Construction and Reuse of Linked Agriculture Data: An Experience of Taiwan Government Open Data

  • Dongpo DengEmail author
  • Guan-Shuo Mai
  • Steven Shiau
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11341)


This paper describes our experiences on dealing with the transformation from Traceable Agriculture Product (TAP) records to Linked Open Government Data. By using existing ontologies and vocabularies, TAP Ontology is developed for clarifying the semantics of TAP. To increase the reusability of TAP, the crops and operational processing details of TAP are mapped to Common Agricultural Vocabulary (CAVOC). There are four SPARQL endpoints developed for supporting queries to TAP. To demonstrate the reuse of Linked TAP, we develop a Chrome extension LinkedFood to offer TAP information via reading ingredients in recipe websites.


Linked data Open data Traceability Semantics Traceable agriculture product 


  1. 1.
    Kaboré, E., Yeumo, D., Madalli, D., Keizer, J.: Opening and linking agricultural research data. D-Lib Mag. 20(1–2), 1 (2014)Google Scholar
  2. 2.
    L’Abate, G., Caracciolo, C., Pesce, V., Geser, G., Protonotarios, V., Costantini, E.A.C.: Exposing vocabularies for soil as linked open data. Inf. Process. Agric. 2(3), 208–216 (2015)Google Scholar
  3. 3.
    Lawan, A., Rakib, A., Alechina, N., Karunaratne, A.: Advancing underutilized crops knowledge using SWRL-enabled ontologies - a survey and early experiment. In: Workshop and Poster Proceedings of the 4th Joint International Semantic Technology Conference Co-located with the 4th Joint International Semantic Technology Conference (JIST 2014). LNCS, vol. 1312 (2014)Google Scholar
  4. 4.
    Lebo, T., et al.: Producing and using linked open government data in the TWC LOGD portal. In: Wood, D. (ed.) Linking Government Data, pp. 51–72. Springer, New York (2011). Scholar
  5. 5.
    Pesce, V., Maru, A., Archer, P., Malapela, T., Keizer, J.: Setting up a global linked data catalog of datasets for agriculture. In: Garoufallou, E., Hartley, R.J., Gaitanou, P. (eds.) MTSR 2015. CCIS, vol. 544, pp. 357–368. Springer, Cham (2015). Scholar
  6. 6.
    Rajabi, E., Sanchez-Alonso, S., Sicilia, M.A., Manouselis, N.: A linked and open dataset from a network of learning repositories on organic agriculture. Br. J. Educ. Technol. 48(1), 71–82 (2017)CrossRefGoogle Scholar
  7. 7.
    Setboonsarng, S., Sakai, J., Vancura, L.: Food Safety and ICT traceability systems: lessons from Japan for developing countries. ADBI Working Paper, No. 139. Asian Development Bank, Tokyo (2009)Google Scholar
  8. 8.
    Solanki, M., Brewster, C.: Consuming linked data in supply chains: enabling data visibility via linked pedigrees. In: Fourth International Workshop on Consuming Linked Data (COLD) (2013)Google Scholar
  9. 9.
    Xian, G., Zhao, R., Meng, X., Kou, Y., Zhu, L.: Linking and consuming agricultural big data with linked data and KOS. In: Li, D., Chen, Y. (eds.) CCTA 2014. IAICT, vol. 452, pp. 546–555. Springer, Cham (2015). Scholar

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© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Industrial Technology Research InstituteTaipeiTaiwan
  2. 2.Biodiversity Research CenterAcademia SinicaTaipeiTaiwan
  3. 3.National Center for High-Performance ComputingTaipeiTaiwan

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