A knowledge base (KB) is a formal collection of knowledge about the world. In this paper, we explain how the YAGO KB is constructed. We also summarize our contributions to different aspects of KB management in general. One of these aspects is rule mining, i.e., the identification of patterns such as spouse(x,y) lives In(x,z) ⇒ lives In(y,z). Another aspect is the incompleteness of KBs. We propose to integrate data from Web Services into the KB in order to fill the gaps. Further, we show how the overlap between existing KBs can be used to align them, both in terms of instances and in terms of the schema. Finally, we show how KBs can be protected by watermarking. © 2014 Springer International Publishing Switzerland.
CITATION STYLE
Amarilli, A., Galárraga, L., Preda, N., & Suchanek, F. M. (2014). Recent topics of research around the YAGO knowledge base. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8709 LNCS, pp. 1–12). Springer Verlag. https://doi.org/10.1007/978-3-319-11116-2_1
Mendeley helps you to discover research relevant for your work.