Update README.md

Author: LorenzBuehmann

README.md

@@ -15,34 +15,13 @@ Contains the core Inference API based on Apache Flink.
 ### sansa-inference-tests
 Contains common test classes and data.
 
-## Usage
-```
-RDFGraphMaterializer 0.1.0
-Usage: RDFGraphMaterializer [options]
- 
- 
-  -i <file> | --input <file>
-        the input file in N-Triple format
-  -o <directory> | --out <directory>
-        the output directory
-  --single-file
-        write the output to a single file in the output directory
-  --sorted
-        sorted output of the triples (per file)
-  -p {rdfs | owl-horst} | --profile {rdfs | owl-horst}
-        the reasoning profile
-  --help
-        prints this usage text
-```
-### Example
-
-`RDFGraphMaterializer -i /PATH/TO/FILE/test.nt -o /PATH/TO/TEST_OUTPUT_DIRECTORY/ -p rdfs` will compute the RDFS materialization on the data contained in `test.nt` and write the inferred RDF graph to the given directory `TEST_OUTPUT_DIRECTORY`.
 
+## Setup
 ### From source
 
 To install the SANSA Inference API, you need to download it via Git and install it via Maven.
 
-git clone https://github.com/AKSW/SANSA-Inference.git
+git clone https://github.com/SANSA-Stack/SANSA-Inference.git
 cd SNASA-Inference
 mvn clean install
 Afterwards, you have to add the dependency to your pom.xml
@@ -63,3 +42,72 @@ For Apache Flink
   <version>0.1.0-SNAPSHOT</version>
 </dependency>
 ```
+Using Maven pre-build artifacts
+
+1. Add AKSW Maven repository to your pom.xml (will be added to Maven Central soon)
+```xml
+<repository>
+  <id>maven.aksw.snapshots</id>
+  <name>University Leipzig, AKSW Maven2 Repository</name>
+  <url>http://maven.aksw.org/archiva/repository/snapshots</url>
+  <releases>
+				<enabled>false</enabled>
+			</releases>
+			<snapshots>
+				<enabled>true</enabled>
+			</snapshots>
+</repository>
+
+<repository>
+  <id>maven.aksw.internal</id>
+  <name>University Leipzig, AKSW Maven2 Internal Repository</name>
+  <url>http://maven.aksw.org/archiva/repository/internal</url>
+  <releases>
+				<enabled>true</enabled>
+			</releases>
+			<snapshots>
+				<enabled>false</enabled>
+			</snapshots>
+</repository>
+```
+2. Add dependency to your pom.xml
+
+For Apache Spark
+```xml
+<dependency>
+  <groupId>net.sansa-stack</groupId>
+  <artifactId>sansa-inference-spark</artifactId>
+  <version>0.1.0-SNAPSHOT</version>
+</dependency>
+```
+For Apache Flink
+```xml
+<dependency>
+  <groupId>net.sansa-stack</groupId>
+  <artifactId>sansa-inference-flink</artifactId>
+  <version>0.1.0-SNAPSHOT</version>
+</dependency>
+```
+
+## Usage
+```
+RDFGraphMaterializer 0.1.0
+Usage: RDFGraphMaterializer [options]
+ 
+ 
+  -i <file> | --input <file>
+        the input file in N-Triple format
+  -o <directory> | --out <directory>
+        the output directory
+  --single-file
+        write the output to a single file in the output directory
+  --sorted
+        sorted output of the triples (per file)
+  -p {rdfs | owl-horst} | --profile {rdfs | owl-horst}
+        the reasoning profile
+  --help
+        prints this usage text
+```
+### Example
+
+`RDFGraphMaterializer -i /PATH/TO/FILE/test.nt -o /PATH/TO/TEST_OUTPUT_DIRECTORY/ -p rdfs` will compute the RDFS materialization on the data contained in `test.nt` and write the inferred RDF graph to the given directory `TEST_OUTPUT_DIRECTORY`.