M. Al-ghossein, T. Abdessalem, and A. Barré, Open data in the hotel industry: leveraging forthcoming events for hotel recommendation, J. of IT & Tourism, vol.20, issue.1-4, pp.191-216, 2018.

S. Szumlanski and F. Gomez, Automatically acquiring a semantic network of related concepts, Proceedings of the 19th ACM CIKM, pp.19-28, 2010.

J. Yin, X. Jiang, Z. Lu, L. Shang, H. Li et al., Neural generative question answering, Proceedings of IJCAI, pp.2972-2978, 2016.

B. Min, R. Grishman, L. Wan, C. Wang, and D. Gondek, Distant supervision for relation extraction with an incomplete knowledge base, Proceedings of NAACL-HLT, pp.777-782, 2013.

M. Nickel, L. Rosasco, and T. A. Poggio, Holographic embeddings of knowledge graphs, 2016.

A. Bordes, N. Usunier, A. García-durán, J. Weston, and O. Yakhnenko, Translating embeddings for modeling multi-relational data, NIPS, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00920777

H. Liu, Y. Wu, and Y. Yang, Analogical inference for multi-relational embeddings, Proceedings of ICML, pp.2168-2178, 2017.

A. García-durán, A. Bordes, N. Usunier, and Y. Grandvalet, Combining two and three-way embedding models for link prediction in knowledge bases, J. Artif. Intell. Res, vol.55, pp.715-742, 2016.

D. Q. Nguyen, An overview of embedding models of entities and relationships for knowledge base completion, CoRR, 2017.

T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean, Distributed representations of words and phrases and their compositionality, NIPS, 2013.

P. Ristoski and H. Paulheim, Rdf2vec: Rdf graph embeddings for data mining, Proceedings of ISWC, pp.498-514, 2016.

A. Grover and J. Leskovec, node2vec: Scalable feature learning for networks, ACM SIGKDD, 2016.

I. Hulpus, C. Hayes, M. Karnstedt, and D. Greene, Unsupervised graphbased topic labelling using dbpedia, Proceedings of WSDM, pp.465-474, 2013.

, Gensim implementation of word2vec, pp.2019-2027

, Paris musée collection website, pp.2019-2022