Soumettre la recherche
Mettre en ligne
Generating Researcher Networks with Identified Persons on a Semantic Service Platform
•
2 j'aime
•
598 vues
Korea Institute of Science and Technology Information
Suivre
Hanmin Jung(KISTI)
Lire moins
Lire la suite
Technologie
Formation
Signaler
Partager
Signaler
Partager
1 sur 33
Télécharger maintenant
Télécharger pour lire hors ligne
Recommandé
The Well-Grounded Nuby
The Well-Grounded Nuby
David Black
Bordeaux Wine
Bordeaux Wine
Korea Institute of Science and Technology Information
Big Data - Where from Where to
Big Data - Where from Where to
Korea Institute of Science and Technology Information
Understanding Data
Understanding Data
Korea Institute of Science and Technology Information
빅데이터와 정부 3.0 이해
빅데이터와 정부 3.0 이해
Korea Institute of Science and Technology Information
Gts Data Flyer 2008
Gts Data Flyer 2008
Subbu
Jsn tendo-configuration-manual
Jsn tendo-configuration-manual
Huyen Nguyen
Bourgogne Wine
Bourgogne Wine
Korea Institute of Science and Technology Information
Recommandé
The Well-Grounded Nuby
The Well-Grounded Nuby
David Black
Bordeaux Wine
Bordeaux Wine
Korea Institute of Science and Technology Information
Big Data - Where from Where to
Big Data - Where from Where to
Korea Institute of Science and Technology Information
Understanding Data
Understanding Data
Korea Institute of Science and Technology Information
빅데이터와 정부 3.0 이해
빅데이터와 정부 3.0 이해
Korea Institute of Science and Technology Information
Gts Data Flyer 2008
Gts Data Flyer 2008
Subbu
Jsn tendo-configuration-manual
Jsn tendo-configuration-manual
Huyen Nguyen
Bourgogne Wine
Bourgogne Wine
Korea Institute of Science and Technology Information
Scaling search to a million pages with Solr, Python, and Django
Scaling search to a million pages with Solr, Python, and Django
tow21
Role of Semantic Web in Health Informatics
Role of Semantic Web in Health Informatics
Artificial Intelligence Institute at UofSC
Provenance and Trust
Provenance and Trust
Jose Manuel Gómez-Pérez
Enterprise Search @EPAM
Enterprise Search @EPAM
Alex Kozhemiakin
Architecting Smarter Apps with Entity Framework
Architecting Smarter Apps with Entity Framework
Saltmarch Media
20120419 linkedopendataandteamsciencemcguinnesschicago
20120419 linkedopendataandteamsciencemcguinnesschicago
Deborah McGuinness
Introduction to the Semantic Web
Introduction to the Semantic Web
Marin Dimitrov
SIL rapid capture
SIL rapid capture
Keri Thompson
MongoDB for Genealogy
MongoDB for Genealogy
Steven Francia
Building OBO Foundry ontology using semantic web tools
Building OBO Foundry ontology using semantic web tools
Melanie Courtot
Tagging Up - MMS and Taxonomy In SharePoint 2010
Tagging Up - MMS and Taxonomy In SharePoint 2010
Chris McNulty
Semtech2006
Semtech2006
Adrian Walker
Kuali OLE: A Look at our Software Deliverables Roadmap One Year On
Kuali OLE: A Look at our Software Deliverables Roadmap One Year On
Robert H. McDonald
From WWW to GGG Ignite Athens 2012
From WWW to GGG Ignite Athens 2012
healis
Www 2 ggg Athanassios Hatzis
Www 2 ggg Athanassios Hatzis
Ignite_Athens
Sharded By Business Line: Migrating to a Core Database using MongoDB and Solr
Sharded By Business Line: Migrating to a Core Database using MongoDB and Solr
MongoDB
Mongo la search platform - january 2013
Mongo la search platform - january 2013
MongoDB
3 022
3 022
Swati Jain
The Role of Kerberos in Identity Mgmt
The Role of Kerberos in Identity Mgmt
ISACA New England
Fqas09
Fqas09
Giorgio Orsi
Recent Internet and Communications Technologies and Business Mind (4/4)
Recent Internet and Communications Technologies and Business Mind (4/4)
Korea Institute of Science and Technology Information
Recent Internet and Communications Technologies and Business Mind (3/4)
Recent Internet and Communications Technologies and Business Mind (3/4)
Korea Institute of Science and Technology Information
Contenu connexe
Similaire à Generating Researcher Networks with Identified Persons on a Semantic Service Platform
Scaling search to a million pages with Solr, Python, and Django
Scaling search to a million pages with Solr, Python, and Django
tow21
Role of Semantic Web in Health Informatics
