Skip to main content

The Management and Integration of Biomedical Knowledge: Application in the Health-e-Child Project (Position Paper)

  • Conference paper
Book cover On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops (OTM 2006)

Abstract

The Health-e-Child project aims to develop an integrated healthcare platform for European paediatrics. In order to achieve a comprehensive view of children’s health, a complex integration of biomedical data, information, and knowledge is necessary. Ontologies will be used to formally define this domain knowledge and will form the basis for the medical knowledge management system. This paper introduces an innovative methodology for the vertical integration of biomedical knowledge. This approach will be largely clinician-centered and will enable the definition of ontology fragments, connections between them (semantic bridges) and enriched ontology fragments (views). The strategy for the specification and capture of fragments, bridges and views is outlined with preliminary examples demonstrated in the collection of biomedical information from hospital databases, biomedical ontologies, and biomedical public databases.

An erratum to this chapter can be found at http://dx.doi.org/10.1007/11915072_109.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Freund, J., et al.: Health-e-Child: An Integrated Biomedical Platform for Grid-Based Pediatrics. Studies in Health Technology & Informatics 120, 259–270 (2006)

    Google Scholar 

  2. Goble, C., et al.: Transparent Access to Multiple Bioinformatics Information Sources (TAMBIS). IBM System Journal 40(2), 532–551 (2001)

    Article  Google Scholar 

  3. Kohler, J., Phillipi, S., Lange, M.: SEMEDA: ontology based semantic integration of biological databases. Bioinformatics 19(18) (2003)

    Google Scholar 

  4. The Unified Medical Language System (UMLS) fact sheet available at the National Institutes of Health Library of Medicine, http://www.nlm.nih.gov/pubs/factsheets/umls.html

  5. Perez-Roy, D., et al.: ONTOFUSION: Ontology-based integration of genomic and clinical databases. Computers in Biology & Medicine 36(7-8) (2006)

    Google Scholar 

  6. Stevens, R., Robinson, A., Goble, C.A.: myGrid: Personalised Bioinformatics on the Information Grid. Bioinformatics 19(suppl. 1), i302–i304 (2003)

    Google Scholar 

  7. Oliveira, I., et al.: On the Requirements of Biomedical Information Tools for Health Applications: The INFOGENMED Case Study. In: BioENG 2003, Lisbon, Portugal (2003)

    Google Scholar 

  8. Sanz, I., Mesiti, M., Guerrini, G., Berlanga, R.: ArHeX: An Approximate Retrieval System for Highly Heterogeneous XML Document Collections. In: Ioannidis, Y., Scholl, M.H., Schmidt, J.W., Matthes, F., Hatzopoulos, M., Böhm, K., Kemper, A., Grust, T., Böhm, C. (eds.) EDBT 2006. LNCS, vol. 3896, pp. 1186–1189. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  9. Sanz, I., Mesiti, M., Guerrini, G., Llavori, R.B.: Highly Heterogeneous XML Collections: How to Retrieve Precise Results? In: Larsen, H.L., Pasi, G., Ortiz-Arroyo, D., Andreasen, T., Christiansen, H. (eds.) FQAS 2006. LNCS (LNAI), vol. 4027, pp. 232–244. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  10. Jiménez, E., Berlanga, R., Sanz, I., Aramburu, M.J., Danger, R.: OntoPathView: A Simple View Definition Language for the Collaborative Development of Ontologies. In: Artificial Intelligence Research and Development, pp. 429–436. IOS Press, Amsterdam (2005)

    Google Scholar 

  11. Noy, N.F.: Semantic Integration: A Survey of Ontology Based Approaches. In: ACM SIGMOD Record, Special Issue on Semantic integration (2004)

    Google Scholar 

  12. Bouquet, Giunchiglia, F., Van Harmelen, F., Serafini, L., Stuckenschmidt, H.: Contextualizing ontologies. Journal of Web Semantics 1(4), 325–343 (2004)

    Google Scholar 

  13. Cuenca-Grau, Parsia, B., Sirin, E.: Combining OWL Ontologies using E-Connections. Journal of Web Semantics 4(1), 40–59 (2005)

    Google Scholar 

  14. Danger, R., Berlanga, R., Ruíz-Shulcloper, J.: CRISOL: An approach for automatically populating a Semantic Web from Unstructured Text Collections. In: Galindo, F., Takizawa, M., Traunmüller, R. (eds.) DEXA 2004. LNCS, vol. 3180, pp. 243–252. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jimenez-Ruiz, E. et al. (2006). The Management and Integration of Biomedical Knowledge: Application in the Health-e-Child Project (Position Paper). In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. OTM 2006. Lecture Notes in Computer Science, vol 4278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11915072_8

Download citation

  • DOI: https://doi.org/10.1007/11915072_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48273-4

  • Online ISBN: 978-3-540-48276-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics