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.
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References
Angles, R., Gutierrez, C.: Survey of graph database models. ACM Comput. Surv. 40(1), 1:1–1:39 (2008)
Bizer, C.: D2rq - treating non-rdf databases as virtual rdf graphs. In: Proceedings of the 3rd International Semantic Web Conference (2004)
Brandes, U., Erlebach, T.: Network Analysis: Methodological Foundations. LNCS. Springer-Verlag New York, Inc., Secaucus (2005)
Colazzo, D., Sartiani, C.: Typing query languages for data graphs. In: I. W. on Graph Data Management: Techniques and Applications (2014)
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)
Daltio, J., Medeiros, C.B.: Aondê: An ontology web service for interoperability across biodiversity applications. Information Systems 33(7-8), 724–753 (2008)
Furtado, A., Sevcik, K., Santos, C.: Permitting updates through views of databases. Informations Systems 4, 269–283 (1979)
Guarino, N.: Formal ontology and information systems. In: Proceedings of Formal Ontology in Information System, pp. 3–15. IOS Press (1998)
Hey, T., Tansley, S., Tolle, K. (eds.): The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft Research, Redmond (2009)
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)
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)
Robinson, I., Webber, J., Eifrem, E.: Graph Databases. O’Reilly Media (2013) (Incorporated)
Santanche, A., Medeiros, C.B., Jomier, J., Zam, M.: Challenges of the Anthropocene epoch - Supporting multi-focus research. In: Proc XIII GeoINFO (2012)
Wood, P.T.: Query languages for graph databases. SIGMOD Rec. 41(1), 50–60 (2012)
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)
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Daltio, J., Medeiros, C.B. (2014). Handling Multiple Foci in Graph Databases. In: Galhardas, H., Rahm, E. (eds) Data Integration in the Life Sciences. DILS 2014. Lecture Notes in Computer Science(), vol 8574. Springer, Cham. https://doi.org/10.1007/978-3-319-08590-6_6
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DOI: https://doi.org/10.1007/978-3-319-08590-6_6
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