inscite project
TRANSCRIPT
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Copyright © 2013, KISTIMSRA Meeting (2013.1)
InSciTe Project
Hanmin JungHead of the Dept. of Computer Intelligence Research
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Copyright © 2013, KISTIMSRA Meeting (2013.1)
KISTI
Institute of Advanced Information
S/W Research Center
Dept. of Computer Intelligence Research
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Copyright © 2013, KISTIMSRA Meeting (2013.1) 3
Human vs. Machine Intelligence
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Copyright © 2013, KISTIMSRA Meeting (2013.1) 4
Machine Intelligence
http://powet.tv/powetblog/wp-content/uploads/2011/02/watson_the_computer_beats_ken_jennings_and_brad_rutter_at_jeopardy_full.jpg
� IBM Watson
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Copyright © 2013, KISTIMSRA Meeting (2013.1)
Machine Intelligence
http://cdn3.digitaltrends.com/wp-content/uploads/2011/10/1200-siri.jpg
� Standford’s Robotic Car
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Copyright © 2013, KISTIMSRA Meeting (2013.1)
Machine Intelligence
http://cdn3.digitaltrends.com/wp-content/uploads/2011/10/1200-siri.jpg
� Apple Siri
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Copyright © 2013, KISTIMSRA Meeting (2013.1) 7
Web Evolution
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Copyright © 2013, KISTIMSRA Meeting (2013.1) 8
Size of Data in the World
http://www.ektron.com/billcavablog/Big-Data-Big-Content-Big-Challenges/
Q: How about human?
A: Our brain has the capacityto store informationin the hundreds of terabytesto petabyte range.
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Copyright © 2013, KISTIMSRA Meeting (2013.1) 9
Effect of Big Data
� Search Evaluation
http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en//pubs/archive/40491.pdf
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Copyright © 2013, KISTIMSRA Meeting (2013.1) 10
Search
Clustering
Extracting
DecisionSupport
Forecasting
ScenarioPlanning
Advising
Modified from D. Bousfield & P. Fooladi, “STM Information: 2009 Final Market Size and Share Report”, 2010.
Value Pyramid
InSciTe Advanced (2011)
InSciTe Adaptive (2012)
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Copyright © 2013, KISTIMSRA Meeting (2013.1)
Needs of Experts
Relationship between technologiesRelationship between technologies
Leading companiesLeading companies
Technology gapTechnology gap
New entriesNew entries
Social informationSocial information
Technology hierarchyTechnology hierarchyStandard patentsStandard patents
Product informationProduct information
Trend reportsTrend reports
Search historySearch history
Partner candidates recommendationPartner candidates recommendation
Significance of papers/patentsSignificance of papers/patents
Market sharesMarket shares
Citation informationCitation information
Key players in groupKey players in group
Core technologiesCore technologiesMarket sizeMarket size
Information verificationInformation verification
11
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Copyright © 2013, KISTIMSRA Meeting (2013.1)