Role of Semantic Web in Health Informatics
Artificial Intelligence Institute at UofSC
Provenance and Trust
Provenance and Trust
Jose Manuel Gómez-Pérez
Enterprise Search @EPAM
Enterprise Search @EPAM
Alex Kozhemiakin
Architecting Smarter Apps with Entity Framework
Architecting Smarter Apps with Entity Framework
Saltmarch Media
20120419 linkedopendataandteamsciencemcguinnesschicago
20120419 linkedopendataandteamsciencemcguinnesschicago
Deborah McGuinness
Introduction to the Semantic Web
Introduction to the Semantic Web
Marin Dimitrov
SIL rapid capture
SIL rapid capture
Keri Thompson
MongoDB for Genealogy
MongoDB for Genealogy
Steven Francia
Building OBO Foundry ontology using semantic web tools
Building OBO Foundry ontology using semantic web tools
Melanie Courtot
Tagging Up - MMS and Taxonomy In SharePoint 2010
Tagging Up - MMS and Taxonomy In SharePoint 2010
Chris McNulty
Semtech2006
Semtech2006
Adrian Walker
Kuali OLE: A Look at our Software Deliverables Roadmap One Year On
Kuali OLE: A Look at our Software Deliverables Roadmap One Year On
Robert H. McDonald
From WWW to GGG Ignite Athens 2012
From WWW to GGG Ignite Athens 2012
healis
Www 2 ggg Athanassios Hatzis
Www 2 ggg Athanassios Hatzis
Ignite_Athens
Sharded By Business Line: Migrating to a Core Database using MongoDB and Solr
Sharded By Business Line: Migrating to a Core Database using MongoDB and Solr
MongoDB
Mongo la search platform - january 2013
Mongo la search platform - january 2013
MongoDB
3 022
3 022
Swati Jain
The Role of Kerberos in Identity Mgmt
The Role of Kerberos in Identity Mgmt
ISACA New England
Fqas09
Fqas09
Giorgio Orsi
Similaire à Generating Researcher Networks with Identified Persons on a Semantic Service Platform
(20)
Scaling search to a million pages with Solr, Python, and Django
Scaling search to a million pages with Solr, Python, and Django
Role of Semantic Web in Health Informatics
Role of Semantic Web in Health Informatics
Provenance and Trust
Provenance and Trust
Enterprise Search @EPAM
Enterprise Search @EPAM
Architecting Smarter Apps with Entity Framework
Architecting Smarter Apps with Entity Framework
20120419 linkedopendataandteamsciencemcguinnesschicago
20120419 linkedopendataandteamsciencemcguinnesschicago
Introduction to the Semantic Web
Introduction to the Semantic Web
SIL rapid capture
SIL rapid capture
MongoDB for Genealogy
MongoDB for Genealogy
Building OBO Foundry ontology using semantic web tools
Building OBO Foundry ontology using semantic web tools
Tagging Up - MMS and Taxonomy In SharePoint 2010
Tagging Up - MMS and Taxonomy In SharePoint 2010
Semtech2006
Semtech2006
Kuali OLE: A Look at our Software Deliverables Roadmap One Year On
Kuali OLE: A Look at our Software Deliverables Roadmap One Year On
From WWW to GGG Ignite Athens 2012
From WWW to GGG Ignite Athens 2012
Www 2 ggg Athanassios Hatzis
Www 2 ggg Athanassios Hatzis
Sharded By Business Line: Migrating to a Core Database using MongoDB and Solr
Sharded By Business Line: Migrating to a Core Database using MongoDB and Solr
Mongo la search platform - january 2013
Mongo la search platform - january 2013
3 022
3 022
The Role of Kerberos in Identity Mgmt
The Role of Kerberos in Identity Mgmt
Fqas09
Fqas09
Plus de Korea Institute of Science and Technology Information
Recent Internet and Communications Technologies and Business Mind (4/4)
Recent Internet and Communications Technologies and Business Mind (4/4)
Korea Institute of Science and Technology Information
Recent Internet and Communications Technologies and Business Mind (3/4)
Recent Internet and Communications Technologies and Business Mind (3/4)
Korea Institute of Science and Technology Information
Recent Internet and Communications Technologies and Business Mind (2/4)
Recent Internet and Communications Technologies and Business Mind (2/4)
Korea Institute of Science and Technology Information
Recent Internet and Communications Technologies and Business Mind (1/4)
Recent Internet and Communications Technologies and Business Mind (1/4)
Korea Institute of Science and Technology Information
우리 앞에 다가오는 미래 세상
우리 앞에 다가오는 미래 세상
Korea Institute of Science and Technology Information
프레젠테이션 훈련
