Application Pull Semantic Web Opportunities for Enterprises Contributors Michael Brodie, Verizon...
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Transcript of Application Pull Semantic Web Opportunities for Enterprises Contributors Michael Brodie, Verizon...
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
“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 ontologyWas famed for his sense of frivolityWhen his program inferredThat Clyde ISA BirdHe blamed -- not his code -- but zoology
"AI Limericks" by Henry Kautzhttp://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 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 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
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
Information Required Transactions
Tax Preparation
Who Taxpayer Tax preparer Financial services Tax advisors
Collaboration
Collaboration services What if Optimize Exception handling
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: 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
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
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 Loose coupling Relaxed precision
Approximations Queries Schema mapping Transactions