Achieving semantic interoperability is a difficult problem with a lot of challenges yet to address. Some of them include matching large-scale data sets, tackling the problem of missing background knowledge, evaluating large scale results, tuning the matching process and doing all of the above in a realistic setting with resource and time constraints. In this paper we report the results of a large-scale matching experiment performed on domain-specific resources: two agricultural thesauri. We share the experience concerning the above mentioned aspects of semantic matching, discuss the results, draw conclusions and outline perspective directions of future work.

Large Scale Semantic Matching: Agrovoc vs CABI / Autayeu, Aliaksandr. - ELETTRONICO. - (2011), pp. 1-11.

Large Scale Semantic Matching: Agrovoc vs CABI

Autayeu, Aliaksandr
2011-01-01

Abstract

Achieving semantic interoperability is a difficult problem with a lot of challenges yet to address. Some of them include matching large-scale data sets, tackling the problem of missing background knowledge, evaluating large scale results, tuning the matching process and doing all of the above in a realistic setting with resource and time constraints. In this paper we report the results of a large-scale matching experiment performed on domain-specific resources: two agricultural thesauri. We share the experience concerning the above mentioned aspects of semantic matching, discuss the results, draw conclusions and outline perspective directions of future work.
2011
Trento
Università degli Studi di Trento, Dipartimento di Ingegneria e Scienza dell'Informazione
Large Scale Semantic Matching: Agrovoc vs CABI / Autayeu, Aliaksandr. - ELETTRONICO. - (2011), pp. 1-11.
Autayeu, Aliaksandr
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/359515
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