1.
Is Boom in Artificial
Intelligence a Global One?
Presented by Han Woo Park
Co-Authors
Muhammad Omar, Arif Mehmood, Gyu Sang Choi
Yeungnam University
Omar, M., Mehmood, A., Choi, G.S., Park, H.W.@ (2017 Online First). Global mapping of
artificial intelligence in Google and Google Scholar. Scientometrics.
https://link.springer.com/article/10.1007%2Fs11192-017-2534-4
#인공지능 분야의 국가별 현황과
전망을 #웹보메트릭스 #빅데이터 #구글데이터 이용해서 세계지도를 그렸습니다.
Presented at DISC 2016
http://watef.org/home/bbs/sub_disc_program.php
https://jceasia.org/about-journal/

2.
The Study
Investigation of world wide prevalence of AI using
– Google Trends (GT) - https://www.google.com/trends
• Using News, Web, and YouTube Categories
– Google Books Ngram Viewer- https://books.google.com/ngrams
• Using various corpora
– URL data of Search Engine(SE) results
• Google- https://www.google.com
• Google Scholar (GS)- https://scholar.google.com/

3.
Selection of Query, “artificial intelligence”
The bi-gram, artificial intelligence, umbrellas all the related terms

4.
Selection of Query, “artificial intelligence”
The bi-gram, artificial intelligence, umbrellas all the related terms

5.
Selection of Query, “artificial intelligence”
The bi-gram, artificial intelligence, is popular world wide

6.
Results- Google Books Ngram Viewer
The bi-gram, artificial intelligence, is more popular in books published in Great
Britain and United States.

7.
Results- Google Trends
Top-5 countries (a) Emphasizing a search category- You Tube, Web, and News. (b) & (c)
Emphasizing a country and its top search category.

8.
URLs Data Collection
• Search Engines Choice
– Google Scholar Vs. all
• Van Noorden et al. survey paper in Nature 2014, shows
in terms of scholarly-reach GS was ranked 1st, followed
by ResearchGate 2nd, LinkedIn 3rd, Facebook 4th,
Google+ 5th, Twitter 6th, ReseacherID 7th, Mendley 8th,
ORCID 9th, Academia.edu 10th, BiomedExperts 11th,
Microsoft Academic Search 12th
– Google Vs. Bing Vs. Yahoo Vs. Naver ?
• https://www.similarweb.com/website/google.com?c
ompetitors=bing.com

9.
URLs Data Collection- Google is famous!
https://pro.similarweb.com

10.
URLs Data Collection- Search Query
https://pro.similarweb.com
– We collected data for years 2004-2016
– Search Query
• allintitle: "artificial intelligence“
• The title of a webpage is unique
• Title is an important factor in search engine
optimization (SEO)

11.
URLs Data Collection- Web Scraping
https://pro.similarweb.com
– Data Miner https://data-miner.io
• Google chrome extension
• Free for moderate size data (free for 500 pages/month)
• Using data extraction rules, i.e. recipes, we extracted
URLs associated with hyperlinked tiles (query results)
• No programming background required
• Easy to use
• May be available fully free for academics

12.
Findings- GS is more popular in %

13.
Findings …
To quantify a concept, like AI,
• we need different approaches
• GTs, Google Ngrams Viewer and URLs data
complements each other
• GTs doesn’t show an important country for AI
• Google Books Ngram Viewer is old (upto 2008)
and don’t provide information of end users
• We also need small and targeted local area
analysis in addition to Big Data

14.
Findings …
URLs data manipulation provides Big Data
analysis easy
• We don’t need traditional hardware and
software for Big Data analytics
• We scraped/analyzed Big web data for free

15.
Findings …
• Top ranked results show that AI is popular mostly
amongst professionals researchers, programmers
– Top results reveal few countries
– But low ranked results show AI dominance all over the
globe from low income countries to high income
• If AI-based systems come to dominate human
society, humans will become completely
dependent on digital information.
• We also need to study impact of AI using theories
like McDonaldization proposed by George Reitzer.

16.
Thank You