Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

InSciTe Project

481 views

Published on

Published in: Technology, Education
  • Be the first to comment

InSciTe Project

  1. 1. Copyright © 2013, KISTIMSRA Meeting (2013.1)InSciTe ProjectHanmin JungHead of the Dept. of Computer Intelligence Research
  2. 2. Copyright © 2013, KISTIMSRA Meeting (2013.1)KISTIInstitute of Advanced InformationS/W Research CenterDept. of Computer Intelligence Research
  3. 3. Copyright © 2013, KISTIMSRA Meeting (2013.1) 3Human vs. Machine Intelligence
  4. 4. Copyright © 2013, KISTIMSRA Meeting (2013.1) 4Machine Intelligencehttp://powet.tv/powetblog/wp-content/uploads/2011/02/watson_the_computer_beats_ken_jennings_and_brad_rutter_at_jeopardy_full.jpgIBM Watson
  5. 5. Copyright © 2013, KISTIMSRA Meeting (2013.1)Machine Intelligencehttp://cdn3.digitaltrends.com/wp-content/uploads/2011/10/1200-siri.jpgStandford’s Robotic Car
  6. 6. Copyright © 2013, KISTIMSRA Meeting (2013.1)Machine Intelligencehttp://cdn3.digitaltrends.com/wp-content/uploads/2011/10/1200-siri.jpgApple Siri
  7. 7. Copyright © 2013, KISTIMSRA Meeting (2013.1) 7Web Evolution
  8. 8. Copyright © 2013, KISTIMSRA Meeting (2013.1) 8Size of Data in the Worldhttp://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.
  9. 9. Copyright © 2013, KISTIMSRA Meeting (2013.1) 9Effect of Big DataSearch Evaluationhttp://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en//pubs/archive/40491.pdf
  10. 10. Copyright © 2013, KISTIMSRA Meeting (2013.1) 10SearchClusteringExtractingDecisionSupportForecastingScenarioPlanningAdvisingModified from D. Bousfield & P. Fooladi, “STM Information: 2009 Final Market Size and Share Report”, 2010.Value PyramidInSciTe Advanced (2011)InSciTe Adaptive (2012)
  11. 11. Copyright © 2013, KISTIMSRA Meeting (2013.1)Needs of ExpertsRelationship between technologiesRelationship between technologiesLeading companiesLeading companiesTechnology gapTechnology gapNew entriesNew entriesSocial informationSocial informationTechnology hierarchyTechnology hierarchyStandard patentsStandard patentsProduct informationProduct informationTrend reportsTrend reportsSearch historySearch historyPartner candidates recommendationPartner candidates recommendationSignificance of papers/patentsSignificance of papers/patentsMarket sharesMarket sharesCitation informationCitation informationKey players in groupKey players in groupCore technologiesCore technologiesMarket sizeMarket sizeInformation verificationInformation verification11
  12. 12. Copyright © 2013, KISTIMSRA Meeting (2013.1)Technology IntelligenceR. Rohrbeck, H. Arnold, and J. Heuer, “Strategic Foresight in Multimedia Enterprises”, 2007.
  13. 13. Copyright © 2013, KISTIMSRA Meeting (2013.1) 13Quantitative Analytics
  14. 14. Copyright © 2013, KISTIMSRA Meeting (2013.1) 14Quantitative Analyticshttp://www.google.com/insights/search/Insights for Search
  15. 15. Copyright © 2013, KISTIMSRA Meeting (2013.1) 15TI ProjectsFUSEFunded by IARPA (early 2011 ~ early 2016)Kick off meeting in summer, 2011Foresight and Understanding from Scientific Exposition ProgramSeeks to develop automated methods that aid in the systematic,continuous, and comprehensive assessment of technical emergence usinginformation found in the published scientific, technical, and patentliteraturePartnersBAE Systems, Brandeis Univ., New York Univ., 1790 Analytics, …
