Recent Topics of Research around the YAGO Knowledge Base

Antoine Amarilli (1, 2) , Luis Galárraga (1, 2) , Nicoleta Preda (3) , Fabian M. Suchanek (1, 2)

1 DIG - Data, Intelligence and Graphs
2 INFRES - Département Informatique et Réseaux
3 LTCI - Laboratoire Traitement et Communication de l'Information

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) ∧ livesIn(x,z) ⇒livesIn(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.

Domains: Web

Antoine Amarilli, Luis Galárraga, Nicoleta Preda, Fabian M. Suchanek. Recent Topics of Research around the YAGO Knowledge Base. Asia-Pacific Web Conference (APWEB), Sep 2014, Changsha, China. pp.1-12. ⟨hal-01190642⟩