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Semantic Web Opportunities for Enterprises. Application Pull. 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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application pull

Semantic Web Opportunities for Enterprises

Application Pull

ContributorsMichael Brodie, Verizon Umshawar Dayal, Hewlett-Packard Frank Manola, Mitre Corp. Michael Uschold, Beoing Corp. Hans-Georg Stork, European Union Ramesh Jain, UCSD

ask not what the semantic web can do for you ask what you can do for the semantic web

“Ask not what the Semantic Web Can do for you, ask what you can do for the Semantic Web”

Hans-Georg Stork, European Union

ontological insight
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.washington.edu/homes/kautz/misc/limericks.html

questions
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
agenda
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
example employee services
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

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

Example Employee Services
example semantic web services
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

Domains

Entertainment

Health care

Manufacturing

Law enforcement

Education

Defense

Science

Example Semantic Web Services
semantic web scenarios
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
tax preparation
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

Vendors

Charitable organizations

Accountants

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

Financial planning

Career planning

Tax Preparation

Transactions

Information Required

tax preparation10
Who

Taxpayer

Tax preparer

Financial services

Tax advisors

Collaboration services

What if

Optimize

Exception handling

Tax Preparation

Collaboration

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

Supply Chain: Information
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

Supply Chain: Transactions
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

Benefits / Requirements
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,

Challenges
challenges15
Challenges
  • Loose coupling
  • Relaxed precision
    • Approximations
      • Queries
      • Schema mapping
      • Transactions
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