AGRIS: providing access to agricultural research data exploiting open data on the web

Celli, Fabrizio, Malapela, Thembani, Wegner, Karna, Subirats-Coll, Imma, Kokoliou, Elena and Keizer, Johannes AGRIS: providing access to agricultural research data exploiting open data on the web. F1000Research, 2015. [Journal article (Unpaginated)]

[thumbnail of 10.12688_f1000research.6354.1_20151006.pdf] Text
10.12688_f1000research.6354.1_20151006.pdf
Download (3MB)

English abstract

AGRIS is the International System for Agricultural Science and Technology. It is supported by a large community of data providers, partners and users. AGRIS is a database that aggregates bibliographic data, and through this core data, related content across online information systems is retrieved by taking advantage of Semantic Web capabilities. AGRIS is a global public good and its vision is to be a responsive service to its user needs by facilitating contributions and feedback regarding the AGRIS core knowledgebase, AGRIS’s future and its continuous development. Periodic AGRIS e-consultations, partner meetings and user feedback are assimilated to the development of the AGRIS application and content coverage. This paper outlines the current AGRIS technical set-up, its network of partners, data providers and users as well as how AGRIS’s responsiveness to clients’ needs inspires the continuous technical development of the application. The paper concludes by providing a use case of how the AGRIS stakeholder input and the subsequent AGRIS e-consultation results influence the development of the AGRIS application, knowledgebase and service delivery.

Item type: Journal article (Unpaginated)
Keywords: AGRIS, FAO, FAOAIMS, Semantic Web, Linked Open Data, Open Data, Aggregators, FAO_AIMS
Subjects: L. Information technology and library technology
L. Information technology and library technology > LN. Data base management systems.
L. Information technology and library technology > LS. Search engines.
Depositing user: Thembani Malapela
Date deposited: 12 Oct 2015 07:50
Last modified: 20 Nov 2015 13:41
URI: http://hdl.handle.net/10760/28134

References

Gueret C, Boyera S, Powell M, et al.: The Semantic Web for all. 2014.

Gayo JEL, Kontokostas D, Auer S: Multilingual Linked Data Patterns. 2012.

Bauer F, Kaltenböck M: Linked open data: The essentials. A quick start guide for decision makers. 2012.

Zuiderwijk A, Jeffery K, Janssen M: The potential of metadata for linked open data and its value for users and publishers. JeDEM. 2012; 4(2): 222–244.

Zaveri A, Rula A, Maurino A: Quality assessment methodologies for linked open data: A systematic literature review and conceptual framework. 2012.

Caracciolo C, Stellato A, Morshed A, et al.: The AGROVOC linked dataset. Semantic Web. 2013; 4(3): 341–348.

Anibaldi S, Jaques Y, Celli F, et al.: Migrating bibliographic datasets to the Semantic Web: The AGRIS case. Semantic Web. 2015; 6(2): 113–120.

Rodríguez JM, Clement AJ, Farhan H, et al.: Publishing statistical data following the linked open data principles: The web index project. In Ordonez de Pablos, P. (ed). Cases on Open-Linked Data and Semantic Web Applications. Spain: IGI. 2013; 28.

Celli F, Jaques Y, Anibaldi S, et al.: Pushing, Pulling, Harvesting, Linking: Rethinking bibliographic workflows for the semantic web. EFITA-WCCA-CIGR Conference, Turin, Italy, 24–27 June 2013. 2013.

Turpin A, Scholer F: User performance versus precision measures for simple search tasks. In Proceedings of the 29th Annual international ACM SIGIR Conference on Research and Development in information Retrieval. 2006; 11–18.

Jaques Y, Anibaldi S, Celli F, et al.: Proof and Trust in the OpenAGRIS Implementation. Proc. Int’l Conf. on Dublin Core and Metadata Applications. 2012.


Downloads

Downloads per month over past year

Actions (login required)

View Item View Item
Contact us
Send email Sponsors
Sponsor: AIMS Sponsor: D&P Sponsor: UniNa CAB Get connected
Facebook Facebook Twitter Twitter Linkedin LinkedIn RSS RSS