Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Managing Quality of Large Set of Conceptual Schemas in Public Administration: Methods and Experiences

  • Conference paper
Model and Data Engineering (MEDI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7602))

Included in the following conference series:

Abstract

Information growth asks Public Administrations for an effective control over their information asset. Furthermore, having a global representation of the core concepts of such an asset implies to manage large set of conceptual schemas. At the state of the art, the use of repositories of conceptual schemas aims to provide a structured, global and scalable representation of the core concepts managed in complex large scale information systems. In this paper we discuss several quality properties of repositories, analyzing them within a real, large scale experience.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 72.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Andersen, K.V., Henriksen, H.Z.: E-government maturity models: Extension of the Layne and Lee model. Government Information Quarterly 23, 236–248 (2006)

    Article  Google Scholar 

  2. Tan, B., Leong, C., Hackney, R.: Achieving and Enhancing E-government Integra-tion: Lessons from the Land Data Hub Project of the Singapore Land Authority. In: ICIS 2011 Proceedings (2011)

    Google Scholar 

  3. Lam, W.: Barriers to e-government integration. Journal of Enterprise Information Management 18(5), 511–530 (2005)

    Article  Google Scholar 

  4. Picazo-Vela, S., Gutiérrez-Martinez, I., Luna-Reyes, L.F.: Social media in the public sector: perceived benefits, costs and strategic alternatives. In: Proceedings of the 12th Annual International Digital Government Research Conference (dg.o 2011), pp. 198–203 (2011)

    Google Scholar 

  5. Batini, C., Di Battista, G., Santucci, G.: Structuring primitives for a dictionary of entity relationship data schemas. Software Engineering. IEEE Transactions on Software Engineering 19, 344–365 (1993)

    Article  Google Scholar 

  6. Batini, C., Barone, D., Garasi, M.F., Viscusi, G.: Design and Use of ER Repositories: Methodologies and Experiences in eGovernment Initiatives. In: Embley, D.W., Olivé, A., Ram, S. (eds.) ER 2006. LNCS, vol. 4215, pp. 399–412. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  7. Batini, C., Scannapieco, M.: Data Quality: Concepts, Methodologies and Techniques. Springer, Heidelberg (2006)

    MATH  Google Scholar 

  8. Duchateau, F., Bellahsene, Z.: Measuring the Quality of an Integrated Schema. In: Parsons, J., Saeki, M., Shoval, P., Woo, C., Wand, Y. (eds.) ER 2010. LNCS, vol. 6412, pp. 261–273. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  9. Akoka, J., Comyn-Wattiau, I.: Entity-relationship and object-oriented model auto-matic clustering. Data & Knowledge Engineering 20, 87–117 (1996)

    Article  Google Scholar 

  10. Shoval, P., Danoch, R., Balabam, M.: Hierarchical entity-relationship diagrams: the model, method of creation and experimental evaluation. Requirements Engineering 9, 217–228 (2004)

    Article  Google Scholar 

  11. Castano, S., De Antonellis, V.D., Fugini, M.G., Pernici, B.: Conceptual schema analysis: techniques and applications. ACM Trans. Database Syst. 23, 286–333 (1998)

    Article  Google Scholar 

  12. Campbell, L.J., Halpin, T.A., Proper, H.A.: Conceptual schemas with abstractions making flat conceptual schemas more comprehensible. Data & Knowledge Engineering 20, 39–85 (1996)

    Article  MATH  Google Scholar 

  13. Tavana, M., Joglekar, P., Redmond, M.A.: An automated entity-relationship clustering algorithm for conceptual database design. Information Systems 32, 773–792 (2007)

    Article  Google Scholar 

  14. Simperl, E., Sure, Y.: The Business View: Ontology Engineering Costs. In: Hepp, M., Leenheer, P., Moor, A., Sure, Y., Sheth, A. (eds.) Ontology Management, vol. 7, pp. 207–225. Springer, US (2008)

    Google Scholar 

  15. Moody, D.L.: Theoretical and practical issues in evaluating the quality of conceptual models: current state and future directions. Data & Knowledge Engineering 55, 243–276 (2005)

    Article  Google Scholar 

  16. Hepp, M.: Possible Ontologies: How Reality Constrains the Development of Relevant Ontologies. IEEE Internet Computing 11, 90–96 (2007)

    Article  Google Scholar 

  17. Christiaens, S., Leenheer, P., Moor, A., Meersman, R.: Ontologising Competencies in an Interorganisational Setting. In: Hepp, M., Leenheer, P., Moor, A., Sure, Y., Sheth, A. (eds.) Ontology Management, vol. 7, pp. 265–288. Springer, US (2008)

    Google Scholar 

  18. Keet, C.M.: Enhancing comprehension of ontologies and conceptual models through abstractions. In: AI*IA 2007: Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007 (2007)

    Google Scholar 

  19. Dahchour, M., Pirotte, A., Zimányi, E.: Generic Relationships in Information Modeling. In: Spaccapietra, S. (ed.) Journal on Data Semantics IV. LNCS, vol. 3730, pp. 1–34. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  20. Ambite, J.L., et al.: Simplifying data access: The energy data collection project. Computer 34(2), 47–54 (2001)

    Article  Google Scholar 

  21. Castano, S., De Antonellis, V.: Global viewing of heterogeneous data sources. IEEE Transactions on Knowledge and Data Engineering 13, 277–297 (2001), ST-Global viewing of heterogeneous data

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Batini, C., Comerio, M., Viscusi, G. (2012). Managing Quality of Large Set of Conceptual Schemas in Public Administration: Methods and Experiences. In: Abelló, A., Bellatreche, L., Benatallah, B. (eds) Model and Data Engineering. MEDI 2012. Lecture Notes in Computer Science, vol 7602. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33609-6_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33609-6_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33608-9

  • Online ISBN: 978-3-642-33609-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics