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On the Evolution of Semantic Warehouses: The Case of Global Record of Stocks and Fisheries

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Metadata and Semantic Research (MTSR 2020)

Abstract

Semantic Warehouses integrate data from various sources for offering a unified view of the data and enabling the answering of queries which cannot be answered by the individual sources. However, such semantic warehouses have to be refreshed periodically as the underlying datasets change. This is a challenging requirement, not only because the mappings and transformations that were used for constructing the semantic warehouse can be invalidated, but also because additional information (not existing in the initial datasets) may have been added in the semantic warehouse, and such information needs to be preserved after every reconstruction. In this paper we focus on this particular problem in a real setting: the Global Record of Stocks and Fisheries, a semantic warehouse that integrates data about stocks and fisheries from various information systems. We propose and detail a process that can tackle these requirements and we report our experiences from implementing it.

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Notes

  1. 1.

    BlueBRIDGE (H2020-BG-2019-1), GA no 675680.

  2. 2.

    http://firms.fao.org/firms/en.

  3. 3.

    https://www.ramlegacy.org/.

  4. 4.

    https://www.fishsource.org/.

  5. 5.

    BlueCloud (H2020-EU.3.2.5.1), GA no: 862409.

  6. 6.

    https://wiki.gcube-system.org/index.php?title=GCube_Data_Catalogue_for_GRSF.

References

  1. Assante, M., et al.: Enacting open science by d4science. Futur. Gener. Comput. Syst. 101, 555–563 (2019)

    Article  Google Scholar 

  2. Dividino, R.Q., Gottron, T., Scherp, A., Gröner, G.: From changes to dynamics: dynamics analysis of linked open data sources. In: Proceedings of PROFILES@ESWC. CEUR-WS.org (2014)

    Google Scholar 

  3. Dos Reis, J.C., Pruski, C., Da Silveira, M., Reynaud-Delaître, C.: Dykosmap: a framework for mapping adaptation between biomedical knowledge organization systems. J. Biomed. Inform. 55, 153–173 (2015)

    Article  Google Scholar 

  4. Flouris, G., Manakanatas, D., Kondylakis, H., Plexousakis, D., Antoniou, G.: Ontology change: classification and survey. Knowle. Eng. Rev. 23(2), 117–152 (2008)

    Article  Google Scholar 

  5. Hyvönen, E., et al.: WarSampo data service and semantic portal for publishing linked open data about the second world war history. In: Sack, H., Blomqvist, E., d’Aquin, M., Ghidini, C., Ponzetto, S.P., Lange, C. (eds.) ESWC 2016. LNCS, vol. 9678, pp. 758–773. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-34129-3_46

  6. Jaradeh, M.Y., et al.: Open research knowledge graph: next generation infrastructure for semantic scholarly knowledge. In: Proceedings of the 10th International Conference on Knowledge Capture, pp. 243–246 (2019)

    Google Scholar 

  7. Käfer, T., Abdelrahman, A., Umbrich, J., O’Byrne, P., Hogan, A.: Observing linked data dynamics. In: Cimiano, P., Corcho, O., Presutti, V., Hollink, L., Rudolph, S. (eds.) ESWC 2013. LNCS, vol. 7882, pp. 213–227. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-38288-8_15

    Chapter  Google Scholar 

  8. Kohlmeier, S., Lo, K., Wang, L.L., Yang, J.: Covid-19 open research dataset (cord-19) (2020). https://doi.org/10.5281/zenodo.3813567

  9. Kondylakis, H., Plexousakis, D.: Ontology evolution without tears. Web Semant. Sci. Serv. Agents World Wide Web 19, 42–58 (2013)

    Article  Google Scholar 

  10. Marketakis, Y., et al.: X3ml mapping framework for information integration in cultural heritage and beyond. Int. J. Digit. Libr. 18(4), 301–319 (2017). https://doi.org/10.1007/s00799-016-0179-1

    Article  Google Scholar 

  11. Mountantonakis, M., Minadakis, N., Marketakis, Y., Fafalios, P., Tzitzikas, Y.: Quantifying the connectivity of a semantic warehouse and understanding its evolution over time. IJSWIS 12(3), 27–78 (2016)

    Google Scholar 

  12. Mountantonakis, M., Tzitzikas, Y.: Large-scale semantic integration of linked data: a survey. ACM Comput. Surv. (CSUR) 52(5), 103 (2019)

    Article  Google Scholar 

  13. R. Gazzotti, F. Michel, F.G.: Cord-19 named entities knowledge graph (cord19-nekg) (2020)

    Google Scholar 

  14. Reis, R.B., Morshed, A., Sellis, T.: Understanding link changes in LOD via the evolution of life science datasets (2019)

    Google Scholar 

  15. Roussakis, Y., Chrysakis, I., Stefanidis, K., Flouris, G., Stavrakas, Y.: A flexible framework for understanding the dynamics of evolving RDF datasets. In: Arenas, M., et al. (eds.) ISWC 2015. LNCS, vol. 9366, pp. 495–512. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-25007-6_29

    Chapter  Google Scholar 

  16. Tzitzikas, Y., et al.: Matware: constructing and exploiting domain specific warehouses by aggregating semantic data. In: Presutti, V., d’Amato, C., Gandon, F., d’Aquin, M., Staab, S., Tordai, A. (eds.) ESWC 2014. LNCS, vol. 8465, pp. 721–736. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07443-6_48

    Chapter  Google Scholar 

  17. Tzitzikas, Y., et al.: Unifying heterogeneous and distributed information about marine species through the top level ontology marineTLO. Program 50(1), 16–40 (2016)

    Google Scholar 

  18. Tzitzikas, Y., Kampouraki, M., Analyti, A.: Curating the specificity of ontological descriptions under ontology evolution. J. Data Semant. 3(2), 75–106 (2013). https://doi.org/10.1007/s13740-013-0027-z

    Article  Google Scholar 

  19. Tzitzikas, Y., et al.: Methods and tools for supporting the integration of stocks and fisheries. In: Salampasis, M., Bournaris, T. (eds.) HAICTA 2017. CCIS, vol. 953, pp. 20–34. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-12998-9_2

    Chapter  Google Scholar 

  20. Vandenbussche, P.Y., Umbrich, J., Matteis, L., Hogan, A., Buil-Aranda, C.: SPARQLES: monitoring public SPARQL endpoints. Semantic web 8(6), 1049–1065 (2017)

    Article  Google Scholar 

  21. Wishart, D.S., et al.: Drugbank 5.0: a major update to the drugbank database for 2018. Nucleic Acids Res. 46(D1), D1074–D1082 (2018)

    Google Scholar 

  22. Yumusak, S., Dogdu, E., Kodaz, H., Kamilaris, A., Vandenbussche, P.: Spend: linked data SPARQL endpoints discovery using search engines. IEICE Trans. Inf. Syst. 100(4), 758–767 (2017)

    Article  Google Scholar 

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Acknowledgements

This work has received funding from the European Union’s Horizon 2020 innovation action BlueCloud (Grant agreement No 862409).

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Correspondence to Yannis Marketakis .

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Marketakis, Y., Tzitzikas, Y., Gentile, A., van Niekerk, B., Taconet, M. (2021). On the Evolution of Semantic Warehouses: The Case of Global Record of Stocks and Fisheries. In: Garoufallou, E., Ovalle-Perandones, MA. (eds) Metadata and Semantic Research. MTSR 2020. Communications in Computer and Information Science, vol 1355. Springer, Cham. https://doi.org/10.1007/978-3-030-71903-6_26

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  • DOI: https://doi.org/10.1007/978-3-030-71903-6_26

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