Skip to main content

Enabling Data Integration Using MIPMap

  • Conference paper
  • First Online:
Data Integration in the Life Sciences (DILS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 10649))

Included in the following conference series:

  • 583 Accesses

Abstract

In previous work we have analysed the infrastructure of the Human Brain Project Medical Informatics Platform focusing on the challenges related to dataintegration based on a visual data exchange tool, called MIPMap. In this paper we present new MIPMap features that enhance the integration process and data access.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and 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

Institutional subscriptions

Notes

  1. 1.

    http://mip.humanbrainproject.eu.

  2. 2.

    https://github.com/aueb-wim/MIPMap.

  3. 3.

    https://github.com/aueb-wim/WebMIPMap.

  4. 4.

    Same mapping tasks are the ones that have the same tables and attributes as source and target schemata respectively.

  5. 5.

    Two correspondences are the same if they have the same (source and) target attributes and in case they contain functions or constants they are also the same.

  6. 6.

    http://www.snomed.org.

References

  1. Abiteboul, S., Hull, R., Vianu, V.: Foundations of Databases. Addison-Wesley, Massachusetts (1995)

    MATH  Google Scholar 

  2. Ashburner, J., Friston, K.J.: Diffeomorphic registration using geodesic shooting and Gauss-Newton optimisation. NeuroImage 55(3), 954–967 (2011)

    Article  Google Scholar 

  3. Astrova, I., Kalja, A.: Automatic transformation of sql relational databases to owl ontologies. WEBIST 2(2008), 131–136 (2008)

    Google Scholar 

  4. Dadjoo, M., Kheirkhah, E.: An approach for transforming of relational databases to owl ontology. arXiv preprint arXiv:1502.05844 (2015)

  5. Das, S., Sundara, S., Cyganiak, R.: R2RML: RDB to RDF mapping language (2012)

    Google Scholar 

  6. Eleftherios, F.: Extending a data integration tool with ontologies. Thesis report in Master of Science in Information Systems, Athens University of Economics and Business, October 2016

    Google Scholar 

  7. Ferraiolo, D.F., Sandhu, R., Gavrila, S., Kuhn, D.R., Chandramouli, R.: Proposed NIST standard for role-based access control. ACM Trans. Inf. Syst. Secur. 4(3), 224–274 (2001)

    Article  Google Scholar 

  8. García-Crespo, Á., Gómez-Berbís, J.M., Colomo-Palacios, R., Alor-Hernández, G.: Securontology: a semantic web access control framework. Comput. Stand. Interfaces 33(1), 42–49 (2011)

    Article  Google Scholar 

  9. Jain, A., Farkas, C.: Secure resource description framework: an access control model. In: Proceedings of the Eleventh ACM Symposium on Access Control Models and Technologies, pp. 121–129. ACM (2006)

    Google Scholar 

  10. Li, N., Mitchell, J.C.: Datalog with constraints: a foundation for trust management languages. In: Dahl, V., Wadler, P. (eds.) PADL 2003. LNCS, vol. 2562, pp. 58–73. Springer, Heidelberg (2003). doi:10.1007/3-540-36388-2_6

    Chapter  Google Scholar 

  11. Marnette, B., et al.: ++Spicy: an OpenSource Tool for second-generation schema mapping and data exchange. PVLDB 4(12), 1438–1441 (2011)

    Google Scholar 

  12. Motik, B., Grau, B.C., Horrocks, I., Wu, Z., Fokoue, A., Lutz, C.: OWL 2 Web Ontology Language Profiles. W3C Recommendation, 27 October 2009

    Google Scholar 

  13. Quoc Viet Nguyen, H., Luong, X.H., Miklós, Z., Quan, T.T., Aberer, K.: Collaborative schema matching reconciliation. In: Meersman, R., Panetto, H., Dillon, T., Eder, J., Bellahsene, Z., Ritter, N., De Leenheer, P., Dou, D. (eds.) OTM 2013. LNCS, vol. 8185, pp. 222–240. Springer, Heidelberg (2013). doi:10.1007/978-3-642-41030-7_14

    Chapter  Google Scholar 

  14. Page, L., Brin, S., Motwani, R., Winograd, T.: The pagerank citation ranking: Bringing order to the web. Technical report, Stanford InfoLab (1999)

    Google Scholar 

  15. Reddivari, P., Finin, T., Joshi, A.: Policy-based access control for an RDF store. In: Proceedings of the Policy Management for the Web Workshop, vol. 120, pp. 78–83 (2005)

    Google Scholar 

  16. Rodríguez-Muro, M., Kontchakov, R., Zakharyaschev, M.: Ontology-based data access: Ontop of databases. In: Alani, H., Kagal, L., Fokoue, A., Groth, P., Biemann, C., Parreira, J.X., Aroyo, L., Noy, N., Welty, C., Janowicz, K. (eds.) ISWC 2013. LNCS, vol. 8218, pp. 558–573. Springer, Heidelberg (2013). doi:10.1007/978-3-642-41335-3_35

    Chapter  Google Scholar 

  17. Sandhu, R.S., Coyne, E.J., Feinstein, H.L., Youman, C.E.: Role-based access control models. IEEE Comput. 29(2), 38–47 (1996)

    Article  Google Scholar 

  18. Shields, B., Molloy, O., Lyons, G., Duggan, J.: Using semantic rules to determine access control for web services. In: Proceedings of the 15th International Conference on World Wide Web, WWW 2006, Edinburgh, Scotland, UK, 23–26 May 2006, pp. 913–914 (2006)

    Google Scholar 

  19. Tonti, G., Bradshaw, J.M., Jeffers, R., Montanari, R., Suri, N., Uszok, A.: Semantic web languages for policy representation and reasoning: a comparison of KAoS, Rei, and Ponder. In: Fensel, D., Sycara, K., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 419–437. Springer, Heidelberg (2003). doi:10.1007/978-3-540-39718-2_27

    Chapter  Google Scholar 

  20. Venetis, T., Stoilos, G., Stamou, G.: Query extensions and incremental query rewriting for OWL 2 QL ontologies. J. Data Semant. 3(1), 1–23 (2014)

    Article  Google Scholar 

  21. Venetis, T., Vassalos, V.: Data integration in the human brain project. In: Ashish, N., Ambite, J.-L. (eds.) DILS 2015. LNCS, vol. 9162, pp. 28–36. Springer, Cham (2015). doi:10.1007/978-3-319-21843-4_3

    Chapter  Google Scholar 

  22. Vysniauskas, E., Nemuraite, L.: Transforming ontology representation from owl to relational database. Inform. Technol. Control 35(3) (2015)

    Google Scholar 

  23. Zhang, C.J., Chen, L., Jagadish, H.V., Cao, C.C.: Reducing uncertainty of schema matching via crowdsourcing. Proc. VLDB Endowment 6(9), 757–768 (2013)

    Article  Google Scholar 

Download references

Acknowledgment

The research leading to these results has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 720270 (HBP SGA1).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tassos Venetis .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Stoilos, G., Trivela, D., Vassalos, V., Venetis, T., Xarchakos, Y. (2017). Enabling Data Integration Using MIPMap. In: Da Silveira, M., Pruski, C., Schneider, R. (eds) Data Integration in the Life Sciences. DILS 2017. Lecture Notes in Computer Science(), vol 10649. Springer, Cham. https://doi.org/10.1007/978-3-319-69751-2_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-69751-2_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69750-5

  • Online ISBN: 978-3-319-69751-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics