SlideShare a Scribd company logo
데이터 읽는 남자
8번째 순서
1.
2.
3.
4.
5.
Design thinking
Types of Data
Data and Business
Computational Thinking
Data and Creativity
<source=http://althouse.biz>
Design vs 디자인
Unlike analytical thinking, design thinking is a process which includes
the "building up" of ideas, with few, or no, limits on breadth during a
"brainstorming" phase.
This helps reduce fear of failure in the participant(s) and encourages
input and participation from a wide variety of sources in the ideation
phases.
The phrase "thinking outside the box" has been coined to describe
one goal of the brainstorming phase and is encouraged, since this
can aid in the discovery of hidden elements and ambiguities in the
situation and discovering potentially faulty assumptions
<source=https://en.wikipedia.org/wiki/Design_thinking>
For design-led start-ups, innovation begins with the problem, unlike
previous high-tech start-ups, where innovation often began with
technology and only later began to look for a problem that the new
technology might solve in a way that held a business potential.
<source=http://www.qoobdesign.it>
디 자 인 씽 킹 이 란 분 석 적
사고의 숙련과 직관적 사고의
창 조 성 이 역 동 적 으 로
상호작용하여 균형을 이룬
방법이다
디자인적 사고란 소비자들이 가치 있
게 평가하고 시장의 기회를 이용할수
있으며 기술적으로 가능한 비즈니스
전략에 대한 요구를 충족시키기 위하
여 디자이너의 감수성과 작업방식을
이용하는 사고 방식이다
Design thinking as a process for
Problem-solving
디자인씽킹을
디자인 중심의
프로세스 디자인이라고 이해하고 있는데
이는 반은 맞고 반은 틀린 말
디자인씽킹은
디자인적 방법론을
경영 또는 워크 프로세스에
적용하는 것이 그 핵심
<source=http://www.fotbes.com>
20세기
제품기획 → 제품제작 → 고객영업
공급자 중심
21세기
제품기획 → 프로토타입 → 피봇(수정)
공급자 중심
Lean Startup
제품기획 → 프로토타입 → 피봇(수정)
Good enough data
공급자 중심
Design thinking
고객니즈 → 프로토타입 → 피봇(수정)
Extensive Data
수요자 중심
<source=http://www.fotbes.com>
Design Thinking &
Systematic Thinking
매우 유사
부분을 나누어 보는 것이 아니라
하나의 통합된 체계로
생각하고 구상
"Don't think of it as failure,
think of it as designing experiments
through which you’re going to learn.“
Tim Brown
CEO, IDEO
빠른실패
→ 객관적 평가(이른 시점)
→ 연속적인 경쟁우위(짧은 시점) Hyper Competition
Hyper CompetitionTraditional View
<source=ideo>
Design Thinking 의 핵심은
통합적 사고
이전의 프로세스나 혁신이
하나의 요소에 집중했다면
Design Thinking 은
틀과 사고방식의 전환을 요구
통합 또는 융합적 관점이라도
봐도 좋을 것
Types of Data
Qualitative and quantitative
<source=http://www.socialresearchmethods.net/kb/datatype.php>
Data and Business
Computational Thinking
<source=University of Oxford “The Future of Employment”>
<source=University of Oxford “The Future of Employment”>
Data and Creativity
Leading innovation is creating a space
where people are willing and able to do the
hard work of innovative problem solving
<source=http://www.tonicinsight.com/>
<source=http://wallblog.co.uk/2013/05/17/data-creative-friends-or-foes/>
Data & Creative: friends or foes?
Creativity is that which separates human beings from beasts. It is more than
just building a tool or expressing one’s “self” or drawing a picture. The ability to
be creative involves an understanding of nature that we then change and adapt
based on our needs or to solve a problem.
An educational process should involve encouraging the human mind to
conceptualize ideas, and then use our minds, our tools, and our free will to
actually transform the physical characteristics of our environment to adapt
to our ideas. Animals adapt to nature. Human beings change it. Human
beings are the creative force of nature.
An effective educational system is one which encourages the students to
be able to use existing knowledge in order to make new challenges. It is
tempting for a teacher to dictate to a student what is already acknowledged
to be true. But if this is the accepted norm of education, then innovation is
precluded. Instead, the wise teacher will encourage the student, preferably
a group of students, to discover among themselves what can be
independently shown to be true, so that they “own” the truth in the same
way that the acknowledged discoverer knows it.
<source=http://philmckinney.com/>
http://philmckinney.com/archives/2014/08/do-we-really-understand-what-it-means-to-be-creative.html
Creativity be maken?
How Pixar Fosters
Collective Creativity
The view that good ideas are
rarer and more valuable
than good people is
rooted in a misconception
of creativity.
<source=https://hbr.org/2008/09/how-pixar-fosters-collective-creativity>
"The art challenges the technology,
and the technology inspires the
art." - John Lasseter
Technology + Art = Magic
<source=https://hbr.org/2008/09/how-pixar-fosters-collective-creativity>
Data design is
connecting data
to discover
insight or creativity
Linked Open Data
The Next Agenda
Open Innovation
딜로이트 보고서
Open data_Driving growth, ingenuity and innovation
맥킨지 보고서
Open data: Unlocking innovation and performance with liquid information
OECD 보고서
Open Government Data Towards Empirical Analysis of Open Government Data Initiatives
Europeana Linked Open Data
http://labs.europeana.eu/api/linked-open-data-introduction
Reference
데이터 읽는 남자
8번째 순서

More Related Content

What's hot

Knowledge Graphs - Creating Connected Search Experiences
Knowledge Graphs - Creating Connected Search ExperiencesKnowledge Graphs - Creating Connected Search Experiences
Knowledge Graphs - Creating Connected Search Experiences
Enterprise Knowledge
 
The Future of Business Intelligence: Data Visualization
The Future of Business Intelligence: Data VisualizationThe Future of Business Intelligence: Data Visualization
The Future of Business Intelligence: Data Visualization
Kristen Sosulski
 
Great Data Delivery: A model-based approach
Great Data Delivery: A model-based approachGreat Data Delivery: A model-based approach
Great Data Delivery: A model-based approach
Zach Taylor
 
2017 06-14-getting started with data science
2017 06-14-getting started with data science2017 06-14-getting started with data science
2017 06-14-getting started with data science
Thinkful
 
What to do with a data scientist in your startup
What to do with a data scientist in your startupWhat to do with a data scientist in your startup
What to do with a data scientist in your startup
Dataconomy Media
 
Data Science Highlights
Data Science Highlights Data Science Highlights
Data Science Highlights
Joe Lamantia
 
Nurturing Data Visualization
Nurturing Data VisualizationNurturing Data Visualization
Nurturing Data Visualization
Amanda Makulec
 
From Rocket Science to Data Science
From Rocket Science to Data ScienceFrom Rocket Science to Data Science
From Rocket Science to Data Science
Sanghamitra Deb
 
Dec 21 122112 Marshall Sponder
Dec 21 122112 Marshall SponderDec 21 122112 Marshall Sponder
Dec 21 122112 Marshall Sponder
Marshall Sponder
 
Realism credai dec 2010 article
Realism credai dec 2010 articleRealism credai dec 2010 article
Realism credai dec 2010 article
realism.IN
 
New Developments in Machine Learning - Prof. Dr. Max Welling
New Developments in Machine Learning - Prof. Dr. Max WellingNew Developments in Machine Learning - Prof. Dr. Max Welling
New Developments in Machine Learning - Prof. Dr. Max Welling
Textkernel
 
Visualisation & Storytelling in Data Science & Analytics
Visualisation & Storytelling in Data Science & AnalyticsVisualisation & Storytelling in Data Science & Analytics
Visualisation & Storytelling in Data Science & Analytics
Felipe Rego
 
Pay no attention to the man behind the curtain - the unseen work behind data ...
Pay no attention to the man behind the curtain - the unseen work behind data ...Pay no attention to the man behind the curtain - the unseen work behind data ...
Pay no attention to the man behind the curtain - the unseen work behind data ...
mark madsen
 
The Human Side of Data By Colin Strong
The Human Side of Data By Colin StrongThe Human Side of Data By Colin Strong
The Human Side of Data By Colin Strong
MarTech Conference
 
AI Hierarchy of Needs
AI Hierarchy of NeedsAI Hierarchy of Needs
AI Hierarchy of Needs
Dylan
 
How to succeed at data without even trying!
How to succeed at data without even trying!How to succeed at data without even trying!
How to succeed at data without even trying!
Dylan
 
Thinkful - Intro to Data Science - Washington DC
Thinkful - Intro to Data Science - Washington DCThinkful - Intro to Data Science - Washington DC
Thinkful - Intro to Data Science - Washington DC
TJ Stalcup
 
Data Science towards the Digital Enterprise
Data Science towards the Digital EnterpriseData Science towards the Digital Enterprise
Data Science towards the Digital Enterprise
Jake Bouma
 
Beyond Data Visualization: What's next in communicating with data?
Beyond Data Visualization: What's next in communicating with data?Beyond Data Visualization: What's next in communicating with data?
Beyond Data Visualization: What's next in communicating with data?
Zach Gemignani
 
Data science vs. Data scientist by Jothi Periasamy
Data science vs. Data scientist by Jothi PeriasamyData science vs. Data scientist by Jothi Periasamy
Data science vs. Data scientist by Jothi Periasamy
Peter Kua
 

What's hot (20)

Knowledge Graphs - Creating Connected Search Experiences
Knowledge Graphs - Creating Connected Search ExperiencesKnowledge Graphs - Creating Connected Search Experiences
Knowledge Graphs - Creating Connected Search Experiences
 
