Update README.md

Author: eliasgruenewald

README.md

@@ -22,3 +22,41 @@ Elias Grünewald
 
 ## License
 General Public License v3
+
+
+---
+
+# Research Agenda
+## Problem
+-   users have certain rights as transparency information but are not able to conceive them
+-   if data is transferred to multiple parties, the resulting network is not visible
+-   lack of transparency information describing representation format
+
+## Research questions
+-   how should a transparency representation format look like?
+-   how to automatically extract transparency information?
+-   how to extract data flow networks?
+
+## Sketched solution process
+1.  define transparency representation format
+2.  make use of existing corpora
+    -   **Privacy Policies** e.g. OPP-115 Corpus
+    -   **Transparency information key words or categories** list of
+        (sensitive) personal data terms such as name, birthday, bank
+        account details, picture, IP address…
+    -   **Third parties** list of top *N* companies, institutions
+3.  use NLP for semantics extraction (link each transparency key word to
+    third party e.g. by distance)
+4.  save *n*-tuples (incl. purpose, duration) to previously defined
+    representation format
+5.  visualize data flow networks
+
+## Implementation
+-   may extend Polisis framework
+-   transparency representation is defined as json example/schema
+-   make use of established NLP framework such as TensorFlow, PyTorch, Google Natural Language API, Amazon Comprehend
+-   common web technologies for visualization
+
+## Evaluation
+-   try unseen privacy policies for precision, recall, F1-score
+-   measure performance