Download A Joint Endeavour of MIT CSAIL University of Southampton ECS

Tetherless World
Constellation
Jim Hendler
Who we are
Jim Hendler is a Professor at the University of Maryland and the
Director of the Joint Institute for Knowledge Discovery at the
University of Maryland. He has joint appointments in the
Department of Computer Science, the Institute for Advanced
Computer Studies and is an affiliate of the Institute for Systems
Research. He has authored about 200 technical papers in the areas
of artificial intelligence, Semantic Web, agent-based computing and
high performance processing. One of the inventors of the “Semantic
Web,” Hendler was the recipient of a 1995 Fulbright Foundation
Fellowship, is a former member of the US Air Force Science Advisory Board, and is a Fellow of
the American Association for Artificial Intelligence. He is also the former Chief Scientist of the
Information Systems Office at the US Defense Advanced Research Projects Agency (DARPA),
was awarded a US Air Force Exceptional Civilian Service Medal in 2002, and is a member of
the World Wide Web Consortium's Semantic Web Coordination Group. He is the Editor in
Chief of IEEE Intelligent Systems and is on the Board of Reviewing Editors for Science.
rpi
Who we are
Dr. Deborah McGuinness is the acting director and senior
research scientist at the Knowledge Systems, (KSL) Artificial
Intelligence Laboratory at Stanford University. She is a
leading expert in knowledge representation and reasoning
languages and systems and has worked in ontology creation
and evolution environments for over 20 years. Most
recently, Deborah is best known for her leadership role in
semantic web research, and for her work on explanation,
trust, and applications of semantic web technology,
particularly for scientific applications. Deborah is a leader in ontology-based tools
and applications. She also consulted to help VerticalNet design and build its
Ontobuilder/Ontoserver ontology evolution environment. She also provided technical
leadership for the Stanford project to help Cisco systems form its ontology evolution
plan for its meta data formation work.
http://www-ksl.stanford.edu/people/dlm/
Semantic Web

Key "next generation" evolution
of the Web

Languages at maturity
 RDF, RDFS, OWL all W3C
recommendations
 SPARQL in CR
 Support growing
 Major vendors playing (Adobe,
Oracle, …)
 Startups in Web 3.0 space
(Metaweb, RadarNetworks, …)
 Lots of open source tools
"Corporate Semantic Web", Gartner "hot pick" for 2006
Richer
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Embedded meta-data
Data harvesting & visualization
Enterprise data integration
Digital asset management
Semantic Web portals
Ontology editors (and other tools)
Semantic Web and
social networking
Significant Corporate Activity
Semantic (Web) technology companies starting & growing
 Siderean, SandPiper, SiberLogic, Ontology Works, Intellidimension, Intellisophic,
TopQuadrant, Data Grid, …
 Web 3.0 new buzzword: Metaweb, RadarNetworks, …
Bigger players buying in
 Adobe, Cisco, HP, IBM, Nokia, Oracle, Sun, Vodaphone… announcements/use in 20052006
 Gartner identifies Corporate Semantic Web as one of three "High impact" Web
technologies
 tools being announced: AllegroGraph, Altova, TopBraid, …
Government projects in and
 US, UK, EU, Japan, Korea, …
Life
across agencies
sciences/pharma an increasingly important market
 Health
Care and Life Sciences Interest Group at W3C
Many open source tools available
 Kowari, RDFLib, Jena, Sesame, Protégé, SWOOP, Onto(xxx), Wilbur, …
University should not be "competing" for
low hanging fruit - so what comes next?
Moving Beyond Semantic Web

The Web has been transformational


Largest human information construct
A "science" that takes the Web as a primary area of
interest

Understand what it is
 Engineer its future
 Semantic Web is an example
 Ensure its social benefit

This requires a new interdisciplinary effort

Computer Science
 Cognitive Science
 Social/Policy issues
Web Evolution
A "Systems" Science

The Web is so complex
it needs its own
Systems Science


Inspiration from new formal
models
Understanding of
"Scaling"

How does the "miracle"
happen
New Engineering

The Web needs new
engineering standards,
methods and tools

Access to data globally
 Decentralization for
resilience

Radical decentralization
made the Web work

How do we make that
happen in new and emerging
areas
New Social Models
 The
Web is
essentially social

And getting moreso
 Facebook,myspace
 Youtube, flickr
 The
Web has huge
impact on society
Information access and
use
 Privacy issues
 Information flow control
 (think DHS)

CS
Example: Policy Aware Web
(NSF ITR; Hendler, Berners-Lee, Weitzner; 2005)
Potentially disruptive social technology
Build, but also understand early…
What we need to understand
 The
features that make the web work
 The threats of fragmentation
 The macro from the micro
 How to incorporate semantics
 How to exploit statistics
 How to build services
 How to instill trust, resilience and
dependability
Constellation Goal

The pervasive, mobile and ubiquitous Web, requires:


Aka "Tetherless"
Understanding the Web as a network at all scales

From protocol to social network levels
 Non-browser access issues (above the IP level)

Policy Aware Computing


End to end semantic accountability
New methods for
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
Privacy protection
 Security needs
 Intellectual property rights (and wrongs)
Be a
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Center