The Future of Business Intelligence: Data Visualization
The Future of Business Intelligence: Data VisualizationThe Future of Business Intelligence: Data Visualization
The Future of Business Intelligence: Data Visualization
 
Great Data Delivery: A model-based approach
Great Data Delivery: A model-based approachGreat Data Delivery: A model-based approach
Great Data Delivery: A model-based approach
 
2017 06-14-getting started with data science
2017 06-14-getting started with data science2017 06-14-getting started with data science
2017 06-14-getting started with data science
 
What to do with a data scientist in your startup
What to do with a data scientist in your startupWhat to do with a data scientist in your startup
What to do with a data scientist in your startup
 
Data Science Highlights
Data Science Highlights Data Science Highlights
Data Science Highlights
 
Nurturing Data Visualization
Nurturing Data VisualizationNurturing Data Visualization
Nurturing Data Visualization
 
From Rocket Science to Data Science
From Rocket Science to Data ScienceFrom Rocket Science to Data Science
From Rocket Science to Data Science
 
Dec 21 122112 Marshall Sponder
Dec 21 122112 Marshall SponderDec 21 122112 Marshall Sponder
Dec 21 122112 Marshall Sponder
 
Realism credai dec 2010 article
Realism credai dec 2010 articleRealism credai dec 2010 article
Realism credai dec 2010 article
 
New Developments in Machine Learning - Prof. Dr. Max Welling
New Developments in Machine Learning - Prof. Dr. Max WellingNew Developments in Machine Learning - Prof. Dr. Max Welling
New Developments in Machine Learning - Prof. Dr. Max Welling
 
Visualisation & Storytelling in Data Science & Analytics
Visualisation & Storytelling in Data Science & AnalyticsVisualisation & Storytelling in Data Science & Analytics
Visualisation & Storytelling in Data Science & Analytics
 
Pay no attention to the man behind the curtain - the unseen work behind data ...
Pay no attention to the man behind the curtain - the unseen work behind data ...Pay no attention to the man behind the curtain - the unseen work behind data ...
Pay no attention to the man behind the curtain - the unseen work behind data ...
 
The Human Side of Data By Colin Strong
The Human Side of Data By Colin StrongThe Human Side of Data By Colin Strong
The Human Side of Data By Colin Strong
 
AI Hierarchy of Needs
AI Hierarchy of NeedsAI Hierarchy of Needs
AI Hierarchy of Needs
 
How to succeed at data without even trying!
How to succeed at data without even trying!How to succeed at data without even trying!
How to succeed at data without even trying!
 
Thinkful - Intro to Data Science - Washington DC
Thinkful - Intro to Data Science - Washington DCThinkful - Intro to Data Science - Washington DC
Thinkful - Intro to Data Science - Washington DC
 
Data Science towards the Digital Enterprise
Data Science towards the Digital EnterpriseData Science towards the Digital Enterprise
Data Science towards the Digital Enterprise
 
Beyond Data Visualization: What's next in communicating with data?
Beyond Data Visualization: What's next in communicating with data?Beyond Data Visualization: What's next in communicating with data?
Beyond Data Visualization: What's next in communicating with data?
 
Data science vs. Data scientist by Jothi Periasamy
Data science vs. Data scientist by Jothi PeriasamyData science vs. Data scientist by Jothi Periasamy
Data science vs. Data scientist by Jothi Periasamy
 

Viewers also liked

Balanço Social 2015 - Transferro
Balanço Social   2015 - TransferroBalanço Social   2015 - Transferro
Balanço Social 2015 - Transferro
Comunicacaoftc
 
призентация эксэрготрансформаторного двигателя. (1)
призентация эксэрготрансформаторного двигателя. (1)призентация эксэрготрансформаторного двигателя. (1)
призентация эксэрготрансформаторного двигателя. (1)
mkril
 
Evaluation Q3
Evaluation Q3Evaluation Q3
Evaluation Q3
sophiehannah200
 
Présenter un site
Présenter un sitePrésenter un site
Présenter un site
fatinamelhem
 
pagina web II
pagina web IIpagina web II
pagina web II
scriftogame
 
Carol Vernallis
Carol VernallisCarol Vernallis
Carol Vernallis
jessskinn
 
презентация авиационного двигателя сверхвысоких пораметров газа. копия
презентация  авиационного двигателя сверхвысоких пораметров газа.   копияпрезентация  авиационного двигателя сверхвысоких пораметров газа.   копия
презентация авиационного двигателя сверхвысоких пораметров газа. копия
mkril
 
Front Cover Analysis
Front Cover AnalysisFront Cover Analysis
Front Cover Analysis
jessskinn
 
[Week1] 데이터의 접근과 법률
[Week1] 데이터의 접근과 법률 [Week1] 데이터의 접근과 법률
[Week1] 데이터의 접근과 법률
neuroassociates
 
[week4] Cleaning data with openrefine2
[week4] Cleaning data with openrefine2[week4] Cleaning data with openrefine2
[week4] Cleaning data with openrefine2
neuroassociates
 