프레젠테이션 훈련
Korea Institute of Science and Technology Information
InSciTe Project
InSciTe Project
Korea Institute of Science and Technology Information
미래 세상은 어떨까
미래 세상은 어떨까
Korea Institute of Science and Technology Information
Big Data Curation And Its Application
Big Data Curation And Its Application
Korea Institute of Science and Technology Information
Plus de Korea Institute of Science and Technology Information
(9)
Recent Internet and Communications Technologies and Business Mind (4/4)
Recent Internet and Communications Technologies and Business Mind (4/4)
Recent Internet and Communications Technologies and Business Mind (3/4)
Recent Internet and Communications Technologies and Business Mind (3/4)
Recent Internet and Communications Technologies and Business Mind (2/4)
Recent Internet and Communications Technologies and Business Mind (2/4)
Recent Internet and Communications Technologies and Business Mind (1/4)
Recent Internet and Communications Technologies and Business Mind (1/4)
우리 앞에 다가오는 미래 세상
우리 앞에 다가오는 미래 세상
프레젠테이션 훈련
프레젠테이션 훈련
InSciTe Project
InSciTe Project
미래 세상은 어떨까
미래 세상은 어떨까
Big Data Curation And Its Application
Big Data Curation And Its Application
Dernier
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Safe Software
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
Enterprise Knowledge
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
apidays
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
sudhanshuwaghmare1
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
Principled Technologies
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
Results
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
Earley Information Science
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Katpro Technologies
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
Enterprise Knowledge
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
Delhi Call girls
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
The Digital Insurer
Slack Application Development 101 Slides
Slack Application Development 101 Slides
praypatel2
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
hans926745
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
Antenna Manufacturer Coco
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
Pixlogix Infotech
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
Delhi Call girls
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
naman860154
How to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
naman860154
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
Khem
Dernier
(20)
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Slack Application Development 101 Slides
Slack Application Development 101 Slides
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
How to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
Generating Researcher Networks with Identified Persons on a Semantic Service Platform
1.
Generating Researcher Networks
with Identified Persons on a Semantic Service Platform 15 Sep. 2009 Hanmin Jung KISTI BlogTalk2009 1 Copyright © 2004-2009, KISTI
2.
Agenda
Research networks would be useful for finding Collaborators Speakers (Key persons of a researcher group) Issues Getting sources Resolving identities Finding experts Generating networks BlogTalk2009 2 Copyright © 2004-2009, KISTI
3.
Getting sources … BlogTalk2009
3 Copyright © 2004-2009, KISTI
4.
Sources
Identified Entities Papers: 453,124 Elsevier international journal papers with full-texts and metadata Persons: 1,352,220 Topics: 339,947 Institutions: 91,514 Locations: 409,575 (with GPS coordinate) RDF Triples: 283,087,518 (2008.11) BlogTalk2009 4 Copyright © 2004-2009, KISTI
5.
Resolving identities …
How to resolve identities? How to merge different identifiers as one? BlogTalk2009 5 Copyright © 2004-2009, KISTI
6.
OntoFrame
OntoFrame 2008 Service WS API WS API/SPARQL XML Ontology Search Engine Ontologies XML Schemata OntoReasoner® OntoURI® WS API Triple Legacy DB Table Field Listener Generator SQL/ Information Expanded Triples … WS API Answers Ontology Field Instances Information Legacy DB Table DB Tables RDF Triple Store BlogTalk2009 6 Copyright © 2004-2009, KISTI
7.
