Program of Academic Excellence
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Darrell provides a delegation of Chinese publishers with an overview of semantic technology applications for scientific researchers.

Darrell provides a delegation of Chinese publishers with an overview of semantic technology applications for scientific researchers.

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Program of Academic Excellence Presentation Transcript

  • 1. "How semantic technology enhances the productivity of scientific researchers." Darrell W. Gunter Collexis an Elsevier Company August 5, 2010
  • 2. Our Agenda For Today The Challenges of Scientific Research The Collexis Technology Case Studies  Professional Networks  Institutional Networks Johns Hopkins & Asklepios  Managing the Peer Review Process Summation
  • 3. The Facts • 90 – 100 hours to write an article Researchers • 2 – 3 Peer Review 3 – 6 hrs • Articles 154 vs. 83 • # pages/article 12.4 vs. Journal Growth 7.4 • Total pages 2,216 vs. 820 23,000 Jnls / 90% electronic /Articles – 800K+ The Author is under great pressure! 1,2,3
  • 4. Collexis Fingerprint Engine Collexis Technology Text KnowledgeBase Fingerprint
  • 5. Collexis Knowledge Engine 7.0 Abbreviation Tokenizer Normalizer expansion Language Coordination Dehyphenation detection expansion Part-of-Speech Entity recognition Noun phrase tagging based on regular expressions detection Part-of-speech Exclude known Concept finding based disambiguation of thesaurus concepts idioms Fingerprint aggregation
  • 6. Collexis Knowledge Engine 7.0 Modular NLP workbench – processing and analyzing of text documents Retrieval and aggregation engine – serving the application layer
  • 7. Collexis – selected references Dana Farber Cancer Institute Asklepios Kliniken Johnson & Johnson Harvard University National Institutes of Health Johns Hopkins University University of California, San Franciscio American Institute of Physics Mayo Clinic Stanford University The Wellcome Trust California Institute for Albert Einstein College of Quantitative Biosciences (QB3), Medicine
  • 8. Explore instead of Searching!
  • 9. Creating expert profiles from documents using semantic technologies Document fingerprints aggregated to expert profiles!
  • 10. BiomedExperts – more than 300,000+ registered users Prepopulated network – based on PubMed 1.8 million precalculated experts More than 24 million co-author relations between them Representing over 3,500 institutions From 190 countries Growing each day between 500 and 1000 users BME data used in other applications
  • 11. Co-author based networks
  • 12. Geographical mapping of the co-author network
  • 13. Johns Hopkins: The Issue! Connecting Experts Fall retreat: Main issue how do they take advantage of the university‟s expertise and build collaboration First solution – Repurpose a parking lot to be a coffee shop for the JH community to grab a cup of Joe and find new collaborators. Outcome – Great coffee, great conversation but collaboration did not take off. The Collexis Solution – Expert Institutional Dashboard!
  • 14. Same Application for the NIH
  • 15. Asklepios Facts and Figures • Asklepios - Europe„s largest health care provider – 500.000 patients for inpatient care per year, 95 hospitals, 21.000 beds – 34.500 employees – Asklepios owns medical nursing and allied health schools – Home care programs and residential care programs • Asklepios International – Pacific Health System – California – Greece, Athens Medical Center – University hospital in Shanghai: Joint Venture with Siemens and Tongji University
  • 16. Why Knowledge Management? Guide Workflows Optimize Workflows Distribute (e.g. Care Plans, Expert- (e.g. Avoid interruptions Expert Knowledge Task Context Allocation) caused by knowledge search, (across multiple locations, retrieval, and application) time zones, medical conditions) Stimulate new Help Asklepios to know Knowledge Acquisition Usage “what Asklepios knows” Models
  • 17. Use Case 1 – Expert profiles • Patient, male, age of 62, needs a knee joint prosthesis due to Rheumatoid Arthritis • Where is the best place to get it? • Criteria which will be taken into account: – Geographical aspects – Recommendation of his GP – Publicly available information - mostly via Internet • Strongest competitors: university hospitals (within the region)
  • 18. Asklepios Research Profiles
  • 19. Expert Profile of Prof. Grifka
  • 20. Make Internal Expertise available!
  • 21. Provide a single point of search for all relevant content from publishers! Link internal expertise / experience and external knowledge sources!
  • 22. Use Case 4 - External Resources and Internal Experience Use Case 4 - External Resources and Internal Experience • Patient with lung cancer and reduced renal function • Decision in chemotherapeutic drug is pending • Preferred choice: Cisplatin as chemotherapeutic agent • Open questions: can Cisplatin be used which has nephrotoxicity as a side effect?
  • 23. Asklepios Intelligent Digital Library Search - Cisplatin shows the relevant publications from Springer, Elsevier, Thieme, OVID and other publishers
  • 24. Link External Knowledge and Internal Expertise Opening an journal article… …shows immediately similar publications colleagues … and the names and expert profiles
  • 25. Key Issues in STM Industry Publishers / Editors  Finding the right reviewer  Expanding their pool of reviewers Institutions  Determining what grants they should go after  Determining who within their organization is best to apply Grant Funding Organizations  Analyzing the vast amount of grant applications submitted.  Determining who within the organization is best qualified to review the grant application (known and unknown)
  • 26. The Challenge for STM Publishers Receive thousands of manuscripts annually Timely process to conduct the Peer Review Process Timely process to determine who should review it. Important for reviewer to free of conflicts of interest Ethics of review process are paramount
  • 27. Key Benefits Reviewer Finder Fingerprint of manuscript - Clarity Determine the best reviewer Free of conflicts More efficient and effective process Ultimately increases profitability
  • 28. The effectiveness of Semantic Technology Aggregates the researcher's publications into a Fingerprint of weighted relevant concepts Expert Profiles (individual, institution, dept, country,etc.) Shows co-author relationships (who publishes with whom) Conduct search by key concepts Match content from a variety of sources based on a key concept, researcher, country, etc. Determine expert for peer review, grant application, project, etc.
  • 29. Thank you for your attention! www.collexis.com Darrell W. Gunter gunter@collexis.com, cell +1-973-454-3475