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Similar to Jung 2010 (20)
Jung 2010
- 1. Current Issues Of
Semantic Web Technologies
in Korea
1 Apr. 2010
Hanmin Jung
KISTI
소셜 시맨틱 웹 세미나 1 Copyright © 2004-2010, KISTI
- 2. Presentations (2009)
미래 연구정보 포럼 2009, 2009.12 (대한상공회의소)
Korean Semantic Web Conference 2009, 2009.12 (국립중앙도서관)
Search Technology Summit 2009, 2009.9 (그랜드 인터콘티넨탈 호텔)
메타데이터표준화포럼 국제세미나, 2009.6 (코엑스 컨퍼런스 센터)
충남대학교 SOREC 연구소 세미나, “Semantic Service and Service Mashup”, 2009.12
KISTI 기술 이전 설명회, “시맨틱 웹 기술 기반 정보 서비스 플랫폼”, 2009.12
KISTI 하반기 간부 리더쉽 교육, “OntoFrame Project”, 2009.12
독일 Wolters Kluwer GmbH 세미나, “Semantic Web Research of KISTI”, 2009.12
독일 München Univ. 세미나, “Semantic Web Research of KISTI”, 2009.11
KAIST 특강, “시맨틱 웹과 미래 인터넷”, 2009.11
중국 ISTIC 세미나, “Semantic Service Platform and Service Mashup”, 2009.10
영국 Southampton Univ. 세미나, “Semantic Service Researches Of DITR”, 2009.10
행정안전부 제2기 미래 ICT 리더 과정, “ICT 신기술 이해”, 2009.10
행정안전부 제2기 최신 ICT 동향 과정, “미래 정보 서비스와 시맨틱 웹”, 2009.9
솔트룩스 세미나, “특허 동향 고찰과 관련 기술 분석”, 2009.9
KERIS 세미나, “Toward Web 3.0”, 2009.8
고려대 협력 워크숍, “시맨틱 서비스 파이프라이닝”, 2009.8
통계청 세미나, “정보 서비스에서의 시맨틱 웹 역할과 활용 방안”, 2009.5
충남대학교 대학원 특강, “시맨틱 웹과 서비스 플랫폼”, 2009.5
행정안전부 제1기 최신 ICT 동향 과정, “미래 정보 서비스와 시맨틱 웹”, 2009.5
충남대학교 특강, “시맨틱 웹을 적용한 정보 서비스”, 2009.5
충남대학교 세미나, “시맨틱 서비스 플랫폼 OntoFrame”, 2009.4
삼성전자 세미나, “전문용어 구축 및 활용”, 2009.4
행정안전부 제1기 미래 ICT 리더 과정, “ICT 신기술 이해 - 시맨틱 웹, 모바일, 차세대 미디어 등 –”, 2009.4
서울대학교 세미나, “국내 시맨틱 웹 시장 동향 및 온토프레임 소개”, 2009.4
배재대학교 세미나, “차세대 인터넷 기술”, 2009.4
한국정보사회진흥원 세미나, “온톨로지, 시맨틱 웹의 이해와 적용”, 2009.4
KISTEP 세미나, “미래 검색 동향과 시맨틱 플랫폼의 역할”, 2009.3
정보통신연구진흥원 세미나, “미래 검색 동향과 시맨틱 플랫폼의 역할”, 2009.3
한의학 온톨로지 세미나, “언어 자원 구축 – 용어 수집부터 구조 정보 구축까지 –”, 2009.3
국회도서관 설명회, “지능형 입법 지원 시스템 (L-Cube System), 2009.3
한국표준과학연구원 세미나, “시맨틱 서비스 플랫폼 OntoFrame 소개”, 2009.1
소셜 시맨틱 웹 세미나 2 Copyright © 2004-2010, KISTI
- 3. Presentations (2010)
소셜 시맨틱 웹 세미나, “Current Issues of Semantic Web Technologies in Korea”, 2010.4
NIPA-PS협의체 세미나, “An Insight into Future Information Services”, 2010.3
솔트룩스 세미나, “Benchmarking Semantic Repositories”, 2010.3
기술사업화정보실 세미나, “Semantic Web Research @ KISTI”, 2010.2
국사편찬위원회 세미나, “Understanding Semantic Web Technologies with Use Cases”, 2010.2
국민권익위원회 세미나, “Use Cases of KISTI”, 2010.2
한국표준과학연구원 세미나, “시맨틱 웹 기술을 이용한 참조표준 온라인 보급 활성화 방안”, 2010.1
소셜 시맨틱 웹 세미나 3 Copyright © 2004-2010, KISTI
- 4. Trend Reports
NIPA 주간기술동향
트리플 레파지토리 벤치마킹 (Vol.1439)
차세대 IT 기기와 HCI 기술 동향 전망 (Vol.1435)
시맨틱 검색 기술 동향 (Vol.1431)
