**3.1. IP landscape**

Recently "IP landscape" has been referred in the field of intangible assets. IP landscape provides not only a snapshot but also a strategic analysis of the IP trends of a specific technology field within either a given company or a given country. It is said that the techniques or tools in scientometrics are very useful for the needs of IP landscape as following:


#### **3.2. Data-driven innovation**

**2. Main points of this book**

4 Scientometrics

organizations, and funding agencies.

many different nationalities from Europe to Asia.

useful for the scientometrics community.

**3.1. IP landscape**

**(ii)** building a simple model,

**3. Conclusions and future perspective**

multiple disciplines will be a very important issue.

Technological change is one of the greatest issues in the modern world. As the world faces societal challenges, for example, climate challenges, aging problem, and energy security, technology will contribute to new or better solutions for those problems. New technologies take longer to develop and mature; moreover which tend to be born in the interconnection of multiple technology fields, therefore early detection of emerging technological concepts across

Our goal is to seek to develop automated methods that aid the systematic, continuous and comprehensive assessment of technological emergence using one of the major foresight exercises, scientometrics. There is now a huge flood of scientific and technical information, especially scientific publications and patent information. Using the information patterns of emergence for technological concepts have been discovered and theories of technical emergence have also been developed in several years. We have been developing visualization tools that thousands of technical areas have been interacted with each other and evolved in time. Several indicators of technical emergence have been improved by universities, international

This book intends to provide readers a comprehensive overview of the current state-of-the-art in scientometrics, focusing on the systematic, continuous and comprehensive assessment of technological emergence. This book is composed of 12 chapters by cutting-of-edge authors of

Especially the chapter "Mapping Science based on research content similarity" by Dr Kawamura shows an interesting methodology for analyzing publications based on an adaptation of word embedding and paragraph embedding with an entropy-based word clustering methodology. The proposed combination of word embedding and entropy-based approach is very

Last but not least, we would like to mention an expected future landscape of this field. Now it is evolutionary time from basic research phase to implementation phase and scientometrics

Recently "IP landscape" has been referred in the field of intangible assets. IP landscape provides not only a snapshot but also a strategic analysis of the IP trends of a specific technology field within either a given company or a given country. It is said that the techniques or tools

will be expected to be applied to the fields below at the implementation level.

in scientometrics are very useful for the needs of IP landscape as following:

**(i)** understanding of IP for products and technologies,

Recently, creating a new business and solving social problems utilizing big data have been expected to increase. The Ministry of Economy, Trade and Industry in Japan is supporting business creation through data utilization, and enterprises are developing advanced measures in the fields such as agriculture and medical care. On the other hand, new cooperation beyond industrial barriers between a present entity and a new entity created sharing data is still limited. For the economic development in near future, so-called "Data-Driven Innovation" will be necessary for firms: for example firms will utilize data sharing beyond entities, creating new added value. Since companies, especially SMEs, have rarely data scientists who deal with big data, scientometrics indicator or tools thereof can contribute to enhancement of the data-driven innovation.

#### **3.3. Fields close to scientometrics**

Although "scientometrics" is mainly a study of relations between text of articles or patents and their authors/institutions, it is also highly corresponded to "science of sociology" which is mainly a study of relations between authors/institutions and text networking, or AI-related fields like "semantic search" and "machine translation." Interdisciplinary research with other fields is expected.

A reconstruction or remodeling of S&T fields above mentioned reinforces the knowledge-based development in terms of society and economy. Scientometrics will be able to foster a development of science, technology, and innovation by a quantitative perception and evidence-based policy making. Further study and development of scientometrics are expected in future.
