skip to main content
10.1145/3209281.3209355acmotherconferencesArticle/Chapter ViewAbstractPublication Pagesdg-oConference Proceedingsconference-collections
research-article

Data on the web management system: a reference model

Published:30 May 2018Publication History

ABSTRACT

The significant amount of data available on the Web has created new challenges for both those who want to publish and share data on the Web as well as those who wish to use such data. Over the years, several solutions have been developed aiming the publishing and sharing of data on the Web. However, existing solutions are mainly focused on how to offer data access. Moreover, other tasks should also be considered, such as the data creation and the data maintenance. In this context, the primary goal of this work is to propose a reference model for a Data on The Web Management System (DWMS). The proposed model offers a collection of services to help data sharing on the Web. In general, such services aim to facilitate the definition, creation, maintenance, manipulation, and sharing of datasets on the Web across multiple users and applications. It is important to note that the proposal of our model was guided by a set of Data on the Web Best Practices proposed by the W3C.

References

  1. Len Bass, Paul Clements, and Rick Kazman. Software Architecture in Practice. Addison-Wesley Professional, third edition, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Tim Berners-Lee. Linked data. https://www.w3.org/DesignIssues/LinkedData.html, 2006. Accessed in 10-January-2018.Google ScholarGoogle Scholar
  3. Christian Bizer, Tom Heath, and Tim Berners-Lee. Linked data-the story so far. International journal on semantic web and information systems, 5(3):1--22, 2009.Google ScholarGoogle Scholar
  4. Kristina Chodorow. MongoDB: the definitive guide. "O'Reilly Media, Inc.", 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Oxford Dictionary. Version definition. https://en.oxforddictionaries.com/definition/version, 2017. Accessed in 10-January-2018.Google ScholarGoogle Scholar
  6. Daniel Dietrich, Jonathan Gray, Tim McNamara, Antti Poikola, Rufus Pollock, Julian Tait, and Ton Zijlstra. Open data handbook. http://opendatahandbook.org/guide/en/, 2009. Accessed in 10-January-2018.Google ScholarGoogle Scholar
  7. Ramez Elmasri and Shamkant Navathe. Fundamentals of Database Systems. Addison-Wesley Publishing Company, USA, 6th edition, 2010. ISBN 0136086209, 9780136086208. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Ian Jacobs and Norman Walsh. Architecture of the world wide web. https://www.w3.org/TR/webarch/, 2004. Accessed in 10-January-2018.Google ScholarGoogle Scholar
  9. Madhuri A Jadhav, Balkrishna R Sawant, and Anushree Deshmukh. Single page application using angularjs. International Journal of Computer Science and Information Technologies, 6(3):2876--2879, 2015.Google ScholarGoogle Scholar
  10. Marijn Janssen, Yannis Charalabidis, and Anneke Zuiderwijk. Benefits, adoption barriers and myths of open data and open government. Information systems management, 29(4):258--268, 2012.Google ScholarGoogle Scholar
  11. Bernadette Farias Lóscio, C Burle, and N Calegari. Data on the Web Best Practices. W3C Recommendation, World Wide Web Consortium (W3C), December 2016. https://www.w3.org/TR/dwbp/.Google ScholarGoogle Scholar
  12. Bernadette Farias Lóscio, C Burle, and N Calegari. Data on the web best practices: Challenges and benefits. In Open Data Reserach Symposium (ODRS 2016), Oct 2016.Google ScholarGoogle Scholar
  13. Fadi Maali, John Erickson, and Phil Archer. Data catalog vocabulary (DCAT). W3C recommendation, The World Wide Web Consortium, 2014. Accessed in 10-January-2018.Google ScholarGoogle Scholar
  14. Lairson Alencar Oliveira, Marcelo Iury S. Oliveira, and Bernadette Farias Lóscio. In 33rd Brazilian Simposyum on Databases. Brazilian Computing Society, Oct 2017.Google ScholarGoogle Scholar
  15. Marcelo Iury S. Oliveira, Helio Rodrigues de Oliveira, Lairson Alencar Oliveira, and Bernadette Farias Lóscio. Open government data portals analysis: The brazilian case. In Proceedings of the 17th International Digital Government Research Conference on Digital Government Research, dg.o '16, pages 415--424, New York, NY, USA, 2016. ACM. ISBN 978-1-4503-4339-8. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Marcelo Iury S. Oliveira, Lairson Alencar Oliveira, Glória Fátima Barros Lima, and Bernadette Farias Lóscio. Enabling a unified view of open data catalogs. In 18th International Conference on Enterprise Information Systems (ICEIS), 2016. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Dhanji R. Prasanna. Dependency Injection. Manning Publications Co., Greenwich, CT, USA, 1st edition, 2009. ISBN 193398855X, 9781933988559. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Paul Reed. Reference architecture: The best of best practices. https://www.ibm.com/developerworks/rational/library /2774.html, 2002. URL https://www.ibm.com/developerworks/rational/library/2774.html. Accessed in 10-January-2018.Google ScholarGoogle Scholar
  19. Jürgen Umbrich, Sebastian Neumaier, and Axel Polleres. Quality assessment and evolution of open data portals. In Proceedings of the 2015 3rd International Conference on Future Internet of Things and Cloud, FICLOUD '15, pages 404--411, Washington, DC, USA, 2015. IEEE Computer Society. ISBN 978-1-4673-8103-1. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Anneke Zuiderwijk, Marijn Janssen, Sunil Choenni, Ronald Meijer, and Roexsana Sheikh Alibaks. Socio-technical impediments of open data. Electronic Journal of e-Government, 10(2), 2012.Google ScholarGoogle Scholar

Index Terms

  1. Data on the web management system: a reference model

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            cover image ACM Other conferences
            dg.o '18: Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age
            May 2018
            889 pages
            ISBN:9781450365260
            DOI:10.1145/3209281

            Copyright © 2018 ACM

            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 30 May 2018

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • research-article

            Acceptance Rates

            Overall Acceptance Rate150of271submissions,55%

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader