Abstract
This extended abstract first introduces the problem of keyword search overRDF datasets. Then, it expands the discussion to cover the question of serendipitous search as a strategy to diversify answers. Finally, it briefly presents the entity relatedness problem, which refers to the problem of exploring an RDF dataset to discover and understand how two entities are connected.
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Acknowledgments
This work was partly funded by grants CAPES/88881.134081/2016-01, CNPq/302303/2017-0, and FAPERJ/E-26-202.818/2017. The author gratefully acknowledges Altigran Silva, for his inspiring work, and the contributions to the research reported here of Bernardo Nunes, Luiz André Paes Leme, Antonio Furtado, Grettel GarcÃa, Yenier Izquierdo, Elisa Menendez, José Herrera, Jerônimo Eichler, and Ângelo Neves.
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Casanova, M.A. (2019). Keyword Search over RDF Datasets. In: Laender, A., Pernici, B., Lim, EP., de Oliveira, J. (eds) Conceptual Modeling. ER 2019. Lecture Notes in Computer Science(), vol 11788. Springer, Cham. https://doi.org/10.1007/978-3-030-33223-5_2
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