Handling Multiple Foci in Graph Databases

  • Jaudete Daltio
  • Claudia Bauzer Medeiros
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8574)

Abstract

Scientific research has become data-intensive and data-dependent, with distributed, multidisciplinary, teams creating and sharing their findings. Graph databases are being increasingly considered as a computational means to loosely integrate such data, in particular when relationships among data and the data itself are at the same importance level. However, a problem to be faced in this context is that of multiple foci – where a focus, here, is a perspective on the data, for a particular research team and context. This paper describes a conceptual framework for the construction of arbitrary foci on graph databases, to help solve this problem. The framework, under construction, is illustrated using examples based on needs of teams involved in biodiversity research.

Keywords

eScience Graph Database Focus Views 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Angles, R., Gutierrez, C.: Survey of graph database models. ACM Comput. Surv. 40(1), 1:1–1:39 (2008)Google Scholar
  2. 2.
    Bizer, C.: D2rq - treating non-rdf databases as virtual rdf graphs. In: Proceedings of the 3rd International Semantic Web Conference (2004)Google Scholar
  3. 3.
    Brandes, U., Erlebach, T.: Network Analysis: Methodological Foundations. LNCS. Springer-Verlag New York, Inc., Secaucus (2005)CrossRefGoogle Scholar
  4. 4.
    Colazzo, D., Sartiani, C.: Typing query languages for data graphs. In: I. W. on Graph Data Management: Techniques and Applications (2014)Google Scholar
  5. 5.
    Cugler, D.C., Medeiros, C.B., Toledo, L.F.: An architecture for retrieval of animal sound recordings based on context variables. In: Concurrency and Computation: Practice and Experience, pp. 1–17 (2011)Google Scholar
  6. 6.
    Daltio, J., Medeiros, C.B.: Aondê: An ontology web service for interoperability across biodiversity applications. Information Systems 33(7-8), 724–753 (2008)CrossRefGoogle Scholar
  7. 7.
    Furtado, A., Sevcik, K., Santos, C.: Permitting updates through views of databases. Informations Systems 4, 269–283 (1979)CrossRefGoogle Scholar
  8. 8.
    Guarino, N.: Formal ontology and information systems. In: Proceedings of Formal Ontology in Information System, pp. 3–15. IOS Press (1998)Google Scholar
  9. 9.
    Hey, T., Tansley, S., Tolle, K. (eds.): The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft Research, Redmond (2009)Google Scholar
  10. 10.
    Noy, N.F., Musen, M.A.: Specifying ontology views by traversal. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, pp. 713–725. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  11. 11.
    Park, Y., Shankar, M., Park, B., Ghosh, J.: Graph databases for large-scale healthcare systems: A framework for efficient data management and data services. In: I. W. on Graph Data Management: Techniques and Applications (2014)Google Scholar
  12. 12.
    Robinson, I., Webber, J., Eifrem, E.: Graph Databases. O’Reilly Media (2013) (Incorporated)Google Scholar
  13. 13.
    Santanche, A., Medeiros, C.B., Jomier, J., Zam, M.: Challenges of the Anthropocene epoch - Supporting multi-focus research. In: Proc XIII GeoINFO (2012)Google Scholar
  14. 14.
    Wood, P.T.: Query languages for graph databases. SIGMOD Rec. 41(1), 50–60 (2012)CrossRefGoogle Scholar
  15. 15.
    Zhou, S., Jones, C.B.: A multi-representation spatial data model. In: Hadzilacos, T., Manolopoulos, Y., Roddick, J., Theodoridis, Y. (eds.) SSTD 2003. LNCS, vol. 2750, pp. 394–411. Springer, Heidelberg (2003)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jaudete Daltio
    • 1
    • 2
  • Claudia Bauzer Medeiros
    • 1
  1. 1.Institute of ComputingUNICAMPCampinasBrazil
  2. 2.Brazilian Agricultural Research Corporation’sEMBRAPABrazil

Personalised recommendations