A Linked Data Reasoner in the Cloud

Abstract

Abstract. Over the last decade, the paradigm of Linked Data has gained momentum. It is possible to leverage implicit knowledge from these data using a reasoner. Nevertheless, current methods for reasoning over linked data are well suited for small to medium datasets, and they fail at reaching the scale of the Web of Data. In this PhD thesis, we are interested in how distributed computing in the Cloud can help a linked data reasoner to scale. We present in this paper the early state of this thesis.