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.

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.

Second Key take-away Point

How many different terms from how many different fields can mean

the same “concept” ?

Located at Children’s Hospital Boston

Just One Professional Field

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.

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”

Currently a few thousand media-related research abstracts are being searched

“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

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

Understands - as a “Graph”

“Why” This Ranking!

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?

“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)

Google

MSN

Verity, Convera, Endeca

iPhrase

Yahoo

Inxight, Fast

Autonomy

Search Today

Top-Down Semantic Results ordered by best fit-to-context

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/

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

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!”

http://gw.jarg.com/jsp/index.jsp

Jarg Corporation’s Semantic Life Sciences Division’s Semantic PubMed site

“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?

Click - to MedLine

Your query “abstracted” as a graph

Mass General Lab’s Paper

Many Joins

Mass General Missing

Only 2 Joins

Term Synonym

Found Mass GeneralLost the others

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

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

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

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: mpbelanger@semantxls.com Thank you

Your Semantic Indexing & Search Collaborator