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Proceedings/Recueil Des Communications Année : 2014

Proceedings of the Workshop on Linked Data for Knowledge Discovery (LD4KD 2014)

Nicolas Jay
Mathieu d'Aquin

Résumé

Linked Data have attracted a lot of attention from both developers and researchers in recent years, as the underlying technologies and principles provide new ways, following the Semantic Web standards, to overcome typical data management and consumption issues such as reliability, heterogeneity, provenance or completeness. Many areas of research have adopted these principles both for the management and dissemination of their own data and for the combined reuse of external data sources. However, the way in which Linked Data can be applicable and beneficial to the Knowledge Discovery in Databases (KDD) process is still not completely understood. The Linked Data 4 Knowledge Discovery workshop (LD4KD), co-located within the ECML/PKDD2014 conference in Nancy (France), explores the benefits of Linked Data for the very well established KDD field. Beyond addressing the traditional data management and consumption KDD issues from a Semantic Web perspective, the workshop aims at revealing new challenges that can emerge from joining the two fields
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Dates et versions

hal-01101149 , version 1 (07-01-2015)

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  • HAL Id : hal-01101149 , version 1

Citer

Nicolas Jay, Mathieu d'Aquin, Illaria Tiddi. Proceedings of the Workshop on Linked Data for Knowledge Discovery (LD4KD 2014): Proceedings of the 1st Workshop on Linked Data for Knowledge Discovery. Nicolas Jay; Illaria Tiddi; Mathieu D’Aquin. 1st Workshop on Linked Data for Knowledge Discovery, Sep 2014, Nancy, France. 1232 (3), ceur workshop proceedings, 2014, Linked Data for Knowledge Discovery, Proceedings of the 1st Workshop on Linked Data for Knowledge Discovery. ⟨hal-01101149⟩
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