[Week3] clean & correct data with OpenRefine
[Week3] clean & correct data with OpenRefine[Week3] clean & correct data with OpenRefine
[Week3] clean & correct data with OpenRefine
neuroassociates
 
[Week4] Google refine
[Week4] Google refine[Week4] Google refine
[Week4] Google refine
neuroassociates
 
[Week6] Getting started with R
[Week6] Getting started with R[Week6] Getting started with R
[Week6] Getting started with R
neuroassociates
 
[Week8]R_ggplot2
[Week8]R_ggplot2[Week8]R_ggplot2
[Week8]R_ggplot2
neuroassociates
 
Practical Data Visualization
Practical Data VisualizationPractical Data Visualization
Practical Data VisualizationAngela Zoss
 
[week9]R_statics
[week9]R_statics[week9]R_statics
[week9]R_statics
neuroassociates
 
[week14] Getting started with D3.js
[week14] Getting started with D3.js[week14] Getting started with D3.js
[week14] Getting started with D3.js
neuroassociates
 

Viewers also liked (20)

Balanço Social 2015 - Transferro
Balanço Social   2015 - TransferroBalanço Social   2015 - Transferro
Balanço Social 2015 - Transferro
 
призентация эксэрготрансформаторного двигателя. (1)
призентация эксэрготрансформаторного двигателя. (1)призентация эксэрготрансформаторного двигателя. (1)
призентация эксэрготрансформаторного двигателя. (1)
 
Evaluation Q3
Evaluation Q3Evaluation Q3
Evaluation Q3
 
Présenter un site
Présenter un sitePrésenter un site
Présenter un site
 
Keeton Pss 21
Keeton Pss 21Keeton Pss 21
Keeton Pss 21
 
pagina web II
pagina web IIpagina web II
pagina web II
 
Carol Vernallis
Carol VernallisCarol Vernallis
Carol Vernallis
 
__JOB_STRENGTHS
__JOB_STRENGTHS__JOB_STRENGTHS
__JOB_STRENGTHS
 
735
735735
735
 
презентация авиационного двигателя сверхвысоких пораметров газа. копия
презентация  авиационного двигателя сверхвысоких пораметров газа.   копияпрезентация  авиационного двигателя сверхвысоких пораметров газа.   копия
презентация авиационного двигателя сверхвысоких пораметров газа. копия
 
Front Cover Analysis
Front Cover AnalysisFront Cover Analysis
Front Cover Analysis
 
[Week1] 데이터의 접근과 법률
[Week1] 데이터의 접근과 법률 [Week1] 데이터의 접근과 법률
[Week1] 데이터의 접근과 법률
 
[week4] Cleaning data with openrefine2
[week4] Cleaning data with openrefine2[week4] Cleaning data with openrefine2
[week4] Cleaning data with openrefine2
 
[Week3] clean & correct data with OpenRefine
[Week3] clean & correct data with OpenRefine[Week3] clean & correct data with OpenRefine
[Week3] clean & correct data with OpenRefine
 
[Week4] Google refine
[Week4] Google refine[Week4] Google refine
[Week4] Google refine
 
[Week6] Getting started with R
[Week6] Getting started with R[Week6] Getting started with R
[Week6] Getting started with R
 
[Week8]R_ggplot2
[Week8]R_ggplot2[Week8]R_ggplot2
[Week8]R_ggplot2
 
Practical Data Visualization
Practical Data VisualizationPractical Data Visualization
Practical Data Visualization
 
[week9]R_statics
[week9]R_statics[week9]R_statics
[week9]R_statics
 
[week14] Getting started with D3.js
[week14] Getting started with D3.js[week14] Getting started with D3.js
[week14] Getting started with D3.js
 

Similar to [week8] 데이터읽어주는남자

Design approach thinking & coding
Design approach thinking & codingDesign approach thinking & coding
Design approach thinking & coding
Hanyang University
 
Design Thinking is Killing Creativity
Design Thinking is Killing CreativityDesign Thinking is Killing Creativity
Design Thinking is Killing Creativity
designsojourn
 
Design Thinking With Persona
Design Thinking With PersonaDesign Thinking With Persona
Design Thinking With Persona
Franki Chamaki
 
Design thinking notes with explanation i
Design thinking notes with explanation iDesign thinking notes with explanation i
Design thinking notes with explanation i
SRINURAJU3
 
UXPA2019 Experience-Led Strategy: The Role of Design Thinking in Strategy Making
UXPA2019 Experience-Led Strategy: The Role of Design Thinking in Strategy MakingUXPA2019 Experience-Led Strategy: The Role of Design Thinking in Strategy Making
UXPA2019 Experience-Led Strategy: The Role of Design Thinking in Strategy Making
UXPA International
 
Read a selection of your colleagues’ postings.Respond by Day.docx
Read a selection of your colleagues’ postings.Respond by Day.docxRead a selection of your colleagues’ postings.Respond by Day.docx
Read a selection of your colleagues’ postings.Respond by Day.docx
niraj57
 
