Skip to main content

Different Approaches to Build Brief Ontologies

  • Conference paper
  • 1146 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 348))

Abstract

This paper introduces the problem of building brief ontologies in order to use only a relevant portion of an ontology. It describes the procedure of generation that preserves partially the original taxonomy. Therefore, concepts definitions, ranges and properties domains are processed in order to be generalized. The paper also presents a methodology consisting of seven steps to build a brief ontology. This method is applied to an ontology for environmental assessment in order to build a specific brief ontology for floods.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aho, A.V., Ullman, J.D., Hopcroft, J.E.: Data Structures and Algorithms. Addison Wesley (1983)

    Google Scholar 

  2. Baader, F., Calvanese, D., McGuiness, D., Nardi, D., Patel- Schneider, P.: The Description Logic Handbook: Theory, Implementation and Applications. Cambridge University Press (2003)

    Google Scholar 

  3. Bizer, C., Seaborne, A.: D2rq - Treating Non-rdf Databases as Virtual Rdf Graphs (poster). In: The Semantic Web-ISWC (2004)

    Google Scholar 

  4. De Wrachien, D., Mambretti, S., Schultz, B.: Flood Management and Risk Assessment in Flood-prone Areas: Measures and Solutions. Irrigation and Drainage 60(2), 229–240 (2011)

    Article  Google Scholar 

  5. Delgado, M., Pérez-Pérez, R., Requena, I.: Knowledge Mobilization Through Re-Addressable Ontologies. In: EUSFLAT Conf., pp. 154–158 (2005)

    Google Scholar 

  6. Directive 2007/60/CE of the European Parliament and of the Council on the Assessment and Management of Flood Risks (OJ L 288, 6.11.2007, p. 2734) (2007)

    Google Scholar 

  7. Fernández, M., Gómez, A., Pazos, J., Pazos, A.: Ontology of tasks and methods. IEEE Intelligent Systems and Their Applications 14(1), 37–46 (1999)

    Article  Google Scholar 

  8. Garrido, J., Requena, I.: Knowledge mobilization to Support Environmental Impact Assessment. A Model and an Application. In: International Conference on Knowledge Engineering and Ontology Development, KEOD, pp. 193–199 (2010)

    Google Scholar 

  9. Garrido, J., Requena, I.: Proposal of Ontology for Environmental Impact Assessment. An Application with Knowledge Mobilization. Expert System with Applications 38(3), 2462–2472 (2011)

    Article  Google Scholar 

  10. Garrido, J., Requena, I.: Towards Summarising Knowledge: Brief Ontologies. Expert System with Applications 39, 3213–3222 (2012)

    Article  Google Scholar 

  11. Gu, H., Perl, Y., Geller, J., Halper, M., Singh, M.: A Methodology for Partitioning a Vocabulary Hierarchy into Trees. Artifcial Intelligence in Medicine 15(1), 77–98 (1999)

    Article  Google Scholar 

  12. Kim, J., Caralt, J., Hilliard, J.: Pruning Bio-Ontologies. In: International Conference on System Sciences, Hawaii (2007)

    Google Scholar 

  13. Noy, N.F., Musen, M.A.: Traversing Ontologies to Extract Views. In: Stuckenschmidt, H., Parent, C., Spaccapietra, S. (eds.) Modular Ontologies. LNCS, vol. 5445, pp. 245–260. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  14. Staab, S., Studer, R.: Handbook on Ontologies (International Handbooks on Information Systems). Springer (2009)

    Google Scholar 

  15. Stuckenschmidt, H., Schlicht, A.: Structure-Based Partitioning of Large Ontologies. In: Stuckenschmidt, H., Parent, C., Spaccapietra, S. (eds.) Modular Ontologies. LNCS, vol. 5445, pp. 187–210. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Garrido, J., Mambretti, S., Requena, I. (2013). Different Approaches to Build Brief Ontologies. In: Fred, A., Dietz, J.L.G., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2011. Communications in Computer and Information Science, vol 348. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37186-8_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-37186-8_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37185-1

  • Online ISBN: 978-3-642-37186-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics