Author: VPInstitute
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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…
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Text mining to gain technical intelligence for acquired target selection: A case study for China’s computer numerical control machine tools industry
Technology strategy plays an increasingly important role in today’s Mergers and Acquisitions (M&A) activities. Informing that strategy with empirical intelligence offers great potential value to R&D managers and technology policy makers. This paper proposes a methodology, based on patent analysis, to extract technical intelligence to identify M&A target technologies and evaluate relevant target companies to…
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A Mapping of Marine Biodiversity Research Trends and Collaboration in the East Asia Region from 1996–2015
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…
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Climate Change and Our Future: Anticipating Trends and Challenges Using Media Data
This paper proposes a multidisciplinary approach to understanding the future perspectives of climate change. First, it analyzes the possibilities of using the media as an information source for anticipating trends and challenges in this area through exploring the topics that have been actively discussed in the news in the recent 5 years. Second, qualitative and…
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Anticipating Future Pathways of Science, Technologies, and Innovations: (Map of Science)2 Approach
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…
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Generating Competitive Technical Intelligence Using Topical Analysis, Patent Citation Analysis, and Term Clumping Analysis
Because of the flexibility and complexity of Newly Emerging Science and Technologies (NESTs), traditional statistical analysis fails to capture technology evolution in detail. Tracking technology evolution pathways supports industrial, governmental, and academic decisions to guide future development trends. Patents are one of the most important NESTs data sources and are pertinent to developmental paths. This…
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Building a View of the Future of Antibiotics Through the Analysis of Primary Patents
The primary patent application of a new drug is the application that claims the chemical structure of that new compound and is usually the first patent filled regarding that new drug. Therefore, the analysis of the recent primary patents in a therapeutic group reflects the results of the research toward finding new compounds and allows…
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Recent Trends in Technology Mining Approaches: Quantitative Analysis of GTM Conference Proceedings
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…
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Combining Scientometrics with Patent-Metrics for CTI Service in R&D Decision-Making: Practices of National Science Library of CAS
Scientometric analysis and text-mining have been applied to scientific and technological trend-tracking and related scientific performance evaluations for several years in China. Since 2012, NSL-CAS provides CTI (competitive technical intelligence) services based on metrics for supporting R&D decision-making. NSL helps technology-based firms improve their innovation capabilities via CTI, for technology novelty review, selection of innovation…
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Nano-enabled Drug Delivery in Cancer Therapy: Literature Analysis Using the MeSH System
Biomedical literature provides abundant knowledge on R&D development and emerging themes and techniques to researchers and to enhance clinical treatment. Tracing research topic activity and researcher connections, and understanding evolving research landscapes, supports identification of research domain potential and informs R&D portfolio management. Methods: We offer a systematic approach to summarize biomedical research information compiled…