Transcript Step 1 - COLAB

Federal Enterprise - Semantic Future
Jarg Corporation Seeks Sponsors/Partners, Who: Identify Solutions To
Problems With Our Pilot (life science) Demonstrations of:
Effective Semantic Use of large Ontologies (UMLS)
Effective Achievement of Both Excellent Semantic Precision & Recall of Results
Effective High-scale & High Performance (Google-like) Database Architecture
Show Operational Life Science Applications - as Future Potential for:
FEA Search & Retrieval
Extraction From New Docs, “concepts” to match / append Agency
Official Meta Tags
Ideas for Semantic Domain Collaborations in:
Avian Flu Pandemic threats
Early detection of developing disaster recovery problems
Early detection of developing terrorist threats
Interoperability, Beyond METADATA
Jarg – SemanTx Life Science
Semantic Query Access
and SW Agent Alerts
Ontologies
Ontologies
Unique-Identifier
Combined Index
Ontologies
Top-Down Semantic Results
Your
Well-Articulated Need !
Ranked By
Fit-To Context
Quigo
(categorization)
Inxight, Fast
Domain
Ontology’s
Contextual
Meaning
Entity Extraction
Taxonomy
Syntactic
Directory
Autonomy
Verity, Convera, Endeca
iPhrase
Yahoo
Pattern Match
Cluster
MSN
Clearforest
Word Match/Key Words
Google
Bottom-Up Filtering
Search Today
Knowledge Representation Extracted
Both The Info Source and The Query
Development of an
Assay for Eukaryotic
Telomeric Recombination
Telomeres, the physical ends of
chromosomes, are essential for
maintaining chromosome stability
and structure. The mechanisms
that maintain the simple
sequences present at the telomere
within a discrete distribution is
poorly understood. One such
mechanisms, termed rapid
deletion events (RPD) has been
described in our laboratory to
occur frequently in Saccha-
development
eukaryotic
produces
assay
is_a
measures
test
telomeric
eukaryote
Is_a
property_of
recombination
telomere
location_of
Is_a
process
cell
chromosome
Ontology’s Query Expansion
Process Overview & Advantages
• Answers returned, ranked by contextual relevance (solves relevance and scalability issues)
• Allows for cross-disciplinary research to shorten drug discovery & clinical response cycles
Step 1: Enter query in plain English
Step 3: Review highlighted
contextual answer within document
Step 2: Proves match results
Filtering By Meaning
A Fresh, Scalable, High Performance Approach
• Sub-Ontology based semantic object-parsing
– Enables capture of context for the extraction of “understood features” from
within all forms of information to be “semantically represented” then
indexed in a common semantic (“fragment”) unique-identifier format
• Semantically-rich (complex queries) express the context of your need
– Return a “collage” of rich-media results
– Each result prioritized by its contextual fit to a user’s need
Thank you.
Links to resources:
www.jarg.com
www.semantxls.com
Boston Children’s Hospital “Smart Search”
www.cmch.tv
“Semantic PubMed” Massachusetts General Hospital
http://gw.jarg.com/jsp/index.jsp
Jarg Corporation/SemanTx Life Sciences
330 Bear Hill Road, Suite 230
Waltham, MA 02451 (USA)
781-890-1555
Attn: Michael P. Belanger, x206,
[email protected]