시맨틱 웹 국내 특허 동향 (Vol.1420)
감성 분석과 브랜드 모니터링 기술 동향 (Vol.1396)
시맨틱 웹이 경제⋅사회에 미치는 영향 (Vol.1372)
웹 매핑 서비스 비교 분석 (Vol.1352)
시맨틱 웹 2.0 기술 동향 (Vol.1344)
국내 포털 검색 시장 및 특허 동향 (Vol.1341)
Open API 기술 동향 (Vol.1296)
엔터프라이즈 검색 기술 동향 (Vol.1276)
전자상거래 검색 기술 동향 (Vol.1273)
시맨틱 웹 포털 기술 동향 (Vol.1264)
기타 동향 분석 보고서
미래의 인터넷을 만드는 핵심기술, 시맨틱 웹 – 월간 웹 (2010년 1월호)
시맨틱 웹 – 2009 국방정보기술 조사서
웹 2.0의 개념과 의의 – KERIS@ Vol.2
미래 정보 사회와 시맨틱 웹 기술 – 디지털행정 (녹색 정보화 특집, 제 113호)
시맨틱 웹 서비스 – KERIS 이슈리포트 (2008-22)
시맨틱 웹 기반 플랫폼상에서의 웹 2.0 활용 서비스 – 정보처리학회지 Vol.14
시맨틱 웹 포털 해외 사례– 지식정보인프라지 Vol.26
소셜 시맨틱 웹 세미나 4 Copyright © 2004-2010, KISTI
- 5. Advisory Activities (2009-2010)
유관 사업 자문
KAIST: 국가 IT 온톨로지 인프라 구축 사업
한국한의학연구원: 온톨로지 기반 한의학 지능형 정보체계 연구 사업
안보경영연구원: 지능형 통합검색과 품질관리 기능을 향상시킨 군수목록정보체계 아키텍쳐링 연구
사업
정보통신산업진흥원: IT 통계분석 및 동향분석 사업
솔트룩스: 오픈이노베이션 타킷 발견엔진 연구 개발 사업
탑쿼드란트코리아: u-City 서비스용 개방형 SW 플랫폼 개발 사업
선도소프트: 산재예방 통합정보시스템 정보화 전략계획 수립방안에 관한 연구 사업
네오플러스: 표준화 활동 지원 및 관리시스템 구축 사업
DAUM: 디지털 문화콘텐츠 융⋅복합 서비스를 위한 시맨틱 웹 매쉬업 플랫폼 기술 개발 사업
소셜 시맨틱 웹 세미나 5 Copyright © 2004-2010, KISTI
- 6. 소셜 시맨틱 웹 세미나 6 Copyright © 2004-2010, KISTI
- 7. 소셜 시맨틱 웹 세미나 7 Copyright © 2004-2010, KISTI
- 8. DB vs. Ontology
Portability & Connectibility
Legacy DB
For Storing & Managing RDF Triples
For Service
Planning Services
Defining Concepts Ontology Instances
Exploiting Relations
Ontology Schema
소셜 시맨틱 웹 세미나 8 Copyright © 2004-2010, KISTI
- 10. Ontology Engineering
Key Activities
Understand business objectives
Understand people
Understand processes and systems
Understand technologies
Understand contents
Wlodarczyk, “Implementing Semantic Search in the Enterprise”
소셜 시맨틱 웹 세미나 10 Copyright © 2004-2010, KISTI
- 11. 소셜 시맨틱 웹 세미나 11 Copyright © 2004-2010, KISTI
- 12. Internet of Things
Embracing Web 3.0
“We could use Semantic Web technologies’ representational power to
describe things in the real world. One view is that the physical
objects will become Web-accessible in that we will be able to
represent them via metadata. … Describing physical things will expand
our scope beyond the current Web.” by Ora Lassila & James Hendler
소셜 시맨틱 웹 세미나 12 Copyright © 2004-2010, KISTI
- 13. Linking Data of Real World
Semantic Web is rapidly becoming real
through
evolutionary step in leading the Web to its potential
소셜 시맨틱 웹 세미나 13 Copyright © 2004-2010, KISTI
- 14. Linking Data of Real World
Meaning is learned “inferentially” from a body of data
Tim O’Reilly and John Battelle, “Web Squared: Web 2.0 Five Years On”, 2009.
