SBBD

Paper Registration

1

Select Book

2

Select Paper

3

Fill in paper information

4

Congratulations

Fill in your paper information

English Information

(*) To change the order drag the item to the new position.

Authors
# Name
1 Rafael Neves da Silveira(rafa.ns@ime.eb.br)
2 Maria Cláudia Cavalcanti(yoko@ime.eb.br)

(*) To change the order drag the item to the new position.

Reference
# Reference
1 Ahmed, A. F., Sherif, M. A., and Ngomo, A.-C. N. (2019). Lsvs: Link specification verbalization and summarization. In ICANLIS, pages 66–78. Springer.
2 Assaf, A., Troncy, R., and Senart, A. (2015). What’s up lod cloud? In ESWC, pages 247–254. Springer.
3 Athanasiou, S., Giannopoulos, G., Graux, D., Karagiannakis, N., Lehmann, J., Ngomo, A.-C. N., Patroumpas, K., Sherif, M. A., and Skoutas, D. (2019). Big poi data integration with linked data technologies. In EDBT, pages 477–488.
4 Berners-Lee, T., Hendler, J., and Lassila, O. (2001). The semantic web. Scientific american, 284(5):34–43.
5 Bizer, C., Volz, J., Kobilarov, G., and Gaedke, M. (2009). Silk-a link discovery framework for the web of data. In 18th International World Wide Web Conference, volume 122.
6 Collovini, S., Gonc¸alves, P. N., Cavalheiro, G., Santos, J., and Vieira, R. (2020). Relation extraction for competitive intelligence. In PROPOR, pages 249–258. Springer.
7 de Oliveira, F. A., Costa, R., Goldschmidt, R., and Cavalcanti, M. (2019). Multirelation association rule mining on datasets of the web of data. In SBSI 2019, page 61. ACM.
8 de Oliveira, F. A., Martins, Y. C., Rocha, D. S., de Siqueira, M. F., da Silva, L. A. E., Costa, R. L., Goldschmidt, R. R., and Cavalcanti, M. C. (2017). Jabotg: Extending the herbarium dataset frontiers. In MTSR 2017, pages 45–53.
9 Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2018). Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint.
10 Han, X., Gao, T., Yao, Y., Ye, D., Liu, Z., and Sun, M. (2019). Opennre: An open and extensible toolkit for neural relation extraction. In EMNLP-IJCNLP, pages 169–174.
11 Hebeler, J., Fisher, M., Blace, R., and Perez-Lopez, A. (2011). Semantic web programming. John Wiley & Sons.
12 Horrocks, I. (2008). Ontologies and the semantic web. Comm of the ACM, 51(12):58–67.
13 Nentwig, M., Hartung, M., Ngonga Ngomo, A.-C., and Rahm, E. (2017). A survey of current link discovery frameworks. Semantic Web, 8(3):419–436.
14 Ngomo, A.-C. N. and Auer, S. (2011). Limes—a time-efficient approach for large-scale link discovery on the web of data. In IJCAI-11.
15 Paris, P.-H. (2018). Assessing the quality of owl: sameas links. In ESWC, pages 304–313. Springer.
16 Ramezani, R., Saraee, M., Nematbakhsh, M. A., et al. (2014). Mrar: mining multi-relation association rules. Journal of Computing and Security, 1(2):133–158.
17 Schmachtenberg, M., Bizer, C., and Paulheim, H. (2014). Adoption of the linked data best practices in different topical domains. In ISWC, pages 245–260. Springer.
18 Sherif, M. A., Ngomo, A.-C. N., and Lehmann, J. (2015). Automating rdf dataset transformation and enrichment. In ESWC, pages 371–387. Springer.
19 Studer, R., Benjamins, V. R., and Fensel, D. (1998). Knowledge engineering: principles and methods. Data & knowledge engineering, 25(1-2):161–197.
20 Yu, L. (2014). A developer’s guide to the SW. Springer Science & Business Media.
21 Laufer, C. (2015). Guia de web semântica. Gov. do Estado de SP e Gov. do Reino Unido.
22 Vandenbussche, P.-Y., Atemezing, G. A., Poveda-Villalón, M., and Vatant, B. (2017). Linked open vocabularies (lov): a gateway to reusable semantic vocabularies on the web. Semantic Web, 8(3):437–452.