Agile planning
Agile planningAgile planning
Agile planning
Neil Perkin
 
Innovation Excellence Weekly - Issue 27
Innovation Excellence Weekly - Issue 27Innovation Excellence Weekly - Issue 27
Innovation Excellence Weekly - Issue 27
Innovation Excellence
 
Turning Ideas Into Projects
Turning Ideas Into ProjectsTurning Ideas Into Projects
Turning Ideas Into ProjectsGreenData.IO
 
Why Design Thinking
Why Design ThinkingWhy Design Thinking
Why Design Thinking
Curiosita, LLC
 
Innovation Excellence Weekly - Issue 15
Innovation Excellence Weekly - Issue 15Innovation Excellence Weekly - Issue 15
Innovation Excellence Weekly - Issue 15
Innovation Excellence
 
Design-Thinking
Design-ThinkingDesign-Thinking
Design-Thinking
PresentationLoad
 
Design Thinking vs. Lean Startup: Friends or Foes?
Design Thinking vs. Lean Startup: Friends or Foes?Design Thinking vs. Lean Startup: Friends or Foes?
Design Thinking vs. Lean Startup: Friends or Foes?
Tathagat Varma
 
Deliberativ demokrati och djupare lärande
Deliberativ demokrati och djupare lärandeDeliberativ demokrati och djupare lärande
Deliberativ demokrati och djupare lärande
Nordiskt Nätverk för Vuxnas Lärande
 
Design Thinking for Aviation Safety by Dr. Benjamin Goodheart
Design Thinking for Aviation Safety by Dr. Benjamin GoodheartDesign Thinking for Aviation Safety by Dr. Benjamin Goodheart
Design Thinking for Aviation Safety by Dr. Benjamin Goodheart
Rodrigo Narcizo
 
Design Driven Innovation
Design Driven InnovationDesign Driven Innovation
Design Driven Innovation
guest520df39
 
Inside the entrepreneurial mind
Inside the entrepreneurial mindInside the entrepreneurial mind
Inside the entrepreneurial mind
noor ikram
 
Design thinking: an overview
Design thinking: an overviewDesign thinking: an overview
Design thinking: an overview
Priscila Mendoza
 

Similar to [week8] 데이터읽어주는남자 (20)

Design approach thinking & coding
Design approach thinking & codingDesign approach thinking & coding
Design approach thinking & coding
 
Design Thinking is Killing Creativity
Design Thinking is Killing CreativityDesign Thinking is Killing Creativity
Design Thinking is Killing Creativity
 
Design Thinking With Persona
Design Thinking With PersonaDesign Thinking With Persona
Design Thinking With Persona
 
Design thinking notes with explanation i
Design thinking notes with explanation iDesign thinking notes with explanation i
Design thinking notes with explanation i
 
UXPA2019 Experience-Led Strategy: The Role of Design Thinking in Strategy Making
UXPA2019 Experience-Led Strategy: The Role of Design Thinking in Strategy MakingUXPA2019 Experience-Led Strategy: The Role of Design Thinking in Strategy Making
UXPA2019 Experience-Led Strategy: The Role of Design Thinking in Strategy Making
 
Read a selection of your colleagues’ postings.Respond by Day.docx
Read a selection of your colleagues’ postings.Respond by Day.docxRead a selection of your colleagues’ postings.Respond by Day.docx
Read a selection of your colleagues’ postings.Respond by Day.docx
 
Agile planning
Agile planningAgile planning
Agile planning
 
Innovation Excellence Weekly - Issue 27
Innovation Excellence Weekly - Issue 27Innovation Excellence Weekly - Issue 27
Innovation Excellence Weekly - Issue 27
 
Turning Ideas Into Projects
Turning Ideas Into ProjectsTurning Ideas Into Projects
Turning Ideas Into Projects
 
Why Design Thinking
Why Design ThinkingWhy Design Thinking
Why Design Thinking
 
Innovation Excellence Weekly - Issue 15
Innovation Excellence Weekly - Issue 15Innovation Excellence Weekly - Issue 15
Innovation Excellence Weekly - Issue 15
 
Wgbp 0123
Wgbp 0123Wgbp 0123
Wgbp 0123
 
Design-Thinking
Design-ThinkingDesign-Thinking
Design-Thinking
 
Design Thinking vs. Lean Startup: Friends or Foes?
Design Thinking vs. Lean Startup: Friends or Foes?Design Thinking vs. Lean Startup: Friends or Foes?
Design Thinking vs. Lean Startup: Friends or Foes?
 