Ontology
Reference and Academic Knowledge Ontologies BlogTalk2009 7 Copyright © 2004-2009, KISTI
8.
OntoFrame
Syntactic-to-Semantic Process Design Ontology Model Design Ontology Model Edit URI Generation Rules Edit URI Generation Rules Modeling-Time Select Database & Ontology Edit Identity Resolution Rules Select Database & Ontology Edit Identity Resolution Rules Process Edit Mapping Rules Edit Mapping Rules Test Mapping Process Test Mapping Process Normalize Field Values Normalize Field Values Crawl Database Crawl Database Apply Identity Resolution Rules Apply Identity Resolution Rules Refer Authority Data Refer Authority Data Indexing-Time Resolve Identities Resolve Identities Extract Topics Extract Topics Process Assign URIs Assign URIs Apply Mapping Rules Apply Mapping Rules Apply URI Generation Rules Apply URI Generation Rules Generate RDF Triples Generate RDF Triples Run-Time Process Apply sameAs Relations Apply sameAs Relations BlogTalk2009 8 Copyright © 2004-2009, KISTI
9.
Identity Resolution
case 1 case 2 Barry G.T. Barry Christian Christian Lowden Lowden Becker Becker BlogTalk2009 9 Copyright © 2004-2009, KISTI
10.
Identity Resolution
Rules for Resolving Personal Identities Class Resource Kind Match Relation Source Weight Person Order 1 Person Name Pivot Exact Single OntoURI Person hasInstitution Feature Exact Single OntoURI 2 Person Email Feature Number Single 4 Person hasCoauthor Feature Number Multiple OntoReasoner 1 Person hasTopic threshold 0.8 BlogTalk2009 10 Copyright © 2004-2009, KISTI
11.
Identity Resolution
Authority Data Normalized Form Variant Form Kind Class IBM International Business Machines Corporation Abbreviation Institution Microsoft MS Abbreviation Institution Microsoft 마이크로소프트 Korean Institution London 런던 Korean Location Academic Inc. Academic Press Inc, LTD Alternative Publication BlogTalk2009 11 Copyright © 2004-2009, KISTI
12.
Identity Resolution
sameAs Authorization ∅ BlogTalk2009 12 Copyright © 2004-2009, KISTI
13.
Identity Resolution
sameAs Candidates BlogTalk2009 13 Copyright © 2004-2009, KISTI
14.
ReSIST (2006 ~
2008) BlogTalk2009 14 Copyright © 2004-2009, KISTI
15.
ReSIST (2006 ~
2008) Resilience Knowledge Base "Deliverable D31: Final Workshop report" by ReSIST BlogTalk2009 15 Copyright © 2004-2009, KISTI
16.
LOD Project
Linking Open Data Community Project Available in RDF and SVG (Scalable Vector Graphics) versions KISTI http://richard.cyganiak.de/2007/10/lod/ BlogTalk2009 16 Copyright © 2004-2009, KISTI
17.
Finding experts …
How to extract topics? How to determine topics of a researcher? BlogTalk2009 17 Copyright © 2004-2009, KISTI
18.
Topic Extraction
System Architecture BlogTalk2009 18 Copyright © 2004-2009, KISTI
19.
Topic Propagation
Propagating Topics of Entities Article Person BlogTalk2009 19 Copyright © 2004-2009, KISTI
20.
Experts Finding
Process Knowledge expansion Making direct relations for shorter access path Experts retrieval Querying with SPARQL for a given topic Converting SPARQL-to-SQL Using backward chaining path Post-processing Grouping and counting retrieved authors Ranking by names or the number of achievements Making an XML document as the result BlogTalk2009 20 Copyright © 2004-2009, KISTI
21.
Knowledge Expansion
Inference Rule @prefix isrl: <http://www.kisti.re.kr/isrl/ResearchRefOntology#> (?x isrl:hasCreatorInfo ?y) (?y isrl:hasCreator ?z) -> (?x isrl:createdByPerson ?z) Article hasCreatorInfo CreatorInfo createdByPerson hasCreator Person …… BlogTalk2009 21 Copyright © 2004-2009, KISTI
22.
Experts Retrieval
Backward Chaining Path BlogTalk2009 22 Copyright © 2004-2009, KISTI
23.
Generating networks …
How to find a researcher group? How about similar researchers? BlogTalk2009 23 Copyright © 2004-2009, KISTI
24.
OntoFrame 2008 BlogTalk2009
24 Copyright © 2004-2009, KISTI
25.
Researcher Networks (T,
P) BlogTalk2009 25 Copyright © 2004-2009, KISTI
26.
Researcher Networks (T,
P) Process Getting co-author pairs for a target topic (T) SELECT DISTINCT ?person1 ?person2 WHERE { ?article aca:yearOfAccomplishment ?year . FILTER(?year>=startYear && ?year<=endYear) . ?article aca:hasTopicOfArticle <topURI> . ?article aca:createdByPerson ?person1 . ?article aca:createdByPerson ?person2 . FILTER(?person1 < ?person2) . } Selecting a target researcher (P) in the pairs Tracing group members connected with him (seed) BlogTalk2009 26 Copyright © 2004-2009, KISTI
27.
Researcher Networks (P) BlogTalk2009
27 Copyright © 2004-2009, KISTI
28.
Researcher Networks (P)
Process Getting co-author pairs including a target researcher (P) SELECT ?per1 ?per2 WHERE { ?article aca:yearOfAccomplishment ?year . FILTER(?year>=startYear && ?year<=endYear) . ?article aca:createdByPerson ?per1 . ?article aca:createdByPerson ?per2 . FILTER(?per1 < ?per2) . FILTER(?per1=<perURI> || ?per2=<perURI>) . } Ranking them with the frequency of co-authorship BlogTalk2009 28 Copyright © 2004-2009, KISTI
29.
Similar Researchers BlogTalk2009
29 Copyright © 2004-2009, KISTI
30.
Similar Researchers (P)
Process (1/2) Getting topics of a target researcher (P) SELECT ?per1 ?topic WHERE { ?article aca:createdByPerson ?per1 . ?article aca:hasTopicArea ?topicArea . ?topicArea aca:hasTopicOfTopicArea ?topic . FILTER(?per1=<perURI>) . } Ranking and selecting top n topics for him BlogTalk2009 30 Copyright © 2004-2009, KISTI
31.
Similar Researchers
Process (2/2) Getting researchers who largely share topics with him SELECT DISTINCT ?per2 WHERE { ?per2 aca:hasTopicOfPerson ?topic1 . ?per2 aca:hasTopicOfPerson ?topic2 . ?per2 aca:hasTopicOfPerson ?topic3 . ?per2 aca:hasTopicOfPerson ?topic4 . FILTER(?per2!=<perURI>) . FILTER(?topic1 < ?topic2 && ?topic2 < ?topic3 && ?topic3 < ?topic4) . { FILTER(?topic1=<topic[0]> || ?topic1=<topic[1]> || ?topic1=<topic[2]> || ?topic1=<topic[3]> || ?topic1=<topic[4]>) . FILTER(?topic2=<topic[0]> || ?topic2=<topic[1]> || ?topic2=<topic[2]> || ?topic2=<topic[3]> || ?topic2=<topic[4]>) . FILTER(?topic3=<topic[0]> || ?topic3=<topic[1]> || ?topic3=<topic[2]> || ?topic3=<topic[3]> || ?topic3=<topic[4]>) . FILTER(?topic4=<topic[0]> || ?topic4=<topic[1]> || ?topic4=<topic[2]> || ?topic4=<topic[3]> || ?topic4=<topic[4]>) . } BlogTalk2009 31 Copyright © 2004-2009, KISTI
32.
Conclusions
Processes to Generate Researcher Networks Getting sources: Papers Resolving identities: Rules, Authority data, sameAs Finding experts: Topics, Reasoning Generating networks: Topic-, Person-constrained Next Research Topic Service mashup to get researcher networks directly BlogTalk2009 32 Copyright © 2004-2009, KISTI
33.
“A lot of
times, people don’t know what they want until you show it to them.” by Steve Jobs Thank you jhm@kisti.re.kr BlogTalk2009 33 Copyright © 2004-2009, KISTI
Télécharger maintenant