소셜 시맨틱 웹 세미나 14 Copyright © 2004-2010, KISTI
- 15. LOD Project
W3C Linking Open Data Community Project
Aims at making data freely available to everyone
Extends the Web with a data commons
By publishing various open data sets as RDF on the Web
By setting RDF links between data items from different data sources
Opens the (meta)data silos and get rid of repository-centric mindset
Publishes (meta)data of public interest on the Web
In a way that other applications can access and interpret the data
Using common Web technologies
http://esw.w3.org/topic/SweoIG/TaskForces/CommunityProjects/LinkingOpenData/
Bernhard Haslhofer, “Linked Data Tutorial”, 2009.
소셜 시맨틱 웹 세미나 15 Copyright © 2004-2010, KISTI
- 16. LOD Project
W3C Linking Open Data Community Project
over 500 million RDF triples (2007.5)
http://blogs.sun.com/bblfish/resource/2007/LinkingOpenData.png
소셜 시맨틱 웹 세미나 16 Copyright © 2004-2010, KISTI
- 17. LOD Project
W3C Linking Open Data Community Project
over 2 billion RDF triples (2008.4)
Available in RDF and SVG (Scalable Vector Graphics) versions
KISTI
OntoFrame 2007 Data Set
http://richard.cyganiak.de/2007/10/lod/
소셜 시맨틱 웹 세미나 17 Copyright © 2004-2010, KISTI
- 18. LOD Project
W3C Linking Open Data Community Project
over 4.5 billion RDF triples (2009.3)
http://www4.wiwiss.fu-berlin.de/bizer/pub/lod-datasets_2009-03-27_colored.png
소셜 시맨틱 웹 세미나 18 Copyright © 2004-2010, KISTI
- 19. LOD Project
W3C Linking Open Data Community Project
over 13.1 billion RDF triples, around 142 millions of links (2009.11)
http://esw.w3.org/topic/SweoIG/TaskForces/CommunityProjects/LinkingOpenData/
소셜 시맨틱 웹 세미나 19 Copyright © 2004-2010, KISTI
- 20. LOD Project
Data.gov
A product of Obama’s Open Government Initiative project
Launched in late May 2009 by the Federal CIO, Vivek Kudra
Aims to increase public access to high value, machine readable datasets
generated by the Executive Branch of the Federal Government (Over 100
agencies)
Major sources of dataset (2009-06-24)
Environmental Protection Agency (315)
Department of Defense (122)
Centers for Medicare and Medicaid Services (108)
Department of Health and Human Services (87)
Department of Homeland Security (43)
Department of the Treasury (37)
Department of the Interior (35)
US Bureau of Labor Statistics (35)
Department of Labor (35)
…
http://internet.suite101.com/article.cfm/datagov_provides_showcase_for_public_data
http://data-gov.tw.rpi.edu/wiki/What%27s_in_data.gov
소셜 시맨틱 웹 세미나 20 Copyright © 2004-2010, KISTI
- 21. LOD Project
Data.gov.uk
Prime Minister Gordon Brown appointed Sir Tim and Professor Nigel
Shadbolt to open up the official data to the general public (2009.6)
Teamed up with Stephen Trimms, Minister for Digital Britain
More than 2,500 sets of data from across government including
information about house prices, local amenities and services, and access to
local hospitals (2010.1)
http://www.dailymail.co.uk/sciencetech/article-1244930/Data-gov-uk-Public-website-offering-open-access-Government-data-launched-internet-inventor.html
소셜 시맨틱 웹 세미나 21 Copyright © 2004-2010, KISTI
- 22. LOD Project
Data.gov.uk Demos
소셜 시맨틱 웹 세미나 22 Copyright © 2004-2010, KISTI
- 23. LOD Project
Data.gov.uk Demos
소셜 시맨틱 웹 세미나 23 Copyright © 2004-2010, KISTI
- 24. LOD Project
URI Aliases
URIs that refer to the same real-world objects
E.g. http://dbpedia.org/resource/Berlin (for Berlin in DBpedia)
E.g. http://sws.geonames.org/2950159 (for Berlin in Geonames)
Information providers can set owl:sameAs links to URI aliases they know
about
Resolution of Data Conflicts in Data Fusion
Choosing a value in situations where multiple sources provide different
values for the same property of an object
Christian Bizer, Tom Heath, and Tim Berners-Lee, “Linked Data – The Story So Far”, 2009.
