A user of a Semantic Web application may not trust its results because he may not understand how the application produces its results using distributed data and inferential capabilities. Explanation-aware Semantic Web applications provide explanations of their reasoning - explaining why an application has performed a given step or which information it has used to derive a new piece of information. However, providing too much and irrelevant information in explanations may overwhelm the users, especially the non-expert users. In this paper, we discuss an approach to explain reasoning over Linked Data. We introduce a vocabulary to describe justifications and we discuss how publishing justifications as Linked Data enables explaining reasoning over Linked Data. Finally, we discuss how to summarize explanations with relevant information taking into account user specified explanation filtering criterion.
