Application Pull

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Application Pull
Semantic Web Opportunities for Enterprises
Contributors Michael Brodie, Verizon
Umshawar Dayal, Hewlett-Packard Frank Manola,
Mitre Corp. Michael Uschold, Beoing Corp.
Hans-Georg Stork, European Union Ramesh Jain,
UCSD
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Ask not what the Semantic Web Can do for you,
ask what you can do for the Semantic Web
Hans-Georg Stork, European Union
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Ontological Insight
A hacker who studied ontology Was famed for his
sense of frivolity When his program inferred That
Clyde ISA Bird He blamed -- not his code -- but
zoology
"AI Limericks" by Henry Kautz http//www.cs.washin
gton.edu/homes/kautz/misc/limericks.html
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Questions

• What are the applications today and what value
  can the semantic web add to them? What is the
  contribution of the Semantic Web?
• Why is the Semantic Web required to provide these
  benefits?
• How will the semantic Web impact organizations
• Outsourcing Web Services
• Economy
• Organizational structure
• Work habits
• Need for governance
• Law
• Government

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Agenda

• Premises
• Every resource meaningfully available
• Current Planned Web Services
• Beneficiaries and Requirements
• Potential Semantic Services
• B2B, C2C, Intra-Enterprise
• Example Semantic Web Services
• Challenges / Questions / Concepts
• What the Semantic Web Will Look Like

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Example Employee Services

• Company information
• Organization charts
• Information on all employees and partners
• Every organization and many systems online
• Learn about policies
• News letter
• Corporate announcements, news, calendar
• Communications
• Instant messaging
• EWeb Voice Portal
• E-mail

• Digital CIO
• Enterprise Solutions Center
• IT Customer Portals
• Intranet Services
• Digital Worker
• EWeb.verizon.com
• Order office services telecom
• Arrange a meeting
• Purchasing
• Pay a vendor
• Arrange Travel
• Expense reimbursement
• HR capabilities
• Performance management
• Career management
• Benefits
• Training
• Donations to charity

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Example Semantic Web Services

• Domains
• Entertainment
• Health care
• Manufacturing
• Law enforcement
• Education
• Defense
• Science

• Individual (service consumer)
• Tax preparation and submission
• Friends and Family CRM
• Business (service producer)
• Information Aggregators
• News
• Service Composition
• Financial services
• Business to Business
• Supply chain
• E-Procurement
• Design collaboration

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Semantic Web Scenarios

• Scenarios
• Tax preparation (Individual)
• Supply Chain (B2B)
• Scientific Research
• Semantics will be added at three different levels
  in successive phases
• Information
• Transactions
• Collaborations

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Tax Preparation
Transactions
Information Required

• Tax services
• Continuous monitoring
• Guidance and consulting
• E-education
• Talk to a tax expert
• ? Commercial
• ? Government
• Obtain information
• Compute
• Review
• Human
• Automated, include. exception handling
• Approve
• Submit
• Payments
• Schedule
• Validate
• Review tax account
• Tax-Related Services

• Tax payer
• Sources of income
• Employment
• Investments
• Sources of expense
• Taxable deductible expenses
• Family situation
• Nationality
• Past history
• Taxes
• Tax codes
• Federal
• State
• Local
• Financial transactions
• Monetary
• Taxablity
• Financial service providers
• Banks

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Tax Preparation
Collaboration

• Who
• Taxpayer
• Tax preparer
• Financial services
• Tax advisors

• Collaboration services
• What if
• Optimize
• Exception handling

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Supply Chain Information

• Stakeholders
• Vendors
• Purchasers
• Aggregators / intermediaries (Brokers)
• Types of information
• Organizational
• Name
• Address
• Services offered
• Ratings
• Credit history / rating
• Products and Services
• Products (e.g., catalogue)
• Inventory
• Logistics
• Costs
• Transport
• Schedule

• Stakeholders
• Vendors
• Purchasers
• Aggregators / intermediaries (Brokers)
• Types of information
• Business Processes
• Ordering
• Fulfillment
• Repair
• Manufacturing
• Machine schedule
• Raw materials
• Service Level Agreements
• Existing
• History

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Supply Chain Transactions

• Continuous monitoring
• Business process monitoring
• Dynamic optimization and re-scheduling
• Penalties
• Discovery
• Service provider
• Selection
• Continuous multi-party optimization

• Negotiation
• Contract definition
• Term negotiation
• Continuous compliance monitoring
• Process Integration

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Benefits / Requirements

• Lowering barriers to entry
• Costs
• Entrants
• Consumers
• Service providers
• Dynamic
• Ability to adjust to rapidly changing
  circumstances
• Continuous
• Continuous activity (i.e., taxes, financial
  activity) monitoring
• Event Detection
• Do taxes anytime, anywhere
• X-Internet
• Executable
• Extended

• Improved
• Transparency
• Timeliness
• Accuracy
• Optimization
• Eliminate mundane tasks
• Additional services
• Reliability and trust
• Archiving
• Data
• Meta-data
• Transaction histories

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Challenges

• Upper ontologies
• Entities
• Personal
• Organizations
• Activities / Events
• Processes
• Ontologies
• Products
• Services
• Financial contracts
• Business objects
• Tax laws (all agencies)
• Financial activities
• Service providers
• Financial planning
• Supply chain processes
• Activities (to be monitored)

• Ontology activities
• Search
• Select
• Create, refine
• Maintain, version
• Local
• Shared
• Global
• Mapping
• Ontology-based activities
• Accountability
• Arbitration
• Trust
• Tracing
• Engineering
• Managing ontologies and mappings
• Scalability, robustness,

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Challenges

• Loose coupling
• Relaxed precision
• Approximations
• Queries
• Schema mapping
• Transactions