소셜 시맨틱 웹 세미나 24 Copyright © 2004-2010, KISTI
- 26. Finding Coreferences –
Object Coref in Falcons
Bootstrapping Object Coreference Service
Input URI
소셜 시맨틱 웹 세미나 26 Copyright © 2004-2010, KISTI
- 27. LOD Project
Government Data
Reasons to put online
Increasing citizen awareness of government functions to enable greater
accountability
Contributing valuable information about the world
Enabling the government, the country, and the world to function more
efficiently
Tim Berners-Lee, “Putting Government Data Online”, 2009.
소셜 시맨틱 웹 세미나 27 Copyright © 2004-2010, KISTI
- 28. 소셜 시맨틱 웹 세미나 28 Copyright © 2004-2010, KISTI
- 29. Semantic Repository
Reasoning
P (Precondition), R (Rule), C (Conclusion)
Deduction: P + R → C (for forward-chaining)
Induction: P + C → R
Abduction: C + R → P (for backward-chaining)
E.g. “If man is mortal (R) and Socrates is a man (P), then Socrates is mortal (C)”
S. Lee, “Research Trends on Reasoning Technologies”, 2010.
소셜 시맨틱 웹 세미나 29 Copyright © 2004-2010, KISTI
- 30. Semantic Repository
Trends on Reasoning (2009)
S. Lee, “Research Trends on Reasoning Technologies”, 2010.
소셜 시맨틱 웹 세미나 30 Copyright © 2004-2010, KISTI
- 31. Semantic Repository
Trends on Reasoning (2008~2009)
77 oral/poster/demo/PhD/workshop papers in ESWC & ISWC conferences
S. Lee, “Research Trends on Reasoning Technologies”, 2010.
소셜 시맨틱 웹 세미나 31 Copyright © 2004-2010, KISTI
- 32. Semantic Repository
Reasoning
Standard reasoning
DL-based
Rule-based
Hybrid (e.g. DL for Tbox, Rule for Abox)
Non-standard reasoning
Inconsistency handling
Uncertainty reasoning: probabilistic/fuzzy
Inductive reasoning: clustering
Justification finding: exploration of entailments
Approximate reasoning: scarifying for soundness/completeness for efficiency
Distributed reasoning: on multiple ontologies
Parallel reasoning: like multi-threading
Stream reasoning: on rapidly changing information
S. Lee, “Research Trends on Reasoning Technologies”, 2010.
소셜 시맨틱 웹 세미나 32 Copyright © 2004-2010, KISTI
- 33. Semantic Repository
Semantic Repository
Combines characteristics of DBMS and inference engines
Uses ontologies as semantic schemata, which allows them to automatically
reason about the data
Holds, interpret, and serve requests from users
Benchmarking Points
Data loading (usually includes inference)
Query evaluation
Data modification
Performance Dimensions
Scale (in terms of RDF triples)
Schema and data complexity
Hardware and software setup
A. Kiryakov, “Semantic Repositories - Performance factors and design choices”, 2010
소셜 시맨틱 웹 세미나 33 Copyright © 2004-2010, KISTI
- 34. Semantic Repository
Full-cycle Benchmarking
Loading input RDF triples from the storage system
Parsing the RDF files
Indexing and storing the triples
Forward-chaining and materialization (optional)
Query parsing
Query optimization (optional for query re-writing)
Query evaluation
Backward-chaining (optional)
Fetching of the results
(post-processing)