Deliberativ demokrati och djupare lärande
Deliberativ demokrati och djupare lärandeDeliberativ demokrati och djupare lärande
Deliberativ demokrati och djupare lärande
 
Design Thinking for Aviation Safety by Dr. Benjamin Goodheart
Design Thinking for Aviation Safety by Dr. Benjamin GoodheartDesign Thinking for Aviation Safety by Dr. Benjamin Goodheart
Design Thinking for Aviation Safety by Dr. Benjamin Goodheart
 
Design Driven Innovation
Design Driven InnovationDesign Driven Innovation
Design Driven Innovation
 
Uksg 2012 innovation wells
Uksg 2012 innovation wellsUksg 2012 innovation wells
Uksg 2012 innovation wells
 
Inside the entrepreneurial mind
Inside the entrepreneurial mindInside the entrepreneurial mind
Inside the entrepreneurial mind
 
Design thinking: an overview
Design thinking: an overviewDesign thinking: an overview
Design thinking: an overview
 

More from neuroassociates

Bloter 넥스트 저널리즘 스쿨 강의자료
Bloter 넥스트 저널리즘 스쿨 강의자료Bloter 넥스트 저널리즘 스쿨 강의자료
Bloter 넥스트 저널리즘 스쿨 강의자료
neuroassociates
 
[Week20] D3.js_Mapping
[Week20] D3.js_Mapping[Week20] D3.js_Mapping
[Week20] D3.js_Mapping
neuroassociates
 
[week17] D3.js_Tooltip
[week17] D3.js_Tooltip[week17] D3.js_Tooltip
[week17] D3.js_Tooltip
neuroassociates
 
[week16] D3.js_Transition
[week16] D3.js_Transition[week16] D3.js_Transition
[week16] D3.js_Transition
neuroassociates
 
[Week15] D3.js_Scatter_Chart
[Week15] D3.js_Scatter_Chart[Week15] D3.js_Scatter_Chart
[Week15] D3.js_Scatter_Chart
neuroassociates
 
[Week14] D3.js_Scale and Axis (보충자료)
[Week14] D3.js_Scale and Axis (보충자료)[Week14] D3.js_Scale and Axis (보충자료)
[Week14] D3.js_Scale and Axis (보충자료)
neuroassociates
 
[Week14] D3.js_Scale and Axis
[Week14] D3.js_Scale and Axis[Week14] D3.js_Scale and Axis
[Week14] D3.js_Scale and Axis
neuroassociates
 
[Week13] D3.js_Bar Chart
[Week13] D3.js_Bar Chart[Week13] D3.js_Bar Chart
[Week13] D3.js_Bar Chart
neuroassociates
 
[Week12] D3.js_Basic2
[Week12] D3.js_Basic2[Week12] D3.js_Basic2
[Week12] D3.js_Basic2
neuroassociates
 
[week7] 데이터읽어주는남자
[week7] 데이터읽어주는남자[week7] 데이터읽어주는남자
[week7] 데이터읽어주는남자
neuroassociates
 
[week6] 데이터읽어주는남자
[week6] 데이터읽어주는남자[week6] 데이터읽어주는남자
[week6] 데이터읽어주는남자
neuroassociates
 
[week12] D3.js_Basic
[week12] D3.js_Basic[week12] D3.js_Basic
[week12] D3.js_Basic
neuroassociates
 
[week11] R_ggmap, leaflet
[week11] R_ggmap, leaflet[week11] R_ggmap, leaflet
[week11] R_ggmap, leaflet
neuroassociates
 
[week7]R_Wrangling(2)
[week7]R_Wrangling(2)[week7]R_Wrangling(2)
[week7]R_Wrangling(2)
neuroassociates
 
[week6]R_Wrangling
[week6]R_Wrangling[week6]R_Wrangling
[week6]R_Wrangling
neuroassociates
 
[Week5]데이터읽어주는남자
[Week5]데이터읽어주는남자[Week5]데이터읽어주는남자
[Week5]데이터읽어주는남자
neuroassociates
 
[Week5]R_scraping
[Week5]R_scraping[Week5]R_scraping
[Week5]R_scraping
neuroassociates
 
[Week4]데이터읽어주는남자
[Week4]데이터읽어주는남자[Week4]데이터읽어주는남자
[Week4]데이터읽어주는남자
neuroassociates
 
[Week2]데이터읽어주는남자
[Week2]데이터읽어주는남자[Week2]데이터읽어주는남자
[Week2]데이터읽어주는남자
neuroassociates
 
[시즌2, week3] R Basic
[시즌2, week3] R Basic[시즌2, week3] R Basic
[시즌2, week3] R Basic
neuroassociates
 

More from neuroassociates (20)

Bloter 넥스트 저널리즘 스쿨 강의자료
Bloter 넥스트 저널리즘 스쿨 강의자료Bloter 넥스트 저널리즘 스쿨 강의자료
Bloter 넥스트 저널리즘 스쿨 강의자료
 
[Week20] D3.js_Mapping
[Week20] D3.js_Mapping[Week20] D3.js_Mapping
[Week20] D3.js_Mapping
 
[week17] D3.js_Tooltip
[week17] D3.js_Tooltip[week17] D3.js_Tooltip
[week17] D3.js_Tooltip
 
