Darrell W. Gunter
Collexis an Elsevier Company
August 5, 2010
"How semantic technology enhances the productivity of scientific researchers."
Our Agenda For TodayThe Challenges of Scientific Research
The Collexis Technology
Case Studies
Professional Networks
Institutional Networks Johns Hopkins & Asklepios
Managing the Peer Review Process
Summation
The Facts
• 90 – 100 hours to
write an article
• 2 – 3 Peer Review 3 –
6 hrs
Researchers
• Articles 154 vs. 83
• # pages/article 12.4 vs.
7.4
• Total pages 2,216 vs.
820
Journal Growth
23,000 Jnls / 90% electronic /Articles –
800K+
1,2,3
The Author is under great pressure!
Collexis Technology
KnowledgeBaseText Fingerprint
Collexis Fingerprint Engine
Collexis Knowledge Engine 7.0
Tokenizer NormalizerAbbreviation
expansion
DehyphenationLanguage
detection
Coordination
expansion
Part-of-Speech
taggingEntity recognition based on regular expressions
Noun phrase
detection
Concept findingPart-of-speech based disambiguation of
thesaurus concepts
Exclude known
idioms
Fingerprint
aggregation
Collexis Knowledge Engine 7.0Modular NLP workbench – processing and analyzing of text
documents
Retrieval and aggregation engine – serving the application
layer
Collexis – selected references
American Institute of Physics Stanford University
Asklepios Kliniken Johnson & Johnson
Johns Hopkins University University of California, San
Franciscio
Dana Farber Cancer Institute
Harvard University
National Institutes of Health
Mayo Clinic
California Institute for
Quantitative Biosciences (QB3),
The Wellcome Trust Albert Einstein College of
Medicine
Explore instead of Searching!
Creating expert profiles from documents using semantic technologies
Document fingerprints aggregated to expert profiles!
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
Co-author based
networks
Geographical
mapping of the
co-author network
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!
Same Application for the NIH
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
Optimize Workflows
(e.g. Avoid interruptions
caused by knowledge search,
retrieval, and application)
Distribute
Expert Knowledge
(across multiple locations,
time zones, medical
conditions)
Guide Workflows
(e.g. Care Plans, Expert-
Task Context Allocation)
Help Asklepios to know
“what Asklepios knows”
Stimulate new
Knowledge Acquisition Usage
Models
Why Knowledge
Management?
• 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)
Use Case 1 – Expert
profiles
Asklepios Research
Profiles
Expert Profile of Prof.
Grifka
Make Internal Expertise
available!
Provide a single point of search
for all relevant content from
publishers!
Link internal expertise /
experience and external
knowledge sources!
• 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?
Use Case 4 - External Resources and
Internal Experience Use Case 4 - External
Resources and Internal Experience
Search - Cisplatin shows
the relevant publications
from Springer, Elsevier,
Thieme, OVID and other
publishers
Asklepios Intelligent
Digital Library
Opening an journal article…
…shows immediately similar
publications colleagues
… and the names
and expert profiles
Link External Knowledge and
Internal Expertise
Key Issues in STM IndustryPublishers / 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)
The Challenge for STM PublishersReceive 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
Key Benefits Reviewer FinderFingerprint of manuscript - Clarity
Determine the best reviewer
Free of conflicts
More efficient and effective process
Ultimately increases profitability
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.
www.collexis.com
Thank you for your attention!
Darrell W. Gunter
[email protected], cell +1-973-454-3475
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