2019년 2월 22일 한국관광공사 서울센터에서 있었던 "스마트관광&빅데이터,AI세미나 : 관광산업과 인공지능의 역할" 세미나에서 발표했던 스마트 관광과 지식베이스 발표자료 입니다.

1. Photo by rawpixel on Unsplash
관광 지식베이스와
스마트 관광 서비스
이명진
Ph.D.
주식회사 리스트 CTO

2. Pebble Beach and 17-Mile Drive have a storied tradition as a bucket-list destination.
But as they aim to attract a new generation of younger and more tech savvy travelers,
this has increased expectations for how to create a more engaging and personalized journey.
https://www.pebblebeach.com/content/uploads/Pebble_Beach_Arrowhead_13557_copy-ES.jpg

4. to the application of information and communication technology for developing innovative tools in tourism
Smart Tourism
Internet of Tings Mobile Communication
Cloud Computing Artificial Intelligence
• the network of devices such as
vehicles, and home appliances
• realize increased operational
efficiency and more personalized
guest experience
• on sharing of resources to achieve
coherence and economies of scale
• cost-effective innovation quickly
• the primary interaction channel
• In 2019 the number of mobile
phone users is forecast to reach
4.68 billion.
• intelligence demonstrated by
machines
• automated, personalized and
intelligent travel services
http://www.wi2wi.com/images/bodyscreen1.png
https://iwsinc.com/wp-content/uploads/2018/05/pillphone-smartphone.png
http://3.bp.blogspot.com/-ICnZfeA1hJ8/VX5k0xF3vXI/AAAAAAAAN38/QgbPAoQJHbY/s1600/Cloud-computing-concept_nobg.png
https://www.kreyonsystems.com/images/AIbusinessfinal.png

5. Artificial Intelligence
• the study of "intelligent agents": any device that perceives its environment and takes actions that
maximize its chance of successfully achieving its goals
• a system’s ability to correctly interpret external data, to learn from such data, and to use those learnings
to achieve specific goals and tasks through flexible adaptation
https://clipground.com/images/5-pieces-clipart-10.jpg
Symbolic Approach Sub-Symbolic Approach
describing and
manipulating our
knowledge of the
world as explicit
symbols
calculations
according to some
principles that have
demonstrated to be
able to solve
problems
AI
Approaches

6. https://sift.com/image/sift-edu/prevent-fraud/fraud-solutions/machine-learning-2x.png
https://cdn-images-1.medium.com/max/1200/1*U0-H9Af2FT-DK0nnHhaoJQ.png
Sub-Symbolic AI
• to approach intelligence without specific
representations of knowledge
• the idea that systems can learn from
data, identify patterns and make
decisions with minimal human
intervention

7. https://www.researchgate.net/publication/221152559_A_Path-based_Relational_RDF_Database
https://twitter.com/kidehen/status/884052454295445505
Symbolic AI
• to represent knowledge about world
explicitly using some formal knowledge
representation language
• to derive new knowledge using
reasoning system

8. a technology used to store complex structured and unstructured information used by a computer system
Knowledge-base
https://wiki.dbpedia.org/sites/default/files/DBpediaLogoFull.png
https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcShCVNMoom6iYblXzxX-NKEx7uHVRygV_YpYAxbAEeEfQXsH8RX
https://tech.africa/wp-content/uploads/Google-Knowledge-Graph.jpg
• a collection of interlinked descriptions of entities – real-
world objects, events, situations or abstract concepts
• authoritative sites, such as Wikipedia, CIA World Factbook
and Freebase, used by Google to gather data about people,
events, animals, events, history and other topics.
• 70 billion facts in October 2016
• a project aiming to extract structured content from the
information created in the Wikipedia project
• available on the World Wide Web
• 4.58 million things including 1,445,000 persons, 735,000
places, 411,000 creative works, 241,000 organizations,
251,000 species and 6,000 diseases in the English version
of the DBpedia

9. https://lod-cloud.net/
국립중앙도서관 국가서지LOD 한국시설안전공단 시설물안전정보LOD
국립수목원 생물정보LOD 서울특별시 서울열린데이터광장LOD
한국관광공사 LOD KDATA

10. voice pickup speech recognition conversational AI question answering
answering generationnatural language
generation
speech synthesisvoice output
https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR1ayWgWdf-hL6H96Jbv_v6bB5Bo03O1r_nrG7MLZr7NTh6UQCpiQ
http://www.insideronline.org/wp-content/uploads/2016/06/free-speech-icon.gif
http://www.iconarchive.com/download/i86459/graphicloads/long-shadow-documents/document-filetype-text.ico
https://www.parson-europe.com/images/einzelbilder/PAG_Icons_Wissensmanagement.png
https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTMBZDOrULLUcb9UsC12DqFfgL388ACHlykOA2bT03nXqcs2SdAJQ

11. http://kips.or.kr/society/kips/homepage/bbs/557/1235
*
**

12. http://kips.or.kr/society/kips/homepage/bbs/557/1235
* **

13. https://s3-torquehhvm-wpengine.netdna-ssl.com/uploads/2017/09/wp-knowledgebase-plugin.png
http://www.goeasybd.com/wp-content/uploads/2018/08/TOURISM.jpg
Knowledge-base + Tourism