Technology Intelligence
R. Rohrbeck, H. Arnold, and J. Heuer, “Strategic Foresight in Multimedia Enterprises”, 2007.
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Copyright © 2013, KISTIMSRA Meeting (2013.1) 13
Quantitative Analytics
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Copyright © 2013, KISTIMSRA Meeting (2013.1) 14
Quantitative Analytics
http://www.google.com/insights/search/
� Insights for Search
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Copyright © 2013, KISTIMSRA Meeting (2013.1) 15
TI Projects
� FUSE
� Funded by IARPA (early 2011 ~ early 2016)
� Kick off meeting in summer, 2011
� Foresight and Understanding from Scientific Exposition Program
� Seeks to develop automated methods that aid in the systematic, continuous, and comprehensive assessment of technical emergence using information found in the published scientific, technical, and patent literature
� Partners
� BAE Systems, Brandeis Univ., New York Univ., 1790 Analytics, …
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Copyright © 2013, KISTIMSRA Meeting (2013.1)
TI Projects
� CUBIST
� Funded by the European Commission (late 2010 ~ late 2013)
� 1st CUBIST workshop in July, 2011
� Combining and Uniting Business Intelligence with Semantic TechnologiesProgram
� Aims to develop new ways to interrogate not only the massive volume data on the Internet, but also analyze the different formats it exist in – such as blogs, wikis, and video
� Partners
� SAP, Ontotext, Sheffield Hallam Univ., …
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Copyright © 2013, KISTIMSRA Meeting (2013.1)
TI Projects
� Common Technologies
� Semantic technologies
� Ontology, reasoning, URI scheme
� Analytics model
� BYOM (e.g. technology opportunity discovery model, technology evolution model, formal concept analysis model)
� Information extraction (InSciTe, FUSE)
� Named entities and events/relations in textual documents
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Copyright © 2013, KISTIMSRA Meeting (2013.1)
InSciTe Advanced (2011)
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Copyright © 2013, KISTIMSRA Meeting (2013.1)
InSciTe Advanced (2011)
� Data Fact Sheet
� Articles: 15.4 millions (6.7 millions for papers, 8.7 millions for patents)
� IEEE proceedings/journals (2001~2011)
� Papers for all technical areas (2009~2011)
� US/EU/Japan patents (2001~2011)
� Technical terms: 68 thousands
� Institutions: 340 thousands
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Copyright © 2013, KISTIMSRA Meeting (2013.1) 20
InSciTe Adaptive (2012)
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Copyright © 2013, KISTIMSRA Meeting (2013.1)
InSciTe Adaptive (2012)
� Crawling Web Data by RSS & Google API
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Copyright © 2013, KISTIMSRA Meeting (2013.1)
InSciTe Adaptive (2012)
� Data Fact Sheet
� Articles: 22.6 millions (9.8 millions for papers, 7.6 millions for patents, 5.3 millions for Web data)
� All technical areas (2001~2011)
� Named entities: 1.9 millions
� Authority dictionary: 1.5 millions entries
� Linked Data: 290 GB (will be connected)
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Copyright © 2013, KISTIMSRA Meeting (2013.1) 23
InSciTe Adaptive (2012)
� Big Data Test Bed
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Copyright © 2013, KISTIMSRA Meeting (2013.1)
Case Studies
� Ministry of Justice (2007~)
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Copyright © 2013, KISTIMSRA Meeting (2013.1)
Case Studies
� Korea Customs Service (2010~2011)
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Copyright © 2013, KISTIMSRA Meeting (2013.1) 26
Case Studies
� Defense Agency for Technology and Quality (2011~2012)
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� ISTIC, China
� For national digital library based on analytics
Case Studies
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Copyright © 2013, KISTIMSRA Meeting (2013.1)
InSciTe Architecture
Analytics Models
ETD ModelEmerging Technology Discovery Model
TLCD ModelTechnology Life Cycle Discovery Model
TLC ModelTechnology Life Cycle Model
OntoRelFinder®Relationship Path Finder
OntoReasoner®Reasoning Engine
OntoURI®Semantic Knowledge Manager
OntoPipeliner®Semantic Service Composer
SS&AESemantic Search & Analytics Engine
OntoURIResolver®Identity Resolver
SINDI-CORE/LINKEntity & Relationship Extractor
TUC ModelTerminology Use Cycle Model
Ontology
Linked Data
OntoFrame
OntoVerifier®Reasoning Verifier
Web Data CrawlerRSS/Google API
Web Data
Literatures
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Copyright © 2013, KISTIMSRA Meeting (2013.1)
InSciTe Project
� Goal & Tasks (2013)
� Development of S&T Literature Big Data Analytics/Application Platform
� Big Data mining technology
� Semantic analytics technology
� Big Data relationship analytics/application technology
� Technologies
� Text mining
� Multimedia mining
� Semantic integration
� Reasoning and graph analysis
� Modeling and assess for relationship analytics and application
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Copyright © 2013, KISTIMSRA Meeting (2013.1)
InSciTe Project
� Partners (2013)
� OVUM, UK
� Building analytics model
� Understanding business needs
� Planning InSciTe service
� MSRA, China
� TBD
� GESIS & Hildesheim Univ., Germany
� Analyzing patent trends
� Assessing InSciTe service platform
� …
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Copyright © 2013, KISTIMSRA Meeting (2013.1) 31
Homepage
http://semantics.kisti.re.kr
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Copyright © 2013, KISTIMSRA Meeting (2013.1) 3232
Thank you
“A lot of times, people don’t know what they want until you show it to them.”
by Steve Jobs
“Many people won’t be convinced until they’ve seen it for themselves.”
by Jakob Nielsen