Application Pull Semantic Web Opportunities for Enterprises Contributors

advertisement
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
“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
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



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

Premises




Potential Semantic Services




Every resource meaningfully available
Current & Planned Web Services
Beneficiaries and Requirements
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 Semantic Web Services

Individual (service consumer)


Tax preparation and submission
Friends and Family CRM

Domains




Business (service producer)

Information Aggregators


Service Composition


News
Financial services
Business to Business

Supply chain


E-Procurement
Design collaboration




Entertainment
Health care
Manufacturing
Law enforcement
Education
Defense
Science
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
Information Required







Taxable deductible expenses



Taxes

Tax codes



Federal
State
Local





Monetary
Taxablity




Banks
Vendors
Charitable organizations
Accountants



Human
Automated, include. exception handling
Approve
Submit
Payments

Financial service providers
E-education
Talk to a tax expert

Commercial

Government
Obtain information
Compute
Review

Financial transactions

Continuous monitoring
Guidance and consulting

Family situation
Nationality
Past history



Employment
Investments
Sources of expense


Tax services

Sources of income



Tax payer


Transactions
Schedule
Validate
Review tax account
Tax-Related Services


Financial planning
Career planning
Tax Preparation
Collaboration

Who




Taxpayer
Tax preparer
Financial services
Tax advisors

Collaboration services



What if
Optimize
Exception handling
Supply Chain: Information

Stakeholders




Vendors
Purchasers
Aggregators
(Brokers)


/
Organizational








Name
Address
Services offered
Ratings
Credit history / rating
Products and Services





Costs
Transport
Schedule
Vendors
Purchasers
Aggregators / intermediaries
(Brokers)
Types of information

Business Processes






Ordering
Fulfillment
Repair
Manufacturing

Products (e.g., catalogue)
Inventory
Logistics


intermediaries
Types of information

Stakeholders
Machine schedule
Raw materials
Service Level Agreements


Existing
History
Supply Chain: Transactions

Continuous monitoring




Discovery


Business
process
monitoring
Dynamic optimization and
re-scheduling
Penalties
Service provider
Continuous
optimization
Negotiation




Selection


multi-party
Contract definition
Term negotiation
Continuous compliance
monitoring
Process Integration
Benefits / Requirements

Lowering barriers to entry


Costs
Entrants







Consumers
Service providers


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

Dynamic






Transparency
Timeliness
Accuracy
Optimization
Eliminate
tasks
mundane
Additional services
Reliability and trust
Archiving



Data
Meta-data
Transaction histories
Challenges

Upper ontologies

Entities






Ontology activities

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)








Search
Select
Create, refine
Maintain, version





Mapping
Ontology-based activities

Accountability




Local
Shared
Global
Arbitration
Trust
Tracing
Engineering


Managing ontologies and
mappings
Scalability, robustness,
Challenges


Loose coupling
Relaxed precision

Approximations



Queries
Schema mapping
Transactions
Download