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Semantic Web Agents: Hope or Hype
Nicholas GibbinsSchool of Electronics and Computer ScienceUniversity of Southampton
The Cynic’s View
The Semantic Web and agent technologies are just old-fashioned artificial intelligence.
Artificial intelligence hasn’t delivered on its previous promises, so why should it now?
What is the Semantic Web?
The Semantic Web is an extension of the current Web in which information is given a well-defined meaning, better enabling computers and people to work in cooperation. It is the idea of having data on the Web defined and linked in a way that it can be used for more effective discovery, automation, integration and reuse across various applications. The Web can reach its full potential if it becomes a place where data can be processed by automated tools as well as people.
W3C Activity Statement
Example: Scientific American article
Tim Berners-Lee
James Hendler
Ora Lassila
The Semantic Web
Scientific American
vcard:fn
vcard:fn
vcard:fn
dc:title
dc:title
dc:creator
akt:publishedIn dc:creator
dc:creator
2001-05
dc:date
Relation and object types aredefined in a machine-understandableform – an ontology
The Semantic Web layer cake
XML + Namespaces
URI Unicode
Sig
natu
re
Encr
ypti
on
Rules
Proof
Trust
RDF
RDF Schema
OWL
Identity
Standard syntax
Metadata
Ontologies +Inference
Explanation
Attribution
SPARQL(queries)
User Interface and Applications
Semantic Webc. 2004
The Semantic Web Hype Cycle
TechnologyTrigger
Peak of InflatedExpectation
Trough ofDisillusionment
Slope ofEnlightenment
Plateau ofProductivity
Vis
ibili
ty
Maturity
Gartner
Which Semantic Web?
Semantic Web as the Annotated Web
∙ Enrich existing web pages with annotations∙ Classify web pages∙ Use natural language techniques to extract
information from web pages
∙ Annotations enable enhanced browsing and searching
∙ (but NLP is hard)
Which Semantic Web?
Semantic Web as the Web of Data
∙ Expose existing databases in a common format∙ Express database schemas in a machine-
understandable form
∙ Common format allows the integration of data in unexpected ways
∙ Machine-understandable schemas allow reasoning about data
∙ (make the most of the structure you already have)
Rocket Science (not)
Is this rocket science? Well, not really. The Semantic Web, like the World Wide Web, is just taking well established ideas, and making them work interoperably over the Internet. This is done with standards, which is what the World Wide Web Consortium is all about. We are not inventing relational models for data, or query systems or rule-based systems. We are just webizing them. We are just allowing them to work together in a decentralized system - without a human having to custom handcraft every connection.
Tim Berners-Lee, Business Case for the Semantic Web, http://www.w3.org/DesignIssues/Business
e-Science and the Semantic Web
∙ e-Science characterised as:∙ Large-scale science∙ Distributed global collaborations∙ Very large data collections∙ Very large scale computing resources
∙ Data integration will be a major issue∙ Capture, publish, reuse data∙ Agreed vocabularies for data exchange
∙ Improving the information environment for chemists – both within and beyond the lab
∙ Supporting chemists in the preparation, execution, analysis and dissemination of their work
http://www.smarttea.org/
Data Capture: The Lab Notebook
1 1 2 2 1 3
Sample of 4-flourinatedbiphenyl
Add Reflux
Butanone Sample ofK2CO3Powder
Weigh
grammes0.9031
Measure
40 ml
Add
Weigh
2.0719 g
text
Butanone dried via silica column andmeasured into 100ml RB flask.
Used 1ml extra solvent to wash outcontainer.
Started reflux at 13.30. (Had tochange heater stirrer) Only reflux
for 45min, next step 14:15.
Add RefluxAdd
Dissolve 4-flourinatedbiphenyl inbutanone
Add K2CO3powder
Heat at refluxfor 1.5 hours
text
Annotate
Annotate
Ingredient List
Fluorinated biphenyl 0.9 gBr11OCB 1.59 gPotassium Carbonate 2.07 gButanone 40 ml
Publish and Reuse
http://ecrystals.chem.soton.ac.uk
Exchange Vocabularies
∙ BioPax Ontology (biological pathways)∙ Metabolic and signalling pathways, molecular
interactions
∙ Gene Ontology (genes and gene products)∙ Molecular function, cellular component,
biological process
∙ NCI Cancer Ontology∙ Diseases, drugs, anatomy, genes
(and many others from other disciplines)
What are Agents?
∙ Many definitions of agent∙ Mobile agents∙ Collaborative agents∙ Social agents∙ Interface agents
∙ Three broad perspectives:∙ Agents as design metaphor∙ Agents as technology source∙ Agents as simulation
Agent Based Computing
∙ Societies of components, owned by different organisations
∙ Components provide services to each other∙ Computing as a social activity
∙ Workflows and Planning∙ Coordination, Collaboration and Negotiation∙ Markets and auctions∙ Models of trust and reputation
∙ Managing the distributed processing of data
The Agent Hype Cycle
TechnologyTrigger
Peak of InflatedExpectation
Trough ofDisillusionment
Slope ofEnlightenment
Plateau ofProductivity
Vis
ibili
ty
Maturity
Agentsc. 1995
Agentsc. 2005
What’s different this time?
∙ First agent wave assumed that a special agent infrastructure was needed∙ Hindered integration with existing systems∙ Several high-profile failures in the
marketplace
∙ Second agent wave is building on existing technologies such as Web Services∙ Incremental approach that integrates
existing systems∙ Can be aligned with related work on Grid
Computing
Grid Computing
∙ e-Science applications typically have very high computational requirements
∙ Grid Computing provides an infrastructure for∙ Flexible, secure, coordinated resource sharing∙ Dynamic collections of individuals, institutions
and resources∙ Virtual organisations∙ Workflow management
∙ Social computing, in effect
http://www.combechem.org/
X-Raye-Lab
Analysis
Propertiese-Lab
SimulationVide
oD
iffra
ctom
et
er
Grid Middleware
StructuresDatabase
Properties
http://www.mygrid.org.uk
The Next Generation Grid
“The ongoing convergence between Grids, Web Services and the Semantic Web is a fundamental step towards the realisation of a common service-oriented architecture empowering people to create, provide, access and use a variety of intelligent services, anywhere, anytime, in a secure, cost-effective and trustworthy way.”
Next Generation Grids 2 Requirements and Options for
European Grids Research 2005-2010 and Beyond
EU Expert Group Report July 2004
The Semantic Grid
∙ Grid Computing + Semantic Web∙ Information and services are given a
well-defined meaning ∙ Uses SW technologies – OWL, RDF, etc∙ Ontologies for describing services
∙ Better enables computers and peopleto work in cooperation∙ Requires coordination and planning
capabilities found in agent technologies
Hope or Hype?
∙ Web Services and Grid Computing are already a reality
∙ The Semantic Web is being used in large-scale e-Science applications
∙ Agent technology is approaching maturity, and offers management of rich patterns of interaction in service-oriented systems
Thank you!