Skip to main content

Combining Semantic Web Technologies and Rule-Based Systems for Building Advanced Medical Applications

  • Conference paper
Advances in New Technologies, Interactive Interfaces and Communicability (ADNTIIC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7547))

  • 1129 Accesses

Abstract

In this paper we discuss the possibility of building advanced medical knowledge-based applications using a combination of two promising technologies: semantic web technologies for the representation of domain knowledge and known facts, and rule-based systems for the definition of rules for knowledge base. We developed a prototype web application GeneMap, which enables browsing on diseases and related genes, which are known to influence the development of a disease; the publicly available Diseasome Dataset is used as a source of semantically-annotated medical data. The prototype is used to show how the two technologies can be efficiently combined to improve both the performance of such applications and the possibility of discovering new patterns that could lead towards new medical knowledge.

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 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.

References

  1. Stevens, R., Goble, C.A., Bechhofer, S.: Ontology-based knowledge representation for bioinformatics. Brief Bioinformatics 1, 398–416 (2000)

    Article  Google Scholar 

  2. Stephens, S., LaVigna, D., DiLascio, M., Luciano, J.: Aggregation of bioinformatics data using Semantic Web technology. Web Semantics: Science, Services and Agents on the World Wide Web 4(3), 216–221 (2006)

    Article  Google Scholar 

  3. Pasquier, C.: Biological data integration using Semantic Web technologies. Biochimie 90(4), 584–594 (2008)

    Article  Google Scholar 

  4. Podgorelec, V., Grasic, B., Pavlic, L.: Medical diagnostic process optimization through the semantic integration of data resources. Computer Methods and Programs in Biomedicine 95(2), S55–S67 (2009)

    Article  Google Scholar 

  5. García-Sánchez, F., Fernández-Breis, J.T., Valencia-García, R., Gómez, J.M., Martínez-Béjar, R.: Combining Semantic Web technologies with Multi-Agent Systems for integrated access to biological resources. Journal of Biomedical Informatics 41(5), 848–859 (2008)

    Article  Google Scholar 

  6. Mei, J., Bontas, E.P., Lin, Z.: OWL2Jess: A Transformational Implementation of the OWL Semantics. In: Chen, G., Pan, Y., Guo, M., Lu, J. (eds.) ISPA-WS 2005. LNCS, vol. 3759, pp. 599–608. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  7. Ceusters, W., Smith, B., Flanagan, J.: Ontology and medical terminology: Why description logics are not enough. In: Proceedings of Towards an Electronic Patient Record, TEPR 2003, Boston, MA (2003)

    Google Scholar 

  8. Passin, T.B.: Explorers guide to Semantic Web. Manning, Greenwich (2004)

    Google Scholar 

  9. Manola, F., Miller, E. (eds.): RDF Primer. W3C Recommendation (2004)

    Google Scholar 

  10. McGuiness, D.L., Harmelen, F. (eds.): OWL Web Ontology Language Overview. W3C Recommendation (2004)

    Google Scholar 

  11. Lacy, L.W.: OWL: Representing Information Using the Web Ontology Language. Trafford Publishing (2005)

    Google Scholar 

  12. Horrocks, I., Patel-Schneider, P.F., Boley, H., Tabet, S., Grosof, B., Dean, M.: SWRL: A Semantic Web Rule Language Combining OWL and RuleML. W3C Consortium (2004), http://www.w3.org/Submission/SWRL/

  13. Browne, P.: JBoss Drools Business Rules. Packt Publishing, Birmingham (2009)

    Google Scholar 

  14. Jena - A Semantic Web Framework for Java, http://jena.sourceforge.net/

  15. Friedman-Hill, E.: Jess in Action: Java Rule-Based Systems. Manning Publications, Greenwich (2003)

    Google Scholar 

  16. Rawlings, C.J., Searls, D.B.: Computational gene discovery and human disease. Current Opinion in Genetics & Development 7(3), 416–423 (1997)

    Article  Google Scholar 

  17. Gudivada, R.C., Qu, X.A., Chen, J., Jegga, A.G., Neumann, E.K., Aronow, B.J.: Identifying disease-causal genes using Semantic Web-based representation of integrated genomic and phenomic knowledge. Journal of Biomedical Informatics 41(5), 717–729 (2008)

    Article  Google Scholar 

  18. Diseasome Dataset, http://www4.wiwiss.fu-berlin.de/diseasome/

  19. The DrugBank Database, http://www.drugbank.ca/

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

Podgorelec, V., Gradišnik, M. (2012). Combining Semantic Web Technologies and Rule-Based Systems for Building Advanced Medical Applications. In: Cipolla-Ficarra, F., Veltman, K., Verber, D., Cipolla-Ficarra, M., Kammüller, F. (eds) Advances in New Technologies, Interactive Interfaces and Communicability. ADNTIIC 2011. Lecture Notes in Computer Science, vol 7547. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34010-9_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34010-9_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34009-3

  • Online ISBN: 978-3-642-34010-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics