Ohio Center of Excellence on Knowledge-Enabled Computing (Kno.e.sis)

1. Ohio Center of Excellence on Knowledge-Enabled Computing (Kno.e.sis)

2. Ohio Center of Excellence on Knowledge-Enabled Computing (Kno.e.sis) scientiapotentiaest Knowledge is Power Francis Bacon, 1597 …established and popularized deductive methodologies for scientific inquiry

3. Ohio Center of Excellence Knowledge-Enabled Computing (Kno.e.sis) Ohio Center of Excellence on Knowledge-Enabled Computing (Kno.e.sis) Our society has progressed from Agriculture  Industrial  Service  Knowledge … we live in a Knowledge Society

4. Knowledge Economy As the economies have transformed …. … new era … where the principal component of value creation, productivity and economic growth is knowledge. Florida & Kenny 91

5. Knowledge Economy Thousands knowledge-intensive services are leading the all sector in job creation, R&D spending, average wages and growth.

6. affects Migraine Magnesium Stress inhibit isa Knowledge discovery Patient Calcium Channel Blockers 2D-3D & Immersive Visualization, Human Computer Interfaces Impacting bottom line Domain Models/Knowledge Structured text (Scientific publications / white papers) Biomedical Knowledge Discovery, Knowledge Management & Visualization SEMANTICS, MEANING PROCESSING Patterns / Inference / Reasoning Meta data / Semantic Annotations Search and browsing Metadata Extraction/Semantic Annotations Massive amounts of data Clinical Trial Data Experimental Results Public domain knowledge (PubMed)

7. Kno.e.sis Vision Kno.e.sis’ leadership in semantic processing will contribute to basic theory about computation and cognitive systems, and address pressing practical problems associated with productive thinking in the face of an explosion of data. Kno.e.sis intends to lead a march from information age to meaning age.

8. Why Kno.e.sis? • We have exciting vision built on cutting edge research and technology • We incorporate synergy to carry out exceptional vision • We are world class – and recognized as such • Our track record shows we can succeed • We target the growth aspect of economy and regional/state needs

9. Globally Competitive Careers and Economic Development WPAFB Directorates Dayton Region Companies Human Effectiveness Sensor Woolpert REI Tech, Aptima Tech^Edge SAIC LexisNexis Knowledge Workers, Products, Services and Applications Defense/Aerospace R & D Advanced Data Management Human Sciences & Health Care Application to Regional Industry Cluster Kno.e.sis+Faculty Strengths daytaOhio – a WCI • Cognitive Science & Human Factors • Data Analysis/Mining/Visualization • Info. & Knowledge Mgmt • Web 3.0 (Semantics, Services, Sensors) • Virtual Worlds, Social Computing • High Performance/Cloud Computing • Bioinformatics/Biomedicine, Healthcare • Visualization and Data Mgt Infrastructure • Consulting and Technology Transfer Academic Research and Infrastructure

11. Significant Infrastructure VERITAS Whole-Body Laser Range Scanner stereoscopic 3D visualization NMR AVL

12. Exceptional • Regional Collaboration • At least 6 active projects with AFRL/WPAFB • Human Effectiveness Directorate • Sensors Directorate

13. Exceptional • National Collaboration • Univ. of Georgia, Stanford, Purdue, OSU, Ohio U., Indiana U. UC-Irvine, Michigan State U., Army, W3C • Microsoft, IBM, HP, Google

14. Exceptional International Collaboration • U. Manchester, TU-Copenhagen, TU-Delft, DERI (Ireland), Max-Planck Institute, U. Melbourne, U Queensland, NICTA-Australia,CSIRO, DA-IICT (India)

15. Ohio Center of Excellence on Knowledge-Enabled Computing (Kno.e.sis) Knowledge & Next Generation of the Web Web has become the core infrastructure for the knowledge economy Web 1.0: Web of Documents and Media Web 2.0: Web of People Web 3.0: Web of Meaning MeenaNagarajan Advanced Data Management

16. KNOWLEDGE EXTRACTION “Human Cognition” AND Psychology AND Neuroscience?

17. Harvesting Community Knowledge & Scientific Corpus “Human Cognition” AND Psychology AND Neuroscience

18. Human Performance & Cognition Ontology

19. INSIGHTS &KNOWLEDGE DISCOVERY

20. DataExploration on the Web Utilizes semantic information from domain models to guide user interaction • “PTEN protein could inhibit cell invasion even in the presence of ... epidermal growth factor receptor (EGFR)” [PMID: 15986432] • “EGF and hypoxia induce CXCR4 in non-small cell lung cancer...” [PMID:15802268] • Record navigation trail: • EGFR  induces  CXCR4

21. Cuebee and Scooner Shared as open source, with demos online.

22. Ohio Center of Excellence Knowledge-Enabled Computing SEMANTIC SENSOR WEB

23. Semantic Sensor Web Utilizes semantic technologies to bridge the divide between the “real-world” and the Web Environment Sensor Observation Physical World (“real-world”) Information Space (Web) Perception Situation Awareness Sensor Data

24. Semantic Sensor Web • Linked Sensor Data provides semantic descriptions for: • ~20,000 weather stations in the United States. • 160 million observations (~2 billion statements). • named locations that are nearby (in Geonames) near weather station

25. Ohio Center of Excellence Knowledge-Enabled Computing (Kno.e.sis) SEMANTIC SOCIAL WEB

26. Everyone Wants to talk …and be heard! Hundreds and thousands of tweets, facebook posts, blogs about a single event, multiple narratives, strong opinions, breaking news..

