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English Information

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Authors
# Name
1 Veronica dos Santos(vdsantos@inf.puc-rio.br)
2 Sergio Lifschitz(sergio@inf.puc-rio.br)

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Reference
# Reference
1 Bast, H., Buchhold, B., and Haussmann, E. (2016). Semantic search on text and knowl-edge bases.Foundations and Trends in Information Retrieval, 10(2-3):119–271
2 Bordes, A., Usunier, N., Garcia-Dur ́an, A., Weston, J., and Yakhnenko, O. (2013). Trans-lating embeddings for modeling multi-relational data. InNIPS’13, page 2787–2795.Curran Associates Inc.
3 Cudré-Mauroux, P. (2019). Semantic search. In Sakr, S. and Zomaya, A. Y., editors, Encyclopedia of Big Data Technologies. Springer.
4 Dosso, D. and Silvello, G. (2020). Search text to retrieve graphs: A scalable rdf keyword-based search system.IEEE Access, 8:14089–14111.
5 Ilievski, F., Garijo, D., Chalupsky, H., Divvala, N. T., Yao, Y., Rogers, C., Li, R., Liu, J.,Singh, A., Schwabe, D., and Szekely, P. (2020). Kgtk: A toolkit for large knowledgegraph manipulation and analysis. InISWC 2020, pages 278–293. Springer.
6 Manning, C. D., Raghavan, P., and Sch ̈utze, H. (2008). Introduction to Information Re-trieval. Cambridge University Press.
7 Nickel, M., Tresp, V., and Kriegel, H.-P. (2011). A three-way model for collective learningon multi-relational data. InICML’11, page 809–816, Madison, WI, USA. Omnipress.
8 Nielsen, F. ̊A., Mietchen, D., and Willighagen, E. (2017).Scholia, scientometrics and wikidata. InThe Semantic Web: ESWC 2017 Satellite Events, pages 237–259. Springer.
9 Shen, Z., Ma, H., and Wang, K. (2015). A Web-scale system for scientific knowledge exploration. ACL 2018, pages 87–92.
10 Trouillon, T., Dance, C. R., Gaussier, E., Welbl, J., Riedel, S., and Bouchard, G. (2017). Knowledge graph completion via complex tensor factorization. J. Mach. Learn. Res.,18(1):4735–4772.
11 Vrandecic, D. (2012). Wikidata: a new platform for collaborative data collection. In Mille, A., Gandon, F., Misselis, J., Rabinovich, M., and Staab, S., editors, WWW’2012, pages 1063–1064. ACM.
12 Wang, K., Shen, Z., Huang, C., Wu, C.-H., Eide, D., Dong, Y., Qian, J., Kanakia, A.,Chen, A., and Rogahn, R. (2019). A review of microsoft academic services for science of science studies. Frontiers in Big Data, 2:45.
13 Wang, Q., Mao, Z., Wang, B., and Guo, L. (2017). Knowledge graph embedding: Asurvey of approaches and applications. IEEE TKDE, 29(12):2724–2743.
14 Yang, B., Yih, W., He, X., Gao, J., and Deng, L. (2015). Embedding entities and relations for learning and inference in knowledge bases. In Bengio, Y. and LeCun, Y., editors,ICLR 2015