Usually the content of the dataset published as LOD is rather unknown and data publishers have to deal with the challenge of interlinking new knowledge with existing datasets. Although there exist tools to facilitate data interlinking, they use prior knowledge about the datasets to be interlinked. In this paper we present a framework to profile the quality of owl:sameAs property in the Linked Open Data cloud and automatically discover new similarity links giving a similarity score for all the instances without prior knowledge about the properties used. Experimental results demonstrate the usefulness and effectiveness of the framework to automatically generate new links between two or more similar instances.

Spahiu, B., Xie, C., Rula, A., Maurino, A., Cai, H. (2016). Profiling similarity links in Linked Open Data. In 32nd {IEEE} International Conference on Data Engineering Workshops, {ICDE} Workshops 2016, Helsinki, Finland, May 16-20, 2016 (pp.103-108). Institute of Electrical and Electronics Engineers Inc. [10.1109/ICDEW.2016.7495626].

Profiling similarity links in Linked Open Data

Spahiu, B;Rula, A;Maurino, A;
2016

Abstract

Usually the content of the dataset published as LOD is rather unknown and data publishers have to deal with the challenge of interlinking new knowledge with existing datasets. Although there exist tools to facilitate data interlinking, they use prior knowledge about the datasets to be interlinked. In this paper we present a framework to profile the quality of owl:sameAs property in the Linked Open Data cloud and automatically discover new similarity links giving a similarity score for all the instances without prior knowledge about the properties used. Experimental results demonstrate the usefulness and effectiveness of the framework to automatically generate new links between two or more similar instances.
paper
Linkage Quality
English
IEEE International Conference on Data Engineering Workshops, ICDEW 2016 16-20 May
2016
32nd {IEEE} International Conference on Data Engineering Workshops, {ICDE} Workshops 2016, Helsinki, Finland, May 16-20, 2016
9781509021086
2016
103
108
7495626
open
Spahiu, B., Xie, C., Rula, A., Maurino, A., Cai, H. (2016). Profiling similarity links in Linked Open Data. In 32nd {IEEE} International Conference on Data Engineering Workshops, {ICDE} Workshops 2016, Helsinki, Finland, May 16-20, 2016 (pp.103-108). Institute of Electrical and Electronics Engineers Inc. [10.1109/ICDEW.2016.7495626].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/118073
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