonomous vehicles in hostile environment system domains. Germany is less likely to show strength in data analytic and machine learning areas.

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Author(s): Jan Youtie, Alan Porter, Philip Shapira, Seokkyun Woo, Yayun Huang
Organization(s): Georgia Institute of Technology
Source: Studien zum deutschen Innovationssystem
Year: 2017

Gender distinctions in patenting: Does nanotechnology make a difference?

Analyzing the domestic patent records filed with the United State Patent and Trademark Office (USPTO) in the 16-year time period from 1990 to 2005, this study benchmarks the collaboration patterns and gender-specific performance in patenting nanotechnology, a newly emerging field, with those in the general area across all technological fields (thereafter the overall tech area, a proxy of traditional technological fields). Going beyond what has been discovered in a previous study that women’s involvement in patenting is lower than their male peers in nanotechnology, the empirical evidence reported here suggests that the gap to women’s disadvantage was smaller in nanotechnology than in the overall tech area in the studied period. The major finding of this study is that, while more than 90% of patents across fields were from industry where patenting is least likely to be collaborative, nano-patents have more diverse origins (79% from industry and 21 from universities, government, public institutions, and cross-sectoral collaboration) and are more likely to be collaborative outcomes (including those from industry). The profile of nanotechnology patents in terms of workforce sectors has the implication that nanotechnology presents an environment where women are more able to catch collaborative opportunities and engage in patenting. Implications for future research are discussed correspondingly.

Author(s): Yu Meng
Organization: Xiamen University
Source: Scientometrics
Year: 2018

A landscape of bioinformatics patents – Garnering of IPR in the field of bioinformatics

In the current information technology era, Bioinformatics is growing rapidly due to availability of vast database systems and the ever increasing amount of biological data. It is a flexible and creative means of storing, managing, and querying of complex biological datasets. With these rapid advancements in today’s technology-driven age, it is also imperative that protection in the form of Intellectual Property Rights (IPR) is sought for such research and development activity. In addition, there is a need to formulate an aggressive strategy to protect one’s IP. In fact, various companies’, universities’, institutions’ and researchers’ are into the process to protect their core invention. This landscape will give an outline of the latest technological growth, geographical distribution, and top competitors playing an important role in this field.

Author(s): Neha Mago, Nishad Deshpande, Rajkumar R.Hirwani
Organization(s): CSIR-Unit for Research and Development of Information Products (CSIR-URDIP)
Source: World Patent Information
Year: 2017

Assessing technological developments in amorphous/glassy metallic alloys using patent indicators

Alloys with an amorphous structure represent a class of advanced metallic materials which have great potential for industrial applications and technological innovations as a consequence of their interesting chemical, mechanical and magnetic properties. Considerable effort has been devoted to investigating scientific issues concerning these alloys, but less attention has been paid to assessing the impact of this accumulated knowledge regarding the development of new materials, products and processes. In this study, we evaluated the technological developments in metallic glass using patent indicators. Patent documents are a valuable source of information as they reflect R&D activities and market issues. Data and text mining processing were carried out in order to extract useful indicators from bibliographic records of patent documents indexed in the worldwide Derwent Innovations Index database. The results evaluated the technological advances and showed the life-cycle stage of developments and the interests of companies, research institutions and countries. This study mapped the main alloys and manufacturing processes that have been patented. Amorphous metallic alloys have become ever increasingly important for technological developments regarding metallic alloys in general, and the indicators developed in this study can be used as a source to support decision making in funding new projects and in R&D management.

Author(s): Douglas H. Milanez, Leandro I.L. Faria, Daniel R. Leiva, Claudio S. Kiminami, Walter J. Botta
Organization(s): Federal University of São Carlos
Source: Journal of Alloys and Compounds
Year: 2017

A hybrid similarity measure method for patent portfolio analysis

Similarity measures are fundamental tools for identifying relationships within or across patent portfolios. Many bibliometric indicators are used to determine similarity measures; for example, bibliographic coupling, citation and co-citation, and co-word distribution. This paper aims to construct a hybrid similarity measure method based on multiple indicators to analyze patent portfolios. Two models are proposed: categorical similarity and semantic similarity. The categorical similarity model emphasizes international patent classifications (IPCs), while the semantic similarity model emphasizes textual elements. We introduce fuzzy set routines to translate the rough technical (sub-) categories of IPCs into defined numeric values, and we calculate the categorical similarities between patent portfolios using membership grade vectors. In parallel, we identify and highlight core terms in a 3-level tree structure and compute the semantic similarities by comparing the tree-based structures. A weighting model is designed to consider: 1) the bias that exists between the categorical and semantic similarities, and 2) the weighting or integrating strategy for a hybrid method. A case study to measure the technological similarities between selected firms in China’s medical device industry is used to demonstrate the reliability our method, and the results indicate the practical meaning of our method in a broad range of informetric applications.


  • An application that introduces fuzzy sets to transform IPCs to numeric values.
  • A 3-level tree structure that arranges terms hierarchically for similarity measure.
  • A study that applies similarity measure for technology mergers and acquisitions.

