second presentation urls to open (and minimize): michael belanger, cofounder, jarg corporation
TRANSCRIPT
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Second Presentation
URLS to OPEN (and minimize):
http://www.cmch.tv/research/
http://gw.jarg.com/jsp/index.jsp
Michael Belanger, Cofounder, Jarg Corporation and it’sSemanTx Life Sciences div.
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First Key take-away Point
Bioinformatics and life sciences areas are ahead in implementation of semantic standards and technologies.
The Federal Semantic Enterprise Implementation as well as other fields can now benefit from that ontology-based computing investment and experience.
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Second Key take-away Point
How many different terms from how many different fields can mean
the same “concept” ?
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Located at Children’s Hospital Boston
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Just One Professional Field
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The CMCH SemanTx ontology mediates the disparate vocabulary of 10 professional fields that media research is occurring in: medicine, psychology,education, anthropology, public health, communication, criminology, gender studies, social work sociology.
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Third Key take-away Point
Using the Semantic Knowledge Indexing Platform (SKIP) there is no limitation as to how many different terms, XML tags, Jargon or other metadata from different fields that can be
expressed to mean the same “concept”
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Currently a few thousand media-related research abstracts are being searched
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“SemanTx” Abstraction
developmentdevelopment
testtest
producesproduces
is_ais_ameasuresmeasures
eukaryoticeukaryotic
telomerictelomeric eukaryoteeukaryote
recombinationrecombination telomeretelomere cellcell
chromosomechromosomeprocessprocess
Is_aIs_a
Is_aIs_a
property_ofproperty_of
location_oflocation_of
Telomeres, the physical ends of Telomeres, the physical ends of
chromosomes, are essential for chromosomes, are essential for
maintaining chromosome stability maintaining chromosome stability
and structure. The mechanisms and structure. The mechanisms
that maintain the simple that maintain the simple
sequences present at the sequences present at the
telomere within a discrete telomere within a discrete
distribution is poorly understood. distribution is poorly understood.
One such mechanisms, termed One such mechanisms, termed
rapid deletion events (RPD) has rapid deletion events (RPD) has
been described in our laboratory been described in our laboratory
to occur frequently in Saccha-to occur frequently in Saccha-
Development of an Assay for Eukaryotic Telomeric Recombination
assayassay
From Both The Info Source and The Query
Ontology’s Query ExpansionFrom “Institutional” Knowledge
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Step 3: Review highlighted
contextual answer within document
Step 1: Enter query in plain English
Step 2: Proves match results
Process Overview & Advantages• Answers returned, ranked by contextual relevance
• Allows for cross-disciplinary research to shorten discovery & response cycles
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Understands - as a “Graph”
“Why” This Ranking!
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Forth Key take-away Point
Returns have been context-matched and then ordered by how well the meaning within sourcesmatches the meaning expressed in your query
The more context you articulate in your query,the more precision in your results
Why is this better and different from other search architectures?
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“SKIP” Serves-UpWell-Articulated
results ! DomainOntology’s Contextual Meaning
Cluster
Pattern Match
Syntactic
Taxonomy
Entity Extraction
Word Match/Key Words
Directory
Ranked By Fit-To
Context
Bottom-Up Filtering
ClearforestQuigo (categorization)
MSN
Verity, Convera, Endeca
iPhrase
Yahoo
Inxight, Fast
Autonomy
Search Today
Top-Down Semantic Results ordered by best fit-to-context
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Boston Children’s Hospital CMCH – SemanTx “Smart Search”
More Contextual Query Ideas for you to try:
Should reading and television together be encouraged? Do video games affect children's learning abilities? What is the impact of the media on adolescent sexual attitudes and behaviors? Does TV cause ADHD? Do language tapes help children talk? Can parents prevent children from experiencing unwanted effects of violent television programs? Does watching TV lead to obesity?
“Articulate” Your Own Context-Filled Queries at:
http://www.cmch.tv/research/
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E-Government “controlled” Metadata Tagging mandates?
Need to append “official” cross-government meta-tags to all your e-mails and documents?
Problem Solved - (Children’s Hospital Boston)
Semantic “Abstractions” of Content Overcomes Social Issues
********************************** Rapid Employee Turnover ?Critical Employees Retiring ?High Value Consultants Gone ?
Scalable Pilot InstallationBio-medical-environmental related department < $25k
An Example of: Immediate “Learning Curve” Transfer
X
X
X
X
X
X
E-G Dpt
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Addressing items 2 & 3 for today:
Brand Niemann did “try us” and typed-in the SICoP “challenge query’ into Jarg Corporation’s Semantic Life Sciences Division’s Semantic PubMed site: http://gw.jarg.com/jsp/index.jsp
and saw relevant results.
“Essentially, you have come the closest to meeting the semantic query challenge we featured in the SICoP Module 1 White Paper!”
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http://gw.jarg.com/jsp/index.jsp
Jarg Corporation’s Semantic Life Sciences Division’s Semantic PubMed site
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“Articulate” your need with lots of Context
There is no limit to the number of indexed databases - no performance penalties with SKIP
Need to searching millions of data files?
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Click - to MedLine
Your query “abstracted” as a graph
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Mass General Lab’s Paper
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Many Joins
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Mass General Missing
Only 2 Joins
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Term Synonym
Found Mass GeneralLost the others
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From All Ontology-Parsed Object Types – SKIP Enables
Effective Achievement of Both:
Excellent Semantic Precision &
Excellent Semantic Recall
Due to “fit-to-context” Search Results
Fifth Key take-away Points
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Filtering Objects By Their Content’s 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 SKIP’s common semantic (“fragment”) 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 expressed query
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Core BaseSearch & Retrieval
High Performance Knowledge Interoperability
Semantic Queries and SW Agent Alerts
Dynamic Situation-Awareness, SW Agent-
based Alerts
Unified “Content Awareness” Across The Federal Enterprise
Multimedia’s “Native Content”& Geospatial Search
Semantic Knowledge Indexing Platform (SKIP)
Unique-Identifier Combined Index
Ontologies
Ontologies
Ontologies
YourPortal
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SemanTx Life Sciences Seeks Semantic Search Collaborative / Licensing Partners
Effective Semantic Use of large Ontologies (UMLS)Effective Achievement of Both Excellent Semantic Precision & Semantic Recall
of Search ResultsEffective High-scale & High Performance (Google-like) Search Architecture
Life Science Applications - as “Operational” Examples for Fast Adoption for: • FEA Semantic Interoperable Search & Retrieval Platform• Concept and Word, non-intrusive, “Abstraction From” New
e-Mail/Docs, to match / “check-off-Append” of “Official” Cross-FEA Meta Tags
Communities of Interest – rapid deployment - Collaborations in: • Avian Flu Pandemic or Environmental Toxin threats • Early detection of developing medical disaster recovery problems • Early detection of developing bio/medical terrorist threats
Contact: [email protected] Thank you
Your Semantic Indexing & Search Collaborator