Panel: OWL Leaves the Nest
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Transcript of Panel: OWL Leaves the Nest
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Panel: OWL Leaves the NestKnowledge Integration for Ubiquitous
Agents
Harry ChenImage Matters LLC
First International Symposium on Agents and the Semantic Web
2005 AAAI Fall Symposium Series
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The Million Dollar Question
• What non-web application do you think will be the first to be deployed by industry and government?
A knowledge integration application that uses SW languages to elevate the semantic meanings of the existing legacy data
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Why Knowledge Integration
• Large amount of business knowledge (i.e., terabytes of data) will be stored in digital format, and not all of which will share a common data representation or data store.
• Majority of legacy data lacks explicit semantics, which makes difficult to build smart applications
• Valuable knowledge sometimes can only be acquired by reasoning over the hidden relationships between distributed data
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Knowledge Integration in PerCom
• Building location-aware applications • Instead of building a complete geographical
model from the scratch, it will be more cost-effective to use SW languages to integrate legacy data from the existing data.
• Building smart sensor applications• Instead of re-programming all sensors to emit
data in a shared representation, it will be more cost-effective to use SW languages to map the existing representations into a shared semantic format.
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Questions
• Are RDF and OWL the right languages for knowledge integration? How likely will developers adopt these SW technologies?
• It’s difficult for RDF and OWL to encode and use certain kinds of common sense knowledge that is essential for building smart applications. How can we address these issues?
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Semantics is the Future
• Different technologies emerged in the recent months suggest the use of information semantics will play an important role in the future• Folksonomy: Yahoo! MyWeb,
Technoratic etc.• Google Base: the truth is still out
there…• RSS/Atom/FOAF: MIT piggy-bank• Commercial products: SemanticWork
2006, Oracle RDF database
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SW Technology for Everyone
• People believe SW technology is too complex for software developers. • I think not.
• The problem: we haven’t yet convinced people that SW technology can solve a real-world problem.• “If we build it, they will come.” – not likely.• “This thing will sell itself!” – don’t count on it.
• A solution: find a problem that SW technology can help solve, and do solve it well.
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Problems in the Existing Technology
• Provenance is not supported by RDF and OWL• Who said what
• It’s difficult to trace the pedigree of any inferred semantic web knowledge• Why do you believe Harry Chen is located in
Hyatt Regency Crystal City on 2005/11/04?
• It’s difficult to use RDF and OWL to encode and use certain common sense knowledge.• “Find me a nearby gas station”• “Is it faster for me to take subways or drive to
work?”
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KnowledgeSmartsTM
• KnowledgeSmartsTM is a middleware system that uses Semantic Web technology to enable knowledge integration• Help agents to dynamically query heterogeneous
data from multiple legacy data stores via unified RDF models
• Help agents to track the provenance of asserted and inferred RDF triples
• Provide extensible ontologies and built-in logical inference engines for spatial and temporal reasoning
• Provide an event-driven process execution engine for monitoring changes in the underlying data stores
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Summary
• Knowledge integration applications will be the first SW applications to be deployed by government and industry.
• Ubiquitous agents will greatly benefit from the realization of semantic knowledge integration – e.g., reuse and share existing legacy data
• People will adopt SW technology if we can show such technology can solve real-world problems• KnowledgeSmartsTM => knowledge integration
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Backup
• Will the use of SW languages drive a unified web-based design in the future mobile computing system?
• Will the impact of RDF and OWL on the systems and communication ultimately be great than the World Wide Web?