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Semantic web for E-Government

Semantic web for E-Government. Lingling CUI. Motivation. E-Government. Content. Scientific and technical overview Relative works What semantic web brings to e-government How e-government deploy semantic technologies Example applications Future issues Reference. Tim Berners-Lee.

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Semantic web for E-Government

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  1. Semantic web for E-Government • Lingling CUI

  2. Motivation E-Government

  3. Content • Scientific and technical overview • Relative works • What semantic web brings to e-government • How e-government deploy semantic technologies • Example applications • Future issues • Reference

  4. Tim Berners-Lee Scientific and technical overview • Semantic web • “an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation.” • Two features: machine readable; ontology basis

  5. Scientific and technical overview • Ontology • In theory - specification of a conceptualization • In practical - a description of some domain knowledge. • Web service • Reusable computational resources

  6. Scientific and technical overview • Semantic web services • Semantic web technologies applied to web services. • Combine flexibility, reusability, and universal access of WSs with the power of semantic markup and reasoning • A promising infrastructure for next generation e-Government services • Addressing integration and interoperability

  7. Related works • EU-PUBLI.com project • Distributed, autonomous systems of each Public Administration can be brought together into a common cooperative environment 7

  8. Related works • eGOV project • put forward a kind of system infrastructure, and realize the objective of on-line one stop government

  9. Related works • “GovML” • based on XML and used for describing public services and life events.

  10. Post Office Hospital School What semantic web brings to e-government? userId: .. Name: .. Education:.. .. .. ..

  11. What semantic web brings to e-government? • Make search process more intelligent • Semantic web help to realize One-stop portals • Resource sharing between different agencies

  12. How semantic technologies deployed • Knowledge Modeling • Ontologies for describing concepts and services • knowledge retention and creation • Creating the infrastructure for semantic interoperability • knowledge use and transfer

  13. Example applications - FSSA • Indiana family and social services administration • serves families and individuals facing hardships associated with low income, disability, aging, and children at risk for healthy development. • Knowledge modeling - ontology • FSSA database are organized as distributed ontologies • FSSA application is wrapped with an e-service, and e-service space is organized into distributed ontologies.

  14. Example applications - FSSA • infrastructure for semantic interoperability - WebDG • Web Digital Government, A knowledge collaborative portal • querying databases • invoking FSSA applications • realize composing e-government services and optimization of querying e-government services

  15. Future issues • Challenge of privacy, data protection and authentication • Cannot standardize the method to markup informational resources

  16. Reference • M. J. Ralf Klischewski, "Semantic Web Technologies for Information Management," in System Sciences, 2004. • Available at: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=1265305&contentType=Conference+Publications • E. T. Gregory Kavadias, "GovML: A Markup Language for Describing Public Services and Life Events," 2003 • Available at: http://dl.acm.org/citation.cfm?id=1792066 • B. M. A. R. Athman Bouguettaya, "WebDG - A Platform for E-Government Web Services." 2004. • Available at: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.2184 • A. E. B. M. M. O. Athman Bouttaya, "Ontology-based Support for Digital Government”, 2001 • Available at: http://dl.acm.org/citation.cfm?id=672201 • McIver, Jr., William J. and Elmagarmid, Ahmed K, 2002 , “Advances in Digital Government: Technology, Human Factors, and Policy”. • Available at: http://www.springerlink.com/content/ur52336293500751/

  17. Reference • Love Eriksson, October 2008, “Semantic Web in relations to E-Government” • Available at: http://loveeriksson.com/portfolio/LoveErikssonPaperFinal.pdf • Asunción Gómez-Pérez and Oscar Corcho, Universidad Politécnica de Madrid, “Ontology Languages for the Semantic Web” • Avalible at : http://oa.upm.es/2646/1/JCR01.pdf • Mamadou Tadiou Koné, William McIver Jr., “Semantic Web in E-government” • Available at: http://www.irma-international.org/viewtitle/14083/ • Jesús Fernández Ruíz,“Semantic Web Use Cases and Case Studies Case Study: An Intelligent Search Engine for Online Services for Public”, Jan 2007 • Available at: http://www.w3.org/2001/sw/sweo/public/UseCases/Zaragoza/Zaragoza.pdf • Parsa Mirhaj, “Case Study: Semantic Web Technology for Public Health Situation Awareness”, School March 2007 • Available at: http://www.w3.org/2001/sw/sweo/public/UseCases/UniTexas/ • Ralf Klischewski “Semantic Web for e-Government” 2003 • Available at: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.7514

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