Update readme

Readme.md

 # Dodis
-This app gets all the links from dodis and extracts the fetched resources.  
+This app gets all the geographical items from [dodis](https://dodis.ch) and extracts the fetched resources to kafka.  
 
-## Sitemap
-The first step is to generate a sitemap. The links are published to magpie.
-## Extractor
-The extractor takes the fetched resource from magpie and normalized the data frrom dodis. The result is published to geolinker topic
+## SitemapReader
+The SitemapReader (node stream readable) generates a list of geographical entities in dodis. 
+
+## DodisNormalizerTransformer
+The normalizer takes the fetched resource from the SitemapReader and normalized the data. The result is published to geolinker topic in kafka
 ## Docker
-To build the image use following command. The image will fetch data from a wikidata topic and streams the result back into kafka. The container based on linux alpine. 
+To build the image use following command. The container based on the [histub/ node-kafka-docker-base](https://source.dodis.ch/histhub/node-kafka-docker-base). 
 ```bash
-docker build -t source.dodis.ch:4577/histhub/wikidata-normalizer .
+docker build -t source.dodis.ch:4577/histhub/dodis .
 # Upload to the registry
-docker push source.dodis.ch:4577/histhub/wikidata-normalizer
+docker push source.dodis.ch:4577/histhub/dodis
 ```
 ## CD
 We hav a build pipline in gitlab. So manually building of the image is not longer necessary. 
 ## Deploy to k8
-We execute a job on k8 to stream the dump into kafka
-```bash
-kubectl create -f wikidata-normalizer-deployment.yaml
-```
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+This streming app is part of the [data helm chart](https://source.dodis.ch/histhub/charts/tree/master/charts/data).