Semantic Discovery of Resources in Cloud-Based PACS/RIS Systems

  • Rafael Berlanga
  • María Pérez
  • Lledó Museros
  • Rafael Forcada
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8138)


PACS/RIS systems store a huge volume of clinical data that are mostly accessed by the patient identifier. However, clinicians would like to retrieve information about similar clinical cases. In this paper, we claim that the semantics-based technology could improve the discovery and integration of information in this type of systems. We propose a semantic approach that semantically annotates the clinical information and retrieves the resources relevant to the clinician’s query, independently of their language and format. Moreover, cloud-based systems allow the integration with external resources. In this paper, we present preliminary results that show that current semantic technologies can produce good enough results to perform classification and retrieval tasks.


Cloud Computing Knowledge Resource Semantic Annotation Relevance Scheme Semantic Retrieval 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Aronson, A.R., Lang, F.M.: An overview of MetaMap: historical perspective and recent advances. Journal of the American Medical Informatics Association 17(3), 229–236 (2010)Google Scholar
  2. 2.
    Badue, C., Baeza-yates, R., Ribeiro-neto, B., Ziviani, N.: Distributed query processing using partitioned inverted files. In: Proceedings of 9th String Processing and Information Retrieval Symposium (SPIRE), pp. 10–20. IEEE CS Press (2001)Google Scholar
  3. 3.
    Berlanga, R., Nebot, V., Jimenez, E.: Semantic annotation of biomedical texts through concept retrieval. In: Workshop on Language Technology Applied to Biomedical and Health Documents, BioSEPLN (2010)Google Scholar
  4. 4.
    Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J., Brandic, I.: Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems 25(6), 599–616 (2009), CrossRefGoogle Scholar
  5. 5.
    Clunie, D.A.: DICOM Structured Reporting. PixelMed Publishing (2000)Google Scholar
  6. 6.
    Couto, F.M., Silva, M.J., Coutinho, P.: Finding genomic ontology terms in text using evidence content. BMC Bioinformatics 6(S-1) (2005)Google Scholar
  7. 7.
    Davis, M.W., Ogden, W.C.: Free Resources and Advanced Alignment For Cross-Language Text Retrieval. In: Text Retrieval Conference (TREC), pp. 385–395 (1997)Google Scholar
  8. 8.
    Markonis, D., Holzer, M., Dungs, S., Vargas, A., Langs, G., Kriewel, S., Müller, H.: A survey on visual information search behavior and requirements of radiologists. Methods of Information in Medicine 51(6), 539–548 (2012)CrossRefGoogle Scholar
  9. 9.
    He, C., Jin, X., Zhao, Z., Xiang, T.: A cloud computing solution for hospital information system. In: IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS), vol. 2, pp. 517–520 (2010)Google Scholar
  10. 10.
    Möller, M., Regel, S., Sintek, M.: RadSem: Semantic Annotation and Retrieval for Medical Images. In: Aroyo, L., et al. (eds.) ESWC 2009. LNCS, vol. 5554, pp. 21–35. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  11. 11.
    Mottaz, A., Yip, Y.L., Ruch, P., Veuthey, A.L.: Mapping proteins to disease terminologies: from UniProt to MeSH. BMC Bioinformatics 9(S-5) (2008)Google Scholar
  12. 12.
    Müller, H., de Herrera, A.G.S., Kalpathy-Cramer, J., Demner-Fushman, D., Antani, S., Eggel, I.: Overview of the ImageCLEF 2012 medical image retrieval and classification tasks. In: CLEF 2012 Working Notes (2012)Google Scholar
  13. 13.
    Noy, N.F., Shah, N.H., Whetzel, P.L., Dai, B., Dorf, M., Griffith, N., Jonquet, C., Rubin, D.L., Storey, M.A., Chute, C.G., Musen, M.A.: BioPortal: ontologies and integrated data resources at the click of a mouse. Nucleic Acids Research (2009),
  14. 14.
    Pathak, S., Criminisi, A., Shotton, J., White, S.: D., Robertson, Sparks, B., Munasinghe, I., Siddiqui, K.: Validating automatic semantic annotation of anatomy in DICOM CT images. In: Progress in Biomedical Optics and Imaging- Proceedings of SPIE (2011)Google Scholar
  15. 15.
    Pérez, M., Berlanga, R., Sanz, I., Aramburu, M.J.: A semantic approach for the requirement-driven discovery of web resources in the Life Science. Knowledge and Information Systems 34(3), 671–690 (2013)CrossRefGoogle Scholar
  16. 16.
    Philbin, J., Prior, F., Nagy, P.: Will the Next Generation of PACS Be Sitting on a Cloud? Journal of Digital Imaging 24(2), 179–183 (2011)CrossRefGoogle Scholar
  17. 17.
    Rebholz-Schuhmann, D., Arregui, M., Gaudan, S., Kirsch, H., Jimeno, A.: Text processing through Web services: calling Whatizit. Bioinformatics 24(2), 296–298 (2008)CrossRefGoogle Scholar
  18. 18.
    Rebholz-Schuhmann, D., Yepes, A.J.J., Van Mulligen, E.M., Kang, N., Kors, J., Milward, D., Corbett, P., Buyko, E., Beisswanger, E., Hahn, U.: CALBC Silver Standard Corpus. Journal of Bioinformatics and Computational Biology 8(1), 163–179 (2010)CrossRefGoogle Scholar
  19. 19.
    Rehder, B., Littman, M.L., Dumais, S.T., Landauer, T.K.: Automatic 3-language cross-language information retrieval with latent semantic indexing. In: Text Retrieval Conference (TREC), pp. 233–239 (1997)Google Scholar
  20. 20.
    Rolim, C.O., Koch, F.L., Westphall, C.B., Werner, J., Fracalossi, A., Salvador, G.S.: A Cloud Computing Solution for Patient’s Data Collection in Health Care Institutions. In: Proceedings of the 2010 Second International Conference on eHealth, Telemedicine, and Social Medicine, ETELEMED 2010, pp. 95–99. IEEE Computer Society, Washington, DC (2010)CrossRefGoogle Scholar
  21. 21.
    Rosenthal, A., Mork, P., Li, M.H., Stanford, J., Koester, D., Reynolds, P.: Methodological Review: Cloud computing: A new business paradigm for biomedical information sharing. Journal of Biomedical Informatics 43(2), 342–353 (2010), CrossRefGoogle Scholar
  22. 22.
    Ruch, P.: Query translation by text categorization. In: Proceedings of the 20th International Conference on Computational Linguistics, p. 686. Association for Computational Linguistics (2004)Google Scholar
  23. 23.
    Seifert, S., Kelm, M., Moeller, M., Mukherjee, S., Cavallaro, A., Huber, M., Comaniciu, D.: Semantic annotation of medical images. In: Proceedings of SPIE Medican Imaging, pp. 762808–762808–8 (2010),
  24. 24.
    Tsumoto, S., Hirano, S.: Data mining in hospital information system for hospital management. In: ICME International Conference on Complex Medical Engineering (ICME), pp. 1–5 (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Rafael Berlanga
    • 1
  • María Pérez
    • 1
  • Lledó Museros
    • 1
  • Rafael Forcada
    • 2
  1. 1.Universitat Jaume ICastellónSpain
  2. 2.ActualMedCastellónSpain

Personalised recommendations