Hawaii Group Chintan, Arpan, Sanjeev, Sonal, Vijaya OntoDoc ®

Hawaii Group

Chintan, Arpan, Sanjeev, Sonal,

Vijaya

OntoDoc ®

Outline

Current Web Metadata over Web Semantics over Web Killer SW App : OntoDoc Work and Research Outcomes LIVE DEMO !!

Existing Web

URI, HTML, HTTPStaticWWW

500 million usermore than 3 billion pages

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

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 ???

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)

Where Metadata fits over Webresourcediscovery

documentadministration

rightsmanagement

contentrating

security andauthentication

archivalstatus

products andservices

databaseschemas

process controlor description

Claim : Metadata can exist about anything

People Places Objects Concepts Documents Archives Databases

Metadata Standards ?

MICI

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

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 !!!

…(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

The Semantic Web

URI, HTML, HTTP

WWW

Serious Problems in information•finding

•extracting•representing•interpreting

•and maintaining

RDF, RDF(S), OWLSemantic Web

Static

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

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

… 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.

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

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

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

OntoDoc® Web Portal !

Conventional Collaborative Tools

The Connections™

OutComes

Deliverables Drafts

RequirementsSurvey and Features Implementation Draft

OntoShip : Knowledge Visualization Tool Primitive Web Portal

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

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 !!

WHY JOIN UDIC-SEMANTIC WEB GROUP ?

1. Its Cool2. Group is planning to Commercialize OntoDoc® and go to Hawaii picnic from profit money

Questions ?

OntoDoc® DEMO

Anyone interested in buying ?