Towards SPARQL-Based Induction for Large-Scale RDF Data Sets

S. Bin, L. Bühmann, J. Lehmann, A.-C. Ngonga Ngomo, in: G. A. Kaminka, M. Fox, P. Bouquet, E. Hüllermeier, V. Dignum, F. Dignum, F. van Harmelen (Eds.), {ECAI} 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence {(PAIS} 2016), {IOS} Press, 2016, pp. 1551–1552.

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Conference Paper | English
Author
Bin, Simon; Bühmann, Lorenz; Lehmann, Jens; Ngonga Ngomo, Axel-CyrilleLibreCat
Editor
A. Kaminka, Gal; Fox, Maria; Bouquet, Paolo; Hüllermeier, Eyke; Dignum, Virginia; Dignum, Frank; van Harmelen, Frank
Publishing Year
Proceedings Title
{ECAI} 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence {(PAIS} 2016)
Volume
285
Page
1551-1552
LibreCat-ID

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Bin S, Bühmann L, Lehmann J, Ngonga Ngomo A-C. Towards SPARQL-Based Induction for Large-Scale RDF Data Sets. In: A. Kaminka G, Fox M, Bouquet P, et al., eds. {ECAI} 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence {(PAIS} 2016). Vol 285. Frontiers in Artificial Intelligence and Applications. {IOS} Press; 2016:1551-1552. doi:10.3233/978-1-61499-672-9-1551
Bin, S., Bühmann, L., Lehmann, J., & Ngonga Ngomo, A.-C. (2016). Towards SPARQL-Based Induction for Large-Scale RDF Data Sets. In G. A. Kaminka, M. Fox, P. Bouquet, E. Hüllermeier, V. Dignum, F. Dignum, & F. van Harmelen (Eds.), {ECAI} 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence {(PAIS} 2016) (Vol. 285, pp. 1551–1552). {IOS} Press. https://doi.org/10.3233/978-1-61499-672-9-1551
@inproceedings{Bin_Bühmann_Lehmann_Ngonga Ngomo_2016, series={Frontiers in Artificial Intelligence and Applications}, title={Towards SPARQL-Based Induction for Large-Scale RDF Data Sets}, volume={285}, DOI={10.3233/978-1-61499-672-9-1551}, booktitle={{ECAI} 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence {(PAIS} 2016)}, publisher={{IOS} Press}, author={Bin, Simon and Bühmann, Lorenz and Lehmann, Jens and Ngonga Ngomo, Axel-Cyrille}, editor={A. Kaminka, Gal and Fox, Maria and Bouquet, Paolo and Hüllermeier, Eyke and Dignum, Virginia and Dignum, Frank and van Harmelen, Frank}, year={2016}, pages={1551–1552}, collection={Frontiers in Artificial Intelligence and Applications} }
Bin, Simon, Lorenz Bühmann, Jens Lehmann, and Axel-Cyrille Ngonga Ngomo. “Towards SPARQL-Based Induction for Large-Scale RDF Data Sets.” In {ECAI} 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence {(PAIS} 2016), edited by Gal A. Kaminka, Maria Fox, Paolo Bouquet, Eyke Hüllermeier, Virginia Dignum, Frank Dignum, and Frank van Harmelen, 285:1551–52. Frontiers in Artificial Intelligence and Applications. {IOS} Press, 2016. https://doi.org/10.3233/978-1-61499-672-9-1551.
S. Bin, L. Bühmann, J. Lehmann, and A.-C. Ngonga Ngomo, “Towards SPARQL-Based Induction for Large-Scale RDF Data Sets,” in {ECAI} 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence {(PAIS} 2016), 2016, vol. 285, pp. 1551–1552, doi: 10.3233/978-1-61499-672-9-1551.
Bin, Simon, et al. “Towards SPARQL-Based Induction for Large-Scale RDF Data Sets.” {ECAI} 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence {(PAIS} 2016), edited by Gal A. Kaminka et al., vol. 285, {IOS} Press, 2016, pp. 1551–52, doi:10.3233/978-1-61499-672-9-1551.

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