[week16] D3.js_Transition
[week16] D3.js_Transition[week16] D3.js_Transition
[week16] D3.js_Transition
 
[Week15] D3.js_Scatter_Chart
[Week15] D3.js_Scatter_Chart[Week15] D3.js_Scatter_Chart
[Week15] D3.js_Scatter_Chart
 
[Week14] D3.js_Scale and Axis (보충자료)
[Week14] D3.js_Scale and Axis (보충자료)[Week14] D3.js_Scale and Axis (보충자료)
[Week14] D3.js_Scale and Axis (보충자료)
 
[Week14] D3.js_Scale and Axis
[Week14] D3.js_Scale and Axis[Week14] D3.js_Scale and Axis
[Week14] D3.js_Scale and Axis
 
[Week13] D3.js_Bar Chart
[Week13] D3.js_Bar Chart[Week13] D3.js_Bar Chart
[Week13] D3.js_Bar Chart
 
[Week12] D3.js_Basic2
[Week12] D3.js_Basic2[Week12] D3.js_Basic2
[Week12] D3.js_Basic2
 
[week7] 데이터읽어주는남자
[week7] 데이터읽어주는남자[week7] 데이터읽어주는남자
[week7] 데이터읽어주는남자
 
[week6] 데이터읽어주는남자
[week6] 데이터읽어주는남자[week6] 데이터읽어주는남자
[week6] 데이터읽어주는남자
 
[week12] D3.js_Basic
[week12] D3.js_Basic[week12] D3.js_Basic
[week12] D3.js_Basic
 
[week11] R_ggmap, leaflet
[week11] R_ggmap, leaflet[week11] R_ggmap, leaflet
[week11] R_ggmap, leaflet
 
[week7]R_Wrangling(2)
[week7]R_Wrangling(2)[week7]R_Wrangling(2)
[week7]R_Wrangling(2)
 
[week6]R_Wrangling
[week6]R_Wrangling[week6]R_Wrangling
[week6]R_Wrangling
 
[Week5]데이터읽어주는남자
[Week5]데이터읽어주는남자[Week5]데이터읽어주는남자
[Week5]데이터읽어주는남자
 
[Week5]R_scraping
[Week5]R_scraping[Week5]R_scraping
[Week5]R_scraping
 
[Week4]데이터읽어주는남자
[Week4]데이터읽어주는남자[Week4]데이터읽어주는남자
[Week4]데이터읽어주는남자
 
[Week2]데이터읽어주는남자
[Week2]데이터읽어주는남자[Week2]데이터읽어주는남자
[Week2]데이터읽어주는남자
 
[시즌2, week3] R Basic
[시즌2, week3] R Basic[시즌2, week3] R Basic
[시즌2, week3] R Basic
 

Recently uploaded

Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
Subhajit Sahu
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
Timothy Spann
 
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
ahzuo
 
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
slg6lamcq
 
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
u86oixdj
 
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
g4dpvqap0
 
Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)
TravisMalana
 
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
2023240532
 
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
John Andrews
 
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
Subhajit Sahu
 
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
ahzuo
 
一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单
ewymefz
 
Influence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business PlanInfluence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business Plan
jerlynmaetalle
 
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
dwreak4tg
 
Machine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptxMachine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptx
balafet
 
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
mbawufebxi
 
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
74nqk8xf
 
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...
pchutichetpong
 
My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.
rwarrenll
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
Timothy Spann
 

Recently uploaded (20)

Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
 
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理
 
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理
 
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样
 
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
一比一原版(爱大毕业证书)爱丁堡大学毕业证如何办理
 
Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)Malana- Gimlet Market Analysis (Portfolio 2)
Malana- Gimlet Market Analysis (Portfolio 2)
 
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...
 
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...
 
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
 
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
一比一原版(CBU毕业证)卡普顿大学毕业证如何办理
 
一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单一比一原版(NYU毕业证)纽约大学毕业证成绩单
一比一原版(NYU毕业证)纽约大学毕业证成绩单
 
Influence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business PlanInfluence of Marketing Strategy and Market Competition on Business Plan
Influence of Marketing Strategy and Market Competition on Business Plan
 
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
一比一原版(BCU毕业证书)伯明翰城市大学毕业证如何办理
 
Machine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptxMachine learning and optimization techniques for electrical drives.pptx
Machine learning and optimization techniques for electrical drives.pptx
 
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理
 
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理
 
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...
 
My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.My burning issue is homelessness K.C.M.O.
My burning issue is homelessness K.C.M.O.
 