27. TWITRIS : Twitter+Tetris • Our attempt to help you keep up with citizen observations on Twitter • WHAT are people saying, WHEN, from WHERE • Puts citizen reports in context for you by overlaying it with news, wikipedia articles!

28. Twitris Demo

29. Ohio Center of Excellence on Knowledge-Enabled Computing (Kno.e.sis) Many biomedical collaborations: Nick Reo, Toxicology; Tim Cope, Neuroscience; Jerry Alter, Protein Science; Oleg Paliey, Microbiolgy and health Many health care collaborations: Kate Cauley, Center for Healthy Communities; UC-Irvine – Emergency health, Sonia Michail, obesity & intestinal health; Bradley Jacobs, human health Biomedical & Health Sciences From data to understanding Mike Raymer Human Sciences & Health Care

30. Biomedical & Health Sciences From data to understanding

31. Computation & Life Science • Publication/Funding Trends Perez-Iratxeta, C. et al. Brief Bioinform 2007 8:88-95; doi:10.1093/bib/bbl035

32. Biomedical & Health Sciences From data to understanding • Toxicology • Neuroscience • Protein science • Pediatrics • Clinical psychology • Obesity • Krohn’s disease • Treating Schizophrenia • Emergency Health

33. Cross-disciplinary workHow we do it • Determine whether exposure has occurred • Including low-dose exposure • Predict downstream outcome • Organ/system toxicity vs. recovery • Using easily deployable tests • Blood, urine, etc.

34. Cross-disciplinary workHow we do it - 2

35. Nationwide Health CDC VA IHS DoD SSA State and Local Gov Health Bank orPHR Support Organization Community Health Centers Community #1 Labs As part of Nationwide Health Information Network effort, Center for Healthy Communities (CHC) will use its HIExTM system, supported through Wright State HealthLink and medical providers to electronically transmit data from their certified EHRs to the Social Security Administration (SSA). This will improved quality of care through analysis of large data sets documenting treatments and outcomes. Knoesis will be in the forefront creating the systems intelligence to better understand this complex, integrated information both at the individual provider level and in the realm of population health. CHC received ~1M contact from SSA. IntegratedDelivery System Pharmacies Community #2

36. Biomedical & Health Sciences From data to understanding Data Information Understanding

37. Ohio Center of Excellence on Knowledge-Enabled Computing (Kno.e.sis) Cognitive Science & applications to Human Effectiveness John Flach Defense/Aerospace R & D

38. Ohio Center of Excellence on Knowledge-Enabled Computing (Kno.e.sis)

39. Brightest Idea Award:National Center for Technology Innovation

40. VERITAS Robert Gilkey

41. Cognitive Systems Engineering

42. Cognitive Systems Engineering

43. GRAPHICAL INTERFACESKevin Bennett

44. Total Energy Path Display

45. Putting Humans Into Control Samuel Pierpont Langley

46. Regional Impact • Collaboration by daytaOhio and the Dayton Development Coalition to Leverage Kno.e.sis • Terry Rapoch – President/CEO daytaOhio • Jim Leftwich – CEO Dayton Development Coalition

47. Regional Development Model Knoesis Advanced Data Analysis

48. Collaboration Objectives • Complement the knoesis Center in two ways that are consistent with daytaOhio’s vision and regional role • Expanding the scope of R&D into knowledge services • Identifying opportunities to commercialize the knowledge services developed by Kno.e.sis • Enhance the impact of Kno.e.sis on regional economic development • Attracting more research funding and talent • Providing commercial channel for knoesis innovations • Supporting knowledge base start ups • Bringing new products and service to existing businesses

49. Process • Continue to develop initial opportunities with LexisNexis • Catalog knoesis Intellectual Property available for commercialization • Qualify additional partners in the region working with Dayton Development Coalition • Expand role of knoesis in regional human centered innovation opportunities

50. Partners • AFRL/HPW-RHCB/WSU • SAIC • Sensor web • Kettering/Siemens • Image knowledge extraction • LexisNexis • Ontology, semantics browsers • Ohio IT Alliance/Point Energy Solutions • Knowledge extraction • Researchand development • Evaluation of systems and process using Virtual Reality • Integration of sensors into immersive visualizations • Medical – post processing of images into immersive environments • Commercial direction • Integration, knowledge services IP • Data center energy