  16. 16. Copyright © 2013, KISTIMSRA Meeting (2013.1)TI ProjectsCUBISTFunded by the European Commission (late 2010 ~ late 2013)1st CUBIST workshop in July, 2011Combining and Uniting Business Intelligence with Semantic TechnologiesProgramAims to develop new ways to interrogate not only the massive volume dataon the Internet, but also analyze the different formats it exist in – such asblogs, wikis, and videoPartnersSAP, Ontotext, Sheffield Hallam Univ., …
  17. 17. Copyright © 2013, KISTIMSRA Meeting (2013.1)TI ProjectsCommon TechnologiesSemantic technologiesOntology, reasoning, URI schemeAnalytics modelBYOM (e.g. technology opportunity discovery model, technologyevolution model, formal concept analysis model)Information extraction (InSciTe, FUSE)Named entities and events/relations in textual documents
  18. 18. Copyright © 2013, KISTIMSRA Meeting (2013.1)InSciTe Advanced (2011)
  19. 19. Copyright © 2013, KISTIMSRA Meeting (2013.1)InSciTe Advanced (2011)Data Fact SheetArticles: 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 thousandsInstitutions: 340 thousands
  20. 20. Copyright © 2013, KISTIMSRA Meeting (2013.1) 20InSciTe Adaptive (2012)
  21. 21. Copyright © 2013, KISTIMSRA Meeting (2013.1)InSciTe Adaptive (2012)Crawling Web Data by RSS & Google API
  22. 22. Copyright © 2013, KISTIMSRA Meeting (2013.1)InSciTe Adaptive (2012)Data Fact SheetArticles: 22.6 millions (9.8 millions for papers, 7.6 millions for patents, 5.3millions for Web data)All technical areas (2001~2011)Named entities: 1.9 millionsAuthority dictionary: 1.5 millions entriesLinked Data: 290 GB (will be connected)
  23. 23. Copyright © 2013, KISTIMSRA Meeting (2013.1) 23InSciTe Adaptive (2012)Big Data Test Bed
  24. 24. Copyright © 2013, KISTIMSRA Meeting (2013.1)Case StudiesMinistry of Justice (2007~)
  25. 25. Copyright © 2013, KISTIMSRA Meeting (2013.1)Case StudiesKorea Customs Service (2010~2011)
  26. 26. Copyright © 2013, KISTIMSRA Meeting (2013.1) 26Case StudiesDefense Agency for Technology and Quality (2011~2012)
  27. 27. Copyright © 2013, KISTIMSRA Meeting (2013.1) 27ISTIC, ChinaFor national digital library based on analyticsCase Studies
  28. 28. Copyright © 2013, KISTIMSRA Meeting (2013.1)InSciTe ArchitectureAnalytics ModelsETD ModelEmerging Technology Discovery ModelTLCD ModelTechnology Life Cycle Discovery ModelTLC ModelTechnology Life Cycle ModelOntoRelFinder®Relationship Path FinderOntoReasoner®Reasoning EngineOntoURI®Semantic Knowledge ManagerOntoPipeliner®Semantic Service ComposerSS&AESemantic Search & Analytics EngineOntoURIResolver®Identity ResolverSINDI-CORE/LINKEntity & Relationship ExtractorTUC ModelTerminology Use Cycle ModelOntologyLinked DataOntoFrameOntoVerifier®Reasoning VerifierWeb Data CrawlerRSS/Google APIWeb DataLiteratures
  29. 29. Copyright © 2013, KISTIMSRA Meeting (2013.1)InSciTe ProjectGoal & Tasks (2013)Development of S&T Literature Big Data Analytics/Application PlatformBig Data mining technologySemantic analytics technologyBig Data relationship analytics/application technologyTechnologiesText miningMultimedia miningSemantic integrationReasoning and graph analysisModeling and assess for relationship analytics and application
  30. 30. Copyright © 2013, KISTIMSRA Meeting (2013.1)InSciTe ProjectPartners (2013)OVUM, UKBuilding analytics modelUnderstanding business needsPlanning InSciTe serviceMSRA, ChinaTBDGESIS & Hildesheim Univ., GermanyAnalyzing patent trendsAssessing InSciTe service platform…
  31. 31. Copyright © 2013, KISTIMSRA Meeting (2013.1) 31Homepagehttp://semantics.kisti.re.kr
  32. 32. Copyright © 2013, KISTIMSRA Meeting (2013.1) 3232Thank youjhm@kisti.re.kr“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

×