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
 

[week8] 데이터읽어주는남자

  • 2. 1. 2. 3. 4. 5. Design thinking Types of Data Data and Business Computational Thinking Data and Creativity
  • 4.
  • 6. Unlike analytical thinking, design thinking is a process which includes the "building up" of ideas, with few, or no, limits on breadth during a "brainstorming" phase. This helps reduce fear of failure in the participant(s) and encourages input and participation from a wide variety of sources in the ideation phases. The phrase "thinking outside the box" has been coined to describe one goal of the brainstorming phase and is encouraged, since this can aid in the discovery of hidden elements and ambiguities in the situation and discovering potentially faulty assumptions <source=https://en.wikipedia.org/wiki/Design_thinking>
  • 7. For design-led start-ups, innovation begins with the problem, unlike previous high-tech start-ups, where innovation often began with technology and only later began to look for a problem that the new technology might solve in a way that held a business potential. <source=http://www.qoobdesign.it>
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16. 디 자 인 씽 킹 이 란 분 석 적 사고의 숙련과 직관적 사고의 창 조 성 이 역 동 적 으 로 상호작용하여 균형을 이룬 방법이다 디자인적 사고란 소비자들이 가치 있 게 평가하고 시장의 기회를 이용할수 있으며 기술적으로 가능한 비즈니스 전략에 대한 요구를 충족시키기 위하 여 디자이너의 감수성과 작업방식을 이용하는 사고 방식이다
  • 17. Design thinking as a process for Problem-solving
  • 18. 디자인씽킹을 디자인 중심의 프로세스 디자인이라고 이해하고 있는데 이는 반은 맞고 반은 틀린 말 디자인씽킹은 디자인적 방법론을 경영 또는 워크 프로세스에 적용하는 것이 그 핵심
  • 20. 20세기 제품기획 → 제품제작 → 고객영업 공급자 중심 21세기 제품기획 → 프로토타입 → 피봇(수정) 공급자 중심
  • 21. Lean Startup 제품기획 → 프로토타입 → 피봇(수정) Good enough data 공급자 중심 Design thinking 고객니즈 → 프로토타입 → 피봇(수정) Extensive Data 수요자 중심
  • 23. Design Thinking & Systematic Thinking 매우 유사 부분을 나누어 보는 것이 아니라 하나의 통합된 체계로 생각하고 구상
  • 24. "Don't think of it as failure, think of it as designing experiments through which you’re going to learn.“ Tim Brown CEO, IDEO
  • 25. 빠른실패 → 객관적 평가(이른 시점) → 연속적인 경쟁우위(짧은 시점) Hyper Competition
  • 26.
  • 29.
  • 30. Design Thinking 의 핵심은 통합적 사고 이전의 프로세스나 혁신이 하나의 요소에 집중했다면 Design Thinking 은 틀과 사고방식의 전환을 요구 통합 또는 융합적 관점이라도 봐도 좋을 것
  • 31.
  • 32. Types of Data Qualitative and quantitative
  • 35.
  • 36.
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43.
  • 44. <source=University of Oxford “The Future of Employment”>
  • 45. <source=University of Oxford “The Future of Employment”>
  • 47.
  • 48.
  • 49. Leading innovation is creating a space where people are willing and able to do the hard work of innovative problem solving
  • 51.
  • 53.
  • 54. Creativity is that which separates human beings from beasts. It is more than just building a tool or expressing one’s “self” or drawing a picture. The ability to be creative involves an understanding of nature that we then change and adapt based on our needs or to solve a problem. An educational process should involve encouraging the human mind to conceptualize ideas, and then use our minds, our tools, and our free will to actually transform the physical characteristics of our environment to adapt to our ideas. Animals adapt to nature. Human beings change it. Human beings are the creative force of nature. An effective educational system is one which encourages the students to be able to use existing knowledge in order to make new challenges. It is tempting for a teacher to dictate to a student what is already acknowledged to be true. But if this is the accepted norm of education, then innovation is precluded. Instead, the wise teacher will encourage the student, preferably a group of students, to discover among themselves what can be independently shown to be true, so that they “own” the truth in the same way that the acknowledged discoverer knows it. <source=http://philmckinney.com/> http://philmckinney.com/archives/2014/08/do-we-really-understand-what-it-means-to-be-creative.html
  • 56.
  • 58. The view that good ideas are rarer and more valuable than good people is rooted in a misconception of creativity. <source=https://hbr.org/2008/09/how-pixar-fosters-collective-creativity>
  • 59. "The art challenges the technology, and the technology inspires the art." - John Lasseter
  • 60. Technology + Art = Magic <source=https://hbr.org/2008/09/how-pixar-fosters-collective-creativity>
  • 61.
  • 62.
  • 63.
  • 64.
  • 65.
  • 66. Data design is connecting data to discover insight or creativity
  • 67.
  • 68. Linked Open Data The Next Agenda Open Innovation 딜로이트 보고서 Open data_Driving growth, ingenuity and innovation 맥킨지 보고서 Open data: Unlocking innovation and performance with liquid information OECD 보고서 Open Government Data Towards Empirical Analysis of Open Government Data Initiatives Europeana Linked Open Data http://labs.europeana.eu/api/linked-open-data-introduction Reference
  • 69.