BCIG SPEAKER EVENT: “Federated
Search – a cure, a band aid, or salt in the wound?”
- view the seminar archive
Clinical
Center (Building 10) Medical Board Room (Room 2C116)
DESCRIPTION: Software applications help us create, manipulate, and
analyze our data. Each tool has its own functions, strengths and weaknesses. We
require multiple tools to do our daily work, and each tool has its own data and
storage format. With multiple applications and a variety of data storage
locations and styles, how do we know the results of our analyses are complete
and accurate? What do you do when the information you need lies in multiple
repositories? How can you bring this information together, when you need it, as
you need it, and resolve all discrepancies or inconsistencies to arrive at the
most informed answer? Federated Search suggests a promising approach to the
problem, but what lies beneath? What does it take, and what are you missing? To
federate or not, that is the question. This presentation will cover some of the
questions to ask when it comes to Federated Search.
Dinner after the lecture: You are cordially invited to a self-hosted (this
means you pay for what you order) dinner with Dr. Julie Hartigan. We will start
gathering for the dinner around 5:30 p.m. (more or less) in a back room (it is
called the “Patio Room”) at Guapo’s Tex-Mex Restaurant at 8130 Wisconsin Avenue
in Bethesda. R.S.V.P.’ s are not required. Just come and bring guests if you’d
like. We will be “the NIH Party!”
Guapo’s Phone Number: 301-656-0888,
Directions:
http://local.yahoo.com/details?id=12489717
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3:00 - 4:30 pm March 8, 2007
Julie Hartigan, Ph.D.,
CTO Teradata, a division of NCR
Dr. Hartigan is currently employed by Teradata, Inc as the CTO for the
Government Systems Group. She is involved in providing technical guidance and
solutions to employees, negotiating project functionality, scope and timeframes
with customers. She has a talent for listening to the customer and the market
while keeping an eye on technological advancements to help determine and predict
future direction and growth while effectively utilizing resources to maximize
revenue while increasing customer satisfaction. Prior to her work in the
structured world of Enterprise Data Warehouses, she worked for Autonomy, Content
Analyst and TASC, where she concentrated her efforts on the unstructured text
problem. Dr. Hartigan earned a Ph.D. in Computer and Information Science, from
the Ohio State University, Columbus, Ohio. Her dissertation is entitled:
"Semantic and Pragmatic Parsing based on Systemic Grammar and Layered
Abduction." Her graduate Studies and research focused on the areas of artificial
intelligence, computational linguistics, computer architectures, and language
acquisition.
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