14. https://vignette.wikia.nocookie.net/smurfs/images/7/71/Tourist_Smurf_SV.png/revision/latest?cb=20161016234608
https://www.kisspng.com/png-darwin-cartoon-illustration-australian-travel-cart-163601/preview.html
http://www.xmitter.com/img/icons/online_booking_engine.png
https://assets.moneymax.ph/blog/ph_PH/wp-content/uploads/2018/08/credit-card-2761073_640.png
https://cdn.pixabay.com/photo/2017/10/25/18/10/peer-review-icon-2888794_960_720.png
https://ecommerceguide.com/wp-content/uploads/2015/11/synching-social-media.png

15. Hotel companies seeking to optimize revenue management in today’s competitive
environment should consider the following: Data integration across enterprise systems,
breaking down data silos and opening up RMS(Revenue Management Strategies) to
access and process more complex data feeds in a more flexible fashion.
Starwood combines data about weather, economic factors and local events to extract insights that help
them decide when to launch promotions or how to price offerings.
https://upload.wikimedia.org/wikipedia/commons/thumb/5/55/Ernst_%26_Young_logo.svg/220px-Ernst_%26_Young_logo.svg.png
https://en.wikipedia.org/wiki/Starwood#/media/File:Starwood_Hotels_and_Resorts_logo.svg

16. • Knowledge-base makes to create semantically-rich links
between data from various heterogeneous sources so
that both the tourism industry and travelers benefit
from the business insights of big data analytics.
• Knowledge-base makes data integration smoother for
an enhanced management of both internal and external
data.
https://cdn.wordlift.io/blog/en/wp-content/uploads/sites/3/2016/10/linked-data-knowledge.png

18. 숙박업소 지식베이스
https://www.yanolja.com/hotel/3012015?checkinDate=2019-02-13&checkoutDate=2019-02-13&list=3rdHotel&position=1
* *

19. 2명 숙박할 수 있는
가까운 호텔 좀 알려줘!
2명 숙박할 수 있는 가까운 호텔 좀 알려줘!
SELECT ?호텔
WHERE {
?호텔 is-a 호텔 .
?호텔 보유객실 ?객실 .
?객실 기준인원 2명 .
?호텔 nearby (37.493168 127.030014 1 km)
}
2명, (127.030014, 37.493168), 호텔
https://m.post.naver.com/viewer/postView.nhn?volumeNo=10127559&memberNo=34646617
https://www.flaticon.com/free-icon/wedding-couple_146447
http://www.ku.ac.ke/ict/images/resources_imgs/knowlwdgebase.png
글*드 강남 코엑스 센터

21. References
• IBM and Pebble Beach Company, https://www.ibm.com/sports/pebble-beach
• Pebble Beach, https://www.ibm.com/case-studies/e970253f25300f84
• How Artificial Intelligence will impact the Future of Tourism, https://www.youtube.com/watch?v=Osym1I8hIjg
• Pebble Beach with Watson, https://www.youtube.com/watch?v=MvNZs_vts8M
• Smart tourism, https://en.wikipedia.org/wiki/Smart_tourism
• 4 Emerging Trends of Artificial Intelligence in Travel, https://www.newgenapps.com/blog/artificial-intelligence-in-travel-emerging-trends
• Number of mobile phone users worldwide from 2015 to 2020 (in billions), https://www.statista.com/statistics/274774/forecast-of-mobile-phone-users-worldwide/
• 8 Ways in Which IoT is Shaping the Future of Travel Industry, https://www.digitaldoughnut.com/articles/2018/january/ways-in-which-iot-is-shaping-the-future-of-travel
• Can you hear me now? Far-field voice, https://towardsdatascience.com/can-you-hear-me-now-far-field-voice-475298ae1fd3
• Artificial intelligence, https://en.wikipedia.org/wiki/Artificial_intelligence#Statistical_learning
• Artificial Intelligence, https://slideplayer.com/slide/7428478/
• Understanding the difference between Symbolic AI & Non Symbolic AI, https://www.analyticsindiamag.com/understanding-difference-symbolic-ai-non-symbolic-ai/
• A Path-based Relational RDF Database, https://www.researchgate.net/publication/221152559_A_Path-based_Relational_RDF_Database
• Knowledge-based systems, https://en.wikipedia.org/wiki/Knowledge-based_systems
• Evolution of machine learning, https://www.sas.com/en_us/insights/analytics/machine-learning.html
• 인공지능 서비스 누구(NUGU) 기술 소개, http://kips.or.kr/society/kips/homepage/bbs/557/1235
• Knowledge base, https://en.wikipedia.org/wiki/Knowledge_base
• What is a Knowledge Graph?, https://www.ontotext.com/knowledgehub/fundamentals/what-is-a-knowledge-graph/
• The Beginner’s Guide to Google’s Knowledge Graph, https://neilpatel.com/blog/the-beginners-guide-to-the-googles-knowledge-graph/
• DBpedia, https://en.wikipedia.org/wiki/DBpedia
• Learn about DBpedia - Facts & Figures, https://wiki.dbpedia.org/about/facts-figures
• Linked Data Paths To A Smart Tourism Journey, https://www.ontotext.com/linked-data-paths-smart-tourism-journey/

22. Myungjin Lee
LiST, Linked Data and Semantic Web Technology
Ph.D. / CTO
e-Mail : mjlee@LiSTInc.kr
Twitter : http://twitter.com/MyungjinLee
Facebook : http://www.facebook.com/mjinlee
SlideShare : http://www.slideshare.net/onlyjiny/