Integrating Consumer-Oriented Vocabularies with Selected Professional Ones from the UMLS Using Semantic Web Technologies

  • Elena Cardillo
  • Genaro Hernandez
  • Olivier Bodenreider
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 69)


During the past few years, many consumer-oriented vocabularies have been developed to reflect the multitude of ways consumers express health topics, in order to help lay users access health information and manage their personal healthcare data. To address problems such as interoperability, ambiguity, and heterogeneity of medical information, the lay expressions from consumer vocabularies need to be mapped to the specialized vocabulary used by professionals (i.e., mapped to terms from existing medical vocabularies). This paper presents an approach for creating an Integration Framework for the General Practice domain. Our work leverages the Italian consumer-oriented medical vocabulary and its mapping to the ICPC2 terminology. We exploit mappings to four other professional vocabularies available through the UMLS Metathesaurus. Semantic Web technologies provide a platform for the representation of medical terms and their inter-relations. This framework could facilitate the exchange of information between consumers and healthcare professionals in health information systems.


Medical-Terminology Integration UMLS Semantic Web 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Zeng, Q., Tse, T.: Exploring and Developing Consumer Health Vocabularies. J. of Am. Med. Inf. Assoc. 13, 24–29 (2006)CrossRefGoogle Scholar
  2. 2.
    Cardillo, E., Serafini, L., Tamilin, A.: A Hybrid Methodology for Consumer-oriented Healthcare Knowledge Acquisition. In: Riaño, D., ten Teije, A., Miksch, S., Peleg, M. (eds.) KR4HC 2009. LNCS, vol. 5943, pp. 38–49. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  3. 3.
    Hitzler, P., Krötzsch, M., Rudolph, S.: Foundations of Semantic Web Technologies. Chap-man & Hall/CRC (2009)Google Scholar
  4. 4.
    Soergel, D., Tse, T., Slaughter, L.: Helping Healthcare Consumers Understand: An “Inter-pretative Layer” for Finding and Making Sense of Medical Information. In: The International Medical Informatics Association’s Conference, IMIA 2004, pp. 931–935 (2004)Google Scholar
  5. 5.
    Ruttenberg, A., Clark, T., Bug, W., Samwald, M., Bodenreider, O., Chen, H., et al.: Advancing translational research with the Semantic Web. BMC Bioinformatics 8(suppl 3), S2 (2007) Google Scholar
  6. 6.
    Cheung, K.H., Kashyap, V., Luciano, J.S., Chen, H., Wang, Y., Stephens, S.J.: Biomed Inform. 41(5), 683–686 (2008)CrossRefGoogle Scholar
  7. 7.
    Bodenreider, O.: Comparing SNOMED CT and the NCI Thesaurus through Semantic Web Technologies. In: Cornet, R., Spackman, K.A. (eds.) The 3rd International Conference on Knowledge Representation in Medi-cine, KR-MED2008 (2008)Google Scholar
  8. 8.
    Bodenreider, O.: Issues in Mapping LOINC Laboratory Tests to SNOMED CT. In: AMIA Annual Symposium, AMIA 2008, pp. 51–55 (2008) Google Scholar
  9. 9.
    Okkes, I.M., Jamoulle, M., Lamberts, H., Bentzen, N.: ICPC-2-E: the electronic version of ICPC-2. Differences from the printed version and the consequences. Family Practice 17, 101–107 (2000)CrossRefGoogle Scholar
  10. 10.
    Cardillo, E., Eccher, C., Serafini, L., Tamilin, A.: Logical Analysis of Mappings between Medical Classification Systems. In: Dochev, D., Pistore, M., Traverso, P. (eds.) AIMSA 2008. LNCS (LNAI), vol. 5253, pp. 311–321. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  11. 11.
    Bodenreider, O.: The Unified Medical Language System (UMLS): Integrating biomedical terminology. Nucleic Acids Research 32 (2004)Google Scholar
  12. 12.
    McDonald, C.J., Huff, S.M., Suico, J.G., Hill, G.J., Leavelle, D., Aller, R., Forrey, A., Mercer, K., De Moor, G., Hook, J., Williams, W., Case, J., Maloney, P.: LOINC, a Universal Stan-dard for Identifying Laboratory Observations: A 5-Year Update. Clinical Chemistry 49, 624–633 (2003)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2011

Authors and Affiliations

  • Elena Cardillo
    • 1
    • 3
  • Genaro Hernandez
    • 2
    • 3
  • Olivier Bodenreider
    • 3
  1. 1.Fondazione Bruno KesslerPovoItaly
  2. 2.University of Maryland Baltimore CountyBaltimoreUSA
  3. 3.National Library of MedicineBethesdaUSA

Personalised recommendations