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Integrating Heterogeneous and Distributed Information about Marine Species through a Top Level Ontology

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Metadata and Semantics Research (MTSR 2013)

Abstract

One of the main characteristics of biodiversity data is its cross-disciplinary feature and the extremely broad range of data types, structures, and semantic concepts which encompasses. Moreover, biodiversity data, especially in the marine domain, is widely distributed, with few well-established repositories or standard protocols for their archiving, access, and retrieval. Our research aims at providing models and methods that allow integrating such information either for publishing it, browsing it, or querying it. For providing a valid and reliable knowledge ground for enabling semantic interoperability of marine data, in this paper we motivate a top level ontology, called MarineTLO that we have designed for this purpose, and discuss its use for creating MarineTLO-based warehouses in the context of a research infrastructure.

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References

  1. Candela, L., Castelli, D., Pagano, P.: Managing big data through hybrid data infrastructures. ERCIM News (89), 37–38 (2012)

    Google Scholar 

  2. Doerr, M., Hunter, J., Lagoze, C.: Towards a core ontology for information integration. Journal of Digital Information 4 (2003)

    Google Scholar 

  3. Fafalios, P., Kitsos, I., Marketakis, Y., Baldassarre, C., Salampasis, M., Tzitzikas, Y.: Web searching with entity mining at query time. In: Salampasis, M., Larsen, B. (eds.) IRFC 2012. LNCS, vol. 7356, pp. 73–88. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  4. Fafalios, P., Tzitzikas, Y.: X-ENS: Semantic Enrichment of Web Search Results at Real-Time. In: Procs of SIGIR 2013 (2013)

    Google Scholar 

  5. Gangemi, A., Fisseha, F., Pettman, I., Keizer, J.: Building an integrated formal ontology for semantic interoperability in the fishery domain. In: Procs. of ISWC 2002 (2002)

    Google Scholar 

  6. Haslhofer, B., Momeni Roochi, E., Schandl, B., Zander, S.: Europeana RDF store report (2011)

    Google Scholar 

  7. Hitzler, P., Krtzsch, M., Parsia, B., Patel-Schneider, P.F., Rudolph, S.: OWL 2 Web Ontology Language Primer. In: W3C Recommendation, World Wide Web Consortium (October 2009)

    Google Scholar 

  8. Ibrahim, L., Pyster, A.: A single model for process improvement. IT Professional 6(3) (May 2004)

    Google Scholar 

  9. Noessner, J., Niepert, M., Meilicke, C., Stuckenschmidt, H.: Leveraging terminological structure for object reconciliation. In: Aroyo, L., Antoniou, G., Hyvönen, E., ten Teije, A., Stuckenschmidt, H., Cabral, L., Tudorache, T. (eds.) ESWC 2010, Part II. LNCS, vol. 6089, pp. 334–348. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  10. Sacco, G.M., Tzitzikas, Y.: Dynamic Taxonomies and Faceted Search: Theory, Practice, and Experience, vol. 25. Springer (2009)

    Google Scholar 

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Tzitzikas, Y. et al. (2013). Integrating Heterogeneous and Distributed Information about Marine Species through a Top Level Ontology. In: Garoufallou, E., Greenberg, J. (eds) Metadata and Semantics Research. MTSR 2013. Communications in Computer and Information Science, vol 390. Springer, Cham. https://doi.org/10.1007/978-3-319-03437-9_29

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  • DOI: https://doi.org/10.1007/978-3-319-03437-9_29

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03436-2

  • Online ISBN: 978-3-319-03437-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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