A. Kiryakov, “Semantic Repositories - Performance factors and design choices”, 2010.
소셜 시맨틱 웹 세미나 34 Copyright © 2004-2010, KISTI
- 37. 소셜 시맨틱 웹 세미나 37 Copyright © 2004-2010, KISTI
- 38. Semantic … Service
Identity Resolution Named-entity Recognition
Ontology Modeling Question Answering
Semantic Web-based Service ≠ Semantic Service
Reasoning Natural Language Interface
(SPARQL) Query Interface Information Extraction
소셜 시맨틱 웹 세미나 38 Copyright © 2004-2010, KISTI
- 39. Semantic … Search
Inferential Finding Concept Matching
Semantic Web-based Search ≠ Semantic Search
Exploratory Session
소셜 시맨틱 웹 세미나 39 Copyright © 2004-2010, KISTI
- 40. Semantic Search
Definition
“Semantic search uses language processing to assess the meaning of
contents and the meaning of search queries to return more relevant
results.” by Paul Wlodarczyk (Early & Associates)
Requires technologies
To disambiguate search queries (e.g. named entity recognition, WSD)
To map search queries to contents (e.g. information extraction)
To refine meaning of search queries (e.g. clustering, relevant term search)
소셜 시맨틱 웹 세미나 40 Copyright © 2004-2010, KISTI
- 45. Application Scopes of
Natural Language Processing
http://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/e-learning2.0qa_sental_small_0.png
http://www.monrai.com/products/cypher/img/ad-framework.gif
소셜 시맨틱 웹 세미나 45 Copyright © 2004-2010, KISTI
- 46. 소셜 시맨틱 웹 세미나 46 Copyright © 2004-2010, KISTI
- 47. Usability
Even the tiniest amount of empirical facts (2 users)
vastly improves the probability of making
correct UI design decisions
Jakob Nielsen’s Alertbox, “Guesses vs. Data as Basis for Design Recommendations”, 2009.
소셜 시맨틱 웹 세미나 47 Copyright © 2004-2010, KISTI
- 48. Usability
Unless your site meets their expectations
and can be understood immediately,
They’ll beat a fast retreat back to the sites
they already know.
Jakob Nielsen’s Alertbox, “Guesses vs. Data as Basis for Design Recommendations”, 2009.
소셜 시맨틱 웹 세미나 48 Copyright © 2004-2010, KISTI
- 49. Usability
Content Owners’ Subjective Opinions
“Yeah, see, I don’t like that.”
“I wouldn’t click there, and so neither will they.”
“Oh, they’ll know what that means, even if you don’t.”
Jakob Nielsen, “Building Respect for Usability Expertise”, 2009.
소셜 시맨틱 웹 세미나 49 Copyright © 2004-2010, KISTI
- 50. Usability
How Projects Really Work
http://www.projectcartoon.com/cartoon/1
소셜 시맨틱 웹 세미나 50 Copyright © 2004-2010, KISTI
- 51. Usability
Bad Usability Is Like a Leaky Pipe
http://www.90percentofeverything.com/wp-content/uploads/2006/11/bad_usability_is_like_a_leaky_pipe.jpg
소셜 시맨틱 웹 세미나 51 Copyright © 2004-2010, KISTI
- 52. Usability
Organizational inertia
Usability is about humans, not computers
Limitations of the human mind
Jakob Nielsen’s Alertbox, “Progress in Usability: Fast or Slow?”, 2010.
소셜 시맨틱 웹 세미나 52 Copyright © 2004-2010, KISTI
- 53. 소셜 시맨틱 웹 세미나 53 Copyright © 2004-2010, KISTI
- 54. Toward Web 3.0
Recommendation & Personalization
One-sided recommendation → collaborative recommendation →
contextual recommendation
“We’ll have a web that knows what we want and when we want it.” by
Jemina Kiss (writer of UK’s Guardian newspaper)
소셜 시맨틱 웹 세미나 54 Copyright © 2004-2010, KISTI
- 55. Wifi Positioning System
New York City
http://www.linuxfordevices.com/files/misc/nyc-wifi-points.jpg
소셜 시맨틱 웹 세미나 55 Copyright © 2004-2010, KISTI
- 57. 소셜 시맨틱 웹 세미나 57 Copyright © 2004-2010, KISTI
- 58. Top 10 Predictions (1)
Worldwide Information Access, Analysis, and Management Software
2010 (IDC)
Information in Context
Prediction 1: Experiments in Context and User-Aware Filters Will Increase
the Relevance and Usefulness of the Information That Is Retrieved; Location,
Device, Task, Job Title, or Personal Interests Will All Provide Clues
Prediction 2: Social Graphs Derived from Social Networks Will Improve
Understanding of Organizational Structure and Will Supply Recommendations,
Filter Search Results and Content Streams, or Find Experts
Pervasive Business Intelligence and Analytics
Prediction 3: Data Generated from Transactions, Events, Sensors,
Conversations, Purchases, and Social Networks Will Drive Predictive
Analysis and Improved Decision-Making Processes
Prediction 4: New SaaS Offerings for BI, Analytics, and Data Provided as a
Service Will Address the Lack of Analytics Expertise at Many Organizations
Prediction 5: Mining for Meaning Will Rise in Importance; Text Analytics Will
Be Embedded in BI Systems to Merge Content with Data; Other Applications That
Require a High Degree of User Interaction Will Add Text Analytics, Search, and
Multilingual Features
소셜 시맨틱 웹 세미나 58 Copyright © 2004-2010, KISTI
- 59. Top 10 Predictions (2)
Worldwide Information Access, Analysis, and Management Software
2010 (IDC)
Information Overload and Risk Avoidance Spur Information and Application
Integration
Prediction 6: Intelligent Workspaces Will Emerge and Quickly Gain Market
Share
Prediction 7: Decision Management Systems Will Emerge to Extend
Information Access Systems to All Steps in the Decision-Making Process
Change, Disruption, and New Opportunities
Prediction 8: Demand for Integrated Platforms to Support eCommerce Will
Reemerge
Prediction 9: Software Delivery and Licensing Models Will Diversify to
Include More SaaS Delivery, More Appliances, and More Open Source Software
Prediction 10: Chaos in the Workplace Will Increase as Business Users Either
Bring Their Own Software Tools to Work or Take Charge of Software Purchases
소셜 시맨틱 웹 세미나 59 Copyright © 2004-2010, KISTI
- 60. Work Program 2011-2012
2010 (European Commission)
Challenge 1: Pervasive and Trusted Network and Service Infrastructures
Challenge 2: Cognitive Systems and Robotics
Challenge 3: Alternative Paths to Components and Systems
Challenge 4: Technologies for Digital Content and Languages
Challenge 5: ICT for Health, Ageing Well, Inclusion and Governance
Challenge 6: ICT for a low carbon economy
Challenge 7: ICT for the Enterprise and Manufacturing
Challenge 8: ICT for Learning and Access to Cultural Resources
소셜 시맨틱 웹 세미나 60 Copyright © 2004-2010, KISTI
- 61. Work Program 2011-2012
2010 (European Commission)
Challenge 1: Pervasive and Trusted Network and Service Infrastructures
Objective ICT-2011.1.1: Future Networks
Objective ICT-2011.1.2: Cloud Computing, Internet of Services and Advanced
Software Engineering
Objective ICT-2011.1.3: Internet-connected objects
Objective ICT-2011.1.4: Trustworthy ICT
Objective ICT-2011.1.5: Networked Media and Search Systems
Objective ICT-2011.1.6: Future Internet Research and Experimentation (FIRE)
Objective FI.ICT-2011.1.7: Technology foundation: Future Internet Core
Platform
Objective FI.ICT-2011.1.8: Use Case scenarios and pilots
Objective FI.ICT-2011.1.9: Capacity Building and Infrastructure Support
Objective FI.ICT-2011.1.10: Program Management and Support
소셜 시맨틱 웹 세미나 61 Copyright © 2004-2010, KISTI
- 62. Work Program 2011-2012
2010 (European Commission)
Challenge 4: Technologies for Digital Content and Languages
Objective ICT-2011.4.1: SME initiative on Digital Content and Languages
Objective ICT-2011.4.2: Language Technologies
Multilingual content processing
Information access and mining
Natural spoken interaction
Developing joint plans, methods and services (speech & natural language)
Objective ICT-2011.4.3: Digital Preservation
Objective ICT-2011.4.4: Intelligent Information Management
소셜 시맨틱 웹 세미나 62 Copyright © 2004-2010, KISTI
- 63. 감사합니다!
jhm@kisti.re.kr
소셜 시맨틱 웹 세미나 63 Copyright © 2004-2010, KISTI
- 64. 감사합니다!
jhm@kisti.re.kr
소셜 시맨틱 웹 세미나 64 Copyright © 2004-2010, KISTI
- 65. 조직 외부에서 누군가 여러분의 문제에 대해 답하고, 해결해주며,
현재의 기회를 잘 활용하는 방법을 알고 있다면,
그들을 찾아내 생산적으로 협업할 길을 찾기만 하면 된다.
by A.G. Lafley (P&G CEO)
감사합니다!
jhm@kisti.re.kr
소셜 시맨틱 웹 세미나 65 Copyright © 2004-2010, KISTI