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Applications of the Interspace Analysis for Community Repositories

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Presentation on theme: "Applications of the Interspace Analysis for Community Repositories"— Presentation transcript:

1 Applications of the Interspace Analysis for Community Repositories
Bruce Schatz CANIS Laboratory Graduate School of Library and Information Science University of Illinois at Urbana-Champaign Graduate School of Informatics Kyoto University, November 28, 2001

2 THE THIRD WAVE OF NET EVOLUTION
CONCEPTS OBJECTS PACKETS

3 Technological Progress
In the past decade, technology has created the Genome and the Web In 1991, these ideas were only plans In 2001, they have already progressed from research systems to commercial products In the next decade, the revolution will actually begin and the world will be completely different!

4 Paradigm Shift (Pre) The Coming of Informational Science
Towards Dry-Lab Biology, Walter Gilbert (Jan 1991) “The new paradigm, now emerging, is that all the 'genes' will be known (in the sense of being resident in databases available electronically), and that the starting point of a biological investigation will be theoretical. An individual scientist will begin with a theoretical conjecture, only then turning to experiment to follow or test that hypothesis. ... To use this flood of knowledge [the total sequence of the human and model organisms], which will pour across the computer networks of the world, biologists not only must become computer-literate, but also change their approach to the problem of understanding life The Coming of Informational Science Correlation of Information across Sources

5 Paradigm Shift (Post) Dissecting Human Disease, Victor McKusick (Feb 2001) Structural genomics Functional genomics Genomics Proteomics Map-based gene discovery Sequence-based gene discovery Monogenic disorders Multifactorial disorders Specific DNA diagnosis Monitoring susceptibility Analysis of one gene Analysis of multi-gene pathways Gene action Gene regulation Etiology (mutation) Pathogenesis (mechanism) One species Several species

6 Analysis Environments I
The Present -- Year 2001 Search Central Archives Locating a Generic (average) solution mining sequences from the Genome diagnosing diseases from the Clinical Trial some Problems may have point Solutions find the cystic fibrosis gene find the diabetes treatment

7 Analysis Environments II
The Future -- Year 2011 Navigate Distributed Repositories Locating a Specific (situational) solution correlating sequences, genes, expressions correlating diagnoses, treatments, lifestyles most Problems have cluster Solutions find genes for Heart Disease find treatments for Arthritis

8 Testbeds of the Future WCS -- a testbed for the world of 2001
community repositories before the Web in 1991, a distributed analysis environment MCS -- a testbed for the world of 2011 concept navigation before the Interspace in 2001, a biomedical analysis environment to enable Michigan Corridor faculty and students to live in the world of the future (information space)

9 Community Systems browse and share all the knowledge of a community
data results (database management) (electronic mail) knowledge (hypertext annotations) literature news (information retrieval) (bulletin boards) Formal Informal browse and share all the knowledge of a community

10 Worm Community System WCS Information:
Literature BIOSIS, MEDLINE, newsletters, meetings Data Genes, Maps, Sequences, strains, cells WCS Functionality Browsing search, navigation Filtering selection, analysis Sharing linking, publishing WCS: 250 users at 50 labs across Internet (1991)

11 WCS Molecular

12 WCS Cellular

13 WCS Publishing

14 WCS Linking

15 WCS invokes gm

16 WCS vis-à-vis acedb

17 A Model Community 1984-1988 Telesophy (Bellcore)
prototype to federate objects WCS (Arizona) testbed in molecular biology National Model for Biomedical Informatics NAS National Collaboratories report NIH Human Brain project Translational Results NCSA Mosaic into Web browsers acedb (worm) into Genome databases Biology Workbench, 10K users across Web

18 Towards A Model Discipline
Interspace (Illinois, Urbana) prototype to federate concepts MEDSPACE (Illinois, Chicago) testbed in clinical medicine (plan, demo) National Model for Biomedical Informatics lead news in Science on MEDLINE dry-run Best Paper at AMIA (Medical Informatics) MCS (Michigan) testbed in biomedical research

19 Michigan Interspace Gather the Information Sources
Michigan Corridor System (MCS) each (department, institute, lab) has repository Generate the Community Repositories text documents with articles and annotations specialty datatypes: databases and motifs Construct the Analysis Environment federated concept navigation across repositories type-dependent parsing for text/data interlinks

20 MCS Sources Literature Databases Journals: MEDLINE, BIOSIS, full-text
Specialty Conferences (e.g. Neuroscience) Community Newsletters, Lab Annotations Databases Sequences: GENBANK, Celera Genes and Maps from Model Organisms Microarray Expressions, Protein Structures Gene Pathways, Cellular Anatomy

21 Ten Steps from Here to There
Determine Users (range of needs) Develop Hardware (networks) Determine Collections (range of types) Develop Software (databases) Interlinks Automatic (name recognition) Interlinks Manual (distributed annotation) Community Literature (journals, conferences) Concept Navigation (indexing, switching) Custom Databases (community datasets) Custom Software (specialized analysis)

22 THE NET OF THE 21st CENTURY
Beyond Objects to Concepts Beyond Search to Analysis Problem Solving via Cross-Correlating Multimedia Information across the Net Every community has its own special library Every community does semantic indexing The Interspace is true Cyberspace

23 Healthcare Infrastructure
For Amateurs rather than Professionals packaged Interspace with inferred navigation Internet Health Monitors for ordinary persons Generate the Personal Repositories interact with health status questionnaires builds a customized dynamic database Construct the Analysis Environment similarity matching to locate similar patients Evolve Community Interspace statistical clustering for lifestyle coaching


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