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Application Pull

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

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  1. 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

  2. “Ask not what the Semantic Web Can do for you, ask what you can do for the Semantic Web” Hans-Georg Stork, European Union

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. Who Taxpayer Tax preparer Financial services Tax advisors Collaboration services What if Optimize Exception handling Tax Preparation Collaboration

  11. 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

  12. 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

  13. 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

  14. 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

  15. Challenges • Loose coupling • Relaxed precision • Approximations • Queries • Schema mapping • Transactions

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