hawaii group chintan, arpan, sanjeev, sonal, vijaya ontodoc ®
TRANSCRIPT
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Hawaii Group
Chintan, Arpan, Sanjeev, Sonal,
Vijaya
OntoDoc ®
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Outline
Current Web Metadata over Web Semantics over Web Killer SW App : OntoDoc Work and Research Outcomes LIVE DEMO !!
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Existing Web
URI, HTML, HTTPStaticWWW
500 million usermore than 3 billion pages
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Web Philosophy 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
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But…
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 ???
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Web Metadata : Solution ?
metadata = “Data about Data” helps to impose order on chaosExamples: a library catalogue contains information
(metadata) about publications (data) a file system maintains permissions
(metadata) about files (data)
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Where Metadata fits over Webresourcediscovery
documentadministration
rightsmanagement
contentrating
security andauthentication
archivalstatus
products andservices
databaseschemas
process controlor description
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Claim : Metadata can exist about anything
People Places Objects Concepts Documents Archives Databases
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Metadata Standards ?
MICI
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Adding Intelligence ?
Metadata standards make Web less chaotic but not “Smart”
Smartness : Machine performing tasks. Add Machine Interpretable Semantics over
Metadata
WEB (HTTP, URI)
Metadata
Semantics
TCP/IP Stack
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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 f-stop 4.5-5.6
Ramu is Confused !!!
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…(contd) Semantics
How about Ramu discovering following information
SLR <subclassof> Camera
Focal-length <equivalentProperty> size
F-stop <equivalentProperty> aperture
Big Smile on Ramu’s Face
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The Semantic Web
URI, HTML, HTTP
WWW
Serious Problems in information•finding
•extracting•representing•interpreting
•and maintaining
RDF, RDF(S), OWLSemantic Web
Static
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The Summer of 2003 !!! : Goals
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
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OntoDoc® : A Collaborative Web portal for Life Sciences Researchers
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
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… contd OntoDoc® marketing
Smart Collaboration !! Use Knowledgebase on backend (rather than
conventional Database) Discover and Prompt users with “Connections™”
Other Researchers Interesting Publications Related News
Ubiquitous Access !!! Firewalls No Problem, Platform No Problem.
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OntoDoc® Design RoadMap
OntoDoc® Collaborative Ontology Requirements Draft Ver 1.0 Released : July 24, 2003
Survey and Features Draft Ver 1.0 Released : July 27, 2003
Implementation and Design Draft Ver 1.0 Released : Aug 1, 2003
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Abstracting The Collaborative Process
Collaboration (Information X)
Give Take
Add Modify Discover Already Known
Existing New
Supply Pointer
Recirculation
Endorse(Weight)
Negate(Weight)
Agree Disagree
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OntoDoc ® Implementation
Visualization Connections TouchGraph Graphical Interface
Discussion Tools .NET based Discussion Forum Mailman mailing list
OntoShip: Jena based tool to parse DAML files and plug graph in TouchGraph
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OntoDoc® Web Portal !
Conventional Collaborative Tools
The Connections™
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OutComes
Deliverables Drafts
RequirementsSurvey and Features Implementation Draft
OntoShip : Knowledge Visualization Tool Primitive Web Portal
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OntoDoc® From here … 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
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Assessments : Lessons Learnt
Tackling conflicting demands 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 !!
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WHY JOIN UDIC-SEMANTIC WEB GROUP ?
1. Its Cool2. Group is planning to Commercialize OntoDoc® and go to Hawaii picnic from profit money
Questions ?
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OntoDoc® DEMO
Anyone interested in buying ?