diff --git a/text/related/main.tex b/text/related/main.tex
index 68a37b6..fd94456 100644
--- a/text/related/main.tex
+++ b/text/related/main.tex
@@ -1,7 +1,7 @@
 \chapter{Related work}
 \label{ch:rel}
 
-\kat{Be sure to update this chapter with more recent works, after the survey was published.. Moreover, the introduction here must be updated, we are not talking about a survey anymore but for your thesis. This means that possibly you need to add a section about some general privacy techniques, which go beyond the continuous publication scenario.}
+\kat{Change the way you introduce the related work chapter; do not list a series of surveys. You should speak about the several directions for privacy preserving methods (and then citing the surveys if you want). Then, you should focus on the particular configuration that you are interested in (continual observation). Summarize what we will see in the next sections by  giving also the general structure of the chapter.}
 
 Since the domain of data privacy is vast, several surveys have already been published with different scopes.
 A group of surveys focuses on specific different families of privacy-preserving algorithms and techniques.
@@ -15,8 +15,12 @@ To name a few, Chow and Mokbel~\cite{chow2011trajectory} investigate privacy pro
 Finally, there are some surveys on application-specific privacy challenges.
 For example, Zhou et al.~\cite{zhou2008brief} have a focus on social networks, and Christin et al.~\cite{christin2011survey} give an outline of how privacy aspects are addressed in crowdsensing applications.
 
-In the following sections, we document works that deal with privacy under continuous data publishing covering diverse use cases.
-Such a documentation becomes very useful nowadays, due to the abundance of continuously user-generated data sets that could be analyzed and/or published in a privacy-preserving way, and the quick progress made in this research field.
+In this chapter, we document works that deal with privacy under continuous data publishing covering diverse use cases. 
+We present the works in the literature based on two levels of categorisation. First we group works w.r.t. whether they receive as input microdata or statistical data (see Section~\ref{subsec:data-categories} for the definitions). Then, we further group them into two subcategories, whether they are designed for the finite or infinite (see Section.~\ref{subsec:data-publishing}) observation setting.  \kat{continue}
+
+%Such a documentation becomes very useful nowadays, due to the abundance of continuously user-generated data sets that could be analyzed and/or published in a privacy-preserving way, and the quick progress made in this research field.
+
+\kat{The related work section of your thesis, should make a connection/comparison to your work. This means that you should position the works presented wrt  your problem and your solution if the problems are the same.  }
 
 \input{related/micro}
 \input{related/statistical}