Author(s): Yi Zhang, Lining Shang, Lu Huang, Alan L. Porter, Guangquan Zhang, Jie Lu, Donghua Zhu
Organization(s): University of Technology Sydney, Beijing Institute of Technology, Georgia Institute of Technology
Source: Journal of Informetrics
Year: 2016

Effects of innovation management system standardization on firms: evidence from text mining annual reports

Using a management formula to standardize innovation management can be thought of as deeply contradictory, however, several successful firms in Spain have been certified under the pioneer innovation management standard UNE 166002. This paper analyzes the effects that standardization has in the attitudes and values as regard to innovation for a sample of firms by text-mining their corporate disclosures. Changes in the relevance of the concepts, co-word networks and emotion analysis have been employed to conclude that the effects of certification on the corporate behavior about innovation are coincident with the open innovation and transversalization concepts that UNE 166002 promotes.

Author(s): Gaizka Garechana, Rosa Río-Belver, Iñaki Bildosola, Marisela Rodríguez Salvador
Organization(s): University of the Basque Country UPV/EHU, Tecnológico de Monterrey
Source: Scientometrics
Year: 2017

Annual reports have been text-mined using the NLP tools provided by Vantage Point software to capture the concepts occurring in the vicinity of SI terms and the changes in concepts and their relationships, in addition to emotions, have been analyzed.

Patent information retrieval: approaching a method and analysing nanotechnology patent collaborations

Many challenges still remain in the processing of explicit technological knowledge documents such as patents. Given the limitations and drawbacks of the existing approaches, this research sets out to develop an improved method for searching patent databases and extracting patent information to increase the efficiency and reliability of nanotechnology patent information retrieval process and to empirically analyse patent collaboration. A tech-mining method was applied and the subsequent analysis was performed using Thomson data analyser software. The findings show that nations such as Korea and Japan are highly collaborative in sharing technological knowledge across academic and corporate organisations within their national boundaries, and China presents, in some cases, a great illustration of effective patent collaboration and co-inventorship. This study also analyses key patent strengths by country, organisation and technology.

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Author(s): Sercan Ozcan, Nazrul Islam
Organization(s): University of Portsmouth, University of Exeter
Source: Scientometrics
Year: 2017

The global objective of sustainable development up to 2030 and the BRICS: the analysis of the feasibility and effectiveness of the synergies

The article contains analysis of renewed Sustainable Development Goals (SDGs) for the period up to 2030, characteristic of the development of cooperation among BRICS countries during Russia’s chairmanship in the union. It also relates to specific features of interaction of BRICS countries on environmental SDGs. Special attention is paid to the issue of climate change and its consequences in light of the decisions of Paris summit of 2015. In particular the article focuses on goals and tasks of BRICS countries related to climate change and response to it, decreasing emissions of greenhouse gases. The authors also consider the issues of and prospects for using renewable energy sources by BRICS countries, development of cooperation within the framework of BRICS Initiative on research and innovation .Qualitative approach is based on the literature review and consultations with the experts, while quantitative analysis includes collecting the news from Factiva database and processing it in Vantage Point software using bibliometric analysis and natural language processing.

Author(s): Korobov NL, Terentyev AA
Organization: National Research University Higher School of Economics
Source: BRICS Countries: development strategies and mechanisms for coordination and cooperation in a changing world. Proceedings of the First International Scientific and Practical Conference, INION, 2-3 November 2015

International Collaboration Patterns and Effecting Factors of Emerging Technologies

With the globalization of the world economy, international innovation collaboration has taken place all over the world. This study selects three emerging technologies (3D printing, big data and carbon nanotubes and graphene technology) among 20 countries as the research objects, using three patent-based indicators and network relationship analysis to reflect international collaboration patterns. Then we integrate empirical analyses to show effecting factors of international collaboration degrees by using panel data. The results indicate that while 3D printing technology is associated with a “balanced collaboration” mode, big data technology is more accurately described by a radial pattern, centered on the United States, and carbon nanotubes and graphene technology exhibits “small-world” characteristics in this respect. It also shows that the factors GDP per capita (GPC), R&D expenditure (RDE) and the export of global trade value (ETV) negatively affect the level of international collaboration. It could be useful for China and other developing countries to make international scientific and technological collaboration strategies and policies in the future.

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Author(s): Xu Bai, Yun Liu
Organization(s): Beijing Institute of Technology
Source: PLoS ONE
Year: 2016

Big Data and Business: Tech Mining to Capture Business Interests and Activities around Big Data

Innovations around “Big Data” can be characterized in terms of rapid technology development and deployment dynamics. For this purpose, combining “tech mining” (extraction of usable intelligence) from publication and patent databases with tech mining of business-related databases can elucidate activities and interests of business communities regarding Big Data innovation pathways. In this paper, we focus on commercially oriented databases — ABI/INFORM as a source from which to extract business intents. We select the database to help gauge “hot topics” in industry with regard to Big Data. Our results show that certain types of firms can be clustered into thematic groups relating to Big Data discussions and activities. In the paper we demonstrate that such analyses can illuminate themes being pursued by businesses. Like social media analyses, this text mining can provide useful intelligence to inform more in-depth investigation mobilizing other data sources and techniques.

Author(s):  Ying Huang ; Jan Youtie ; Alan L. Porter ; Douglas K.R. Robinson ; Scott W. Cunningham ; Donghua Zhu
Organization(s): Beijing Institute of Technology, Georgia Institute of Technology
Source: 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom)
Year: 2016