Pushing, Pulling, Harvesting, Linking: Rethinking Bibliographic Workflows for the Semantic Web

Celli, Fabrizio and Jaques, Yves and Anibaldi, Stefano and Keizer, Johannes Pushing, Pulling, Harvesting, Linking: Rethinking Bibliographic Workflows for the Semantic Web., 2013 . In EFITA/WCCA/CIGR, Torino, Italy, June 23-27. [Conference paper]

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English abstract

In this paper we describe the ongoing move of the AGRIS repository toward a decentralized approach based on Linked Open Data (LOD) (Bizer, et al., 2008). This move has progressively required modifications and enhancements to data, models and workflows. The growing demand for freely accessible data has brought a rise in data distributed using LOD, which combines Resource Description Framework (RDF) (McBride, 2004a) and RDF Schema (McBride, 2004b) with vocabularies such as Dublin Core (DC) (Miles, et al., 2009) and Simple Knowledge Organisation System, together with interfaces such as SPARQL query language for RDF (Prud'hommeaux, et al., 2008). While LOD implementations are by now a well-established pattern, the impacts that such approaches have on underlying business processes is less well understood. The openness of the LOD paradigm can expose flaws in information management workflows. Poor metadata, lack of metrics, vague provenance; all can contribute to the inability of an LOD-enabled system to satisfy the demands of the Semantic Web.

Item type: Conference paper
Keywords: Linked open data, bibliographic data, agriculture, RDF, repositories, AIMS, FAO_AIMS, FAOAIMS
Subjects: I. Information treatment for information services
L. Information technology and library technology
L. Information technology and library technology > LN. Data base management systems.
Depositing user: Thembani Malapela
Date deposited: 12 Oct 2015 07:54
Last modified: 20 Nov 2015 13:36
URI: http://hdl.handle.net/10760/28132

References

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Caracciolo, C., A. Stellato, A. Morshed, G. Johannsen, S. Rajbhandari, Y. Jacques e J. Keizer. 2012. Thesaurus Maintenance, Alignment and Publication as Linked Data - The AGROVOC Use Case. International Journal of Metadata, Semantics and Ontologies.

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Prud'hommeaux, E., A. Seaborne. 2008. SPARQL Query Language for RDF. [Online]. Available: http://www.w3.org/TR/rdf-sparql-query/

Subirats, I., M. Zeng. 2012. Meaningful Bibliographic Metadata. [Online]. Available: http://aims.fao.org/metadata/m2b


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