Thesaurus alignment for Linked Data publishing

Morshed, Ahsan, Caracciolo, Caterina, Johannsen, Gudrun and Keizer, Johannes Thesaurus alignment for Linked Data publishing., 2011 . In Dublin Core and Metadata Applications 2011, The Hague (Netherlands), 21-23 December 2011. [Conference paper]

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English abstract

As part of the publication of the AGROVOC thesaurus as Linked Data (LD), AGROVOC is now mapped with six well-known thesauri in the agricultural domain, i.e., EUROVOC, NALT, GEMET, STW, TheSoz, RAMAEU. To find matching candidates, known matching algorithms discussed in the literature and available from public API were used. Results were evaluated by a domain expert, and almost total precision obtained. The candidate matches that were confirmed have already been added to the LD version of AGROVOC. Moreover, the owners of two of the thesauri mapped with AGROVOC have included in their data the mapping we identified. From this work, we conclude that we achieved our goal to enhance the Linked Data version of AGROVOC with reliable links to other thesauri, following a procedure that is fully replicable.

Item type:	Conference paper
Keywords:	Ontology Mapping, SKOS, Thesauri, Vocabularies, AGROVOC, Linked Data, FAO, AIMS, FAOAIMS
Subjects:	I. Information treatment for information services > IC. Index languages, processes and schemes. I. Information treatment for information services > ID. Knowledge representation.
Depositing user:	Thembani Malapela
Date deposited:	08 Jan 2014 14:01
Last modified:	02 Oct 2014 12:29
URI:	http://hdl.handle.net/10760/21106

References

Aleksovski, Z., Klein, M., ten Kate, W., van Harmelen, F.(2006). Matching unstructured vocabulariesusing a background ontology. In: Proceedings of Knowledge Engineering and KnowledgeManagement (EKAW).

Araujo, S., Houben, G.-J., Schwabe, D., Hidders, J.(2011). Fusion

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