Transcript OntoDoc: A Collaborative Platform for Life Sciences Researchers

OntoDoc ®
Hawaii Group
Chintan, Arpan,
Sanjeev, Sonal, Vijaya
Outline
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Current Web
Metadata over Web
Semantics over Web
Killer SW App : OntoDoc
Work and Research Outcomes
LIVE DEMO !!
Existing Web
500 million user
more than 3 billion pages
WWW
Static
URI, HTML, HTTP
Web Philosophy
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The World Wide Web is a big and impressive success
story, both in terms
 of the amount of available information and
 the growth rate of human users
Penetrates most areas of our daily life and business.
This success is based on its simplicity
The restrictiveness of HTTP and HTML allowed
software developers, information providers and users to
make easy access of the new media helping it to reach a
critical mass
But…
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However this simplicity may hamper the
further development of the Web
What we see currently is the very first version
of the web and the next version will probably
even more bigger and much powerful
compared to what we have now.
Chaos ???
Web Metadata : Solution ?
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metadata = “Data about Data”
helps to impose order on chaos
Examples:
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a library catalogue contains information
(metadata) about publications (data)
a file system maintains permissions
(metadata) about files (data)
Where Metadata fits over Web
resource
discovery
document
administration
rights
management
content
rating
archival
status
products and
services
process control
or description
database
schemas
security and
authentication
Claim : Metadata can exist about anything
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People
Places
Objects
Concepts
Documents
Archives
Databases
Metadata Standards ?
MICI
Adding Intelligence ?
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Metadata standards make Web less chaotic
but not “Smart”
Smartness : Machine performing tasks.
Add Machine Interpretable Semantics over
Metadata
Semantics
Metadata
WEB (HTTP, URI)
TCP/IP Stack
Semantics ? For e.g.
Your PDA Agent (Ramu) is Searching for a Camera for your
trip to California !
Your preferences: Camera with 75mm-300mm zoom size
and aperture of 4.5-5.6
www.nikon.com has a camera with following specifications :
ModelT130 SLR with focal-length 75mm-300mm and fstop 4.5-5.6
Ramu is Confused !!!
…(contd) Semantics
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How about Ramu discovering following
information
SLR
<subclassof>
Camera
Focal-length <equivalentProperty> size
F-stop
<equivalentProperty> aperture
Big Smile on Ramu’s Face
The Semantic Web
Serious Problems in information
•finding
•extracting
•representing
•interpreting
•and maintaining
WWW
Static
URI, HTML, HTTP
Semantic Web
RDF, RDF(S), OWL
The Summer of 2003 !!! : Goals
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Conceive a real world Semantic Web based
application and implement it.
Use Semantic Web technologies to solve a
hard challenging problem.
End of the day someone should use the
application rather than just fill bytes on our
hard disks
Feasible within few months
OntoDoc® : A Collaborative Web
portal for Life Sciences Researchers
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Exponentially growing interdisciplinary areas
in Life Sciences
Need for smooth interdisciplinary
collaborative research across organizational
boundaries.
Provide Intuitive and easy interface for
collaborative tools on Web
… contd OntoDoc® marketing
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Smart Collaboration !!
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Use Knowledgebase on backend (rather than
conventional Database)
Discover and Prompt users with “Connections™”
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Other Researchers
Interesting Publications
Related News
Ubiquitous Access !!! Firewalls No Problem,
Platform No Problem.
OntoDoc® Design RoadMap
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OntoDoc® Collaborative Ontology
Requirements Draft
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Survey and Features Draft
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Ver 1.0 Released : July 24, 2003
Ver 1.0 Released : July 27, 2003
Implementation and Design Draft
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Ver 1.0 Released : Aug 1, 2003
Abstracting The Collaborative Process
Collaboration (Information X)
Give
Add
Existing
Supply
Pointer
Take
Modify
New
Discover
Recirculation
Already Known
Agree
Endorse
(Weight)
Disagree
Negate
(Weight)
OntoDoc ® Implementation
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Visualization Connections
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Discussion Tools
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TouchGraph Graphical Interface
.NET based Discussion Forum
Mailman mailing list
OntoShip: Jena based tool to parse DAML
files and plug graph in TouchGraph
OntoDoc® Web Portal !
The Connections™
Conventional
Collaborative Tools
OutComes
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Deliverables
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Drafts
 Requirements
 Survey and Features
 Implementation Draft
OntoShip : Knowledge Visualization Tool
Primitive Web Portal
OntoDoc® From here …
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Issues
 Privacy
 Acceptance in community
 Information Extraction Plugin
Implementation Challenges
 Incorporate immatured Semantic Web tools
 Platform issues
 Redland : the KB available only for *nix platforms
 Webportal : .NET based Windozz
Assessments : Lessons Learnt
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Tackling conflicting demands
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Acceptability vs Simplicity
Practical vs Research Value
Bridging Conceptualization and
Implementation
Working Collaboratively : Lots of useful
comments from UDIC members and Dr Lee.
TIME is valuable !!
WHY JOIN UDIC-SEMANTIC WEB
GROUP ?
1. Its Cool
2. Group is planning to Commercialize OntoDoc®
and go to Hawaii picnic from profit money
Questions ?
OntoDoc® DEMO
Anyone interested in buying ?