Publishing and Linking Semantically Annotated Agro-environmental Resources to LOD with AGROPub

  • Saša Nešić
  • Andrea Emilio Rizzoli
  • Ioannis N. Athanasiadis
Part of the Communications in Computer and Information Science book series (CCIS, volume 240)


Publishing agro-environmental resources to a linked open data (LOD) cloud requires publishers to adopt a set of universally recognized linked data principles. These principles, along with semantic annotations based on shared domain ontologies can ensure the semantic integration of agro-environmental resources. In this paper we present a resource-publishing system, called AGROPub, that we developed to aid agro-environmental resource providers to annotate, publish and integrate their resources to LOD. The system comprises services and tools that enable resource providers to annotate their resources by relevant concepts from selected agro-environmental domain ontologies, to generate and publish RDF descriptions of the resources to LOD and to link the published resources to related resources from LOD. In addition to the services and tools dedicated to resource providers, AGROPub provides services and tools that enable consumers of the agro-environmental resources to search and annotate published resources by adding their own annotations as well as to evaluate them based on given criteria.


agro-environmental resource publishing annotation linked-open data 


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  1. 1.
    Anyanwu, K., Maduko, A., Sheth, A.P.: Semrank: ranking complex relationship search results on the semantic web. In: Proceedings of the 14th International WWW Conference, pp. 117–127 (2005)Google Scholar
  2. 2.
    Athanasiadis, I.N., Rizzoli, A.E., Donatelli, M., Carlini, L.: Enriching environmental software model interfaces through ontology-based tools. International Journal of Applied Systemic Studies 4(1/2), 94–105 (2011)CrossRefGoogle Scholar
  3. 3.
    Auer, S., Dietzold, S., Riechert, T.: Ontowiki - a tool for social, semantic collaboration. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L.M. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 736–749. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  4. 4.
    Bizer, C., Heath, T., Berners-Lee, T.: Linked Data - The story so far. Int. Journal on Semantic Web and Information Systems 5(3), 1–22 (2009)CrossRefGoogle Scholar
  5. 5.
    Dill, S., Eiron, N., Gibson, D., Gruhl, D., Guha, R., Jhingran, A., Kanungo, T., Rajagopalan, S., Tomkins, A., Tomlin, J.A., Zien, J.Y.: Semtag and seeker: bootstrapping the semantic web via automated semantic annotation. In: Proceedings of the 12th International Conference on World Wide Web, WWW 2003, pp. 178–186. ACM, New York (2003)Google Scholar
  6. 6.
    Ebner, H., Manouselis, N., Palmer, M., Enoksson, F., Palavitsinis, N., Kastrantas, K., Naeve, A.: Learning object annotation for agricultural learning repositories. In: Proc. 9th Intl. Conf. on Advanced Learning Technologies (ICALT 2009), pp. 438–442 (2009)Google Scholar
  7. 7.
    Goodall, J.L., Robinson, B.F., Castronova, A.M.: Modeling water resource systems using a service-oriented computing paradigm. Environmental Modelling and Software 26, 573–582 (2011)CrossRefGoogle Scholar
  8. 8.
    Granell, C., Diaz, L., Gould, M.: Service-oriented applications for environmental models: Reusable geospatial services. Environmental Modelling and Software 25(2), 182–198 (2010)CrossRefGoogle Scholar
  9. 9.
    Nešić, S., Rizzoli, A.E., Athanasiadis, I.N.: Towards a semantically uni ed environmental information space. In: Hřebíček, J., Schimak, G., Denzer, R. (eds.) Environmental Software Systems. IFIP AICT, vol. 359, pp. 407–418. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  10. 10.
    Nešić, S., Rizzoli, A.E., Athanasiadis, I.N., Donatelli, M.: Publishing agro-environmental data to a semantically unified environmental information space: a case study. In: Proceedings of the 25th International Conference on Informatics for Environmental Protection - EnviroInfo 2011 (in press, 2011)Google Scholar
  11. 11.
    Pariente, T., Fuentes, J.M., Sanguino, M.A., Yurtsever, S., Avellino, G., Rizzoli, A.E., Nešić, S.: A model for semantic annotation of environmental resources: The taToo semantic framework. In: Hřebíček, J., Schimak, G., Denzer, R. (eds.) Environmental Software Systems. IFIP AICT, vol. 359, pp. 419–427. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  12. 12.
    Rocha, C., Schwabe, D., de Aragão, M.P.: A hybrid approach for searching in the semantic web. In: Proceedings of the 13th International WWW Conference, pp. 374–383 (2004)Google Scholar
  13. 13.
    Uslander, T., Jacques, P., Simonis, I., Watson, K.: Designing environmental software applications based upon an open sensor service architecture. Environmental Modelling and Software 25(9), 977–987 (2010)CrossRefGoogle Scholar
  14. 14.
    Villa, F., Athanasiadis, I.N., Rizzoli, A.E.: Modelling with knowledge: a review of emerging semantic approaches to environmental modelling. Environmental Modelling and Software 24(5), 577–587 (2009)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Saša Nešić
    • 1
  • Andrea Emilio Rizzoli
    • 1
  • Ioannis N. Athanasiadis
    • 2
  1. 1.IDSIAMannoSwitzerland
  2. 2.Democritus University of ThraceXanthiGreece

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