Update README.md

Author: phpp28

README.md

@@ -1,10 +1,15 @@
-![GitHub License](https://img.shields.io/github/license/Texttechnologylab/Unified-Dynamic-Annotation-Visualizer)
-![GitHub release (with filter)](https://img.shields.io/github/v/release/Texttechnologylab/Unified-Dynamic-Annotation-Visualizer)
-
-[![Conference](http://img.shields.io/badge/conference-LREC--2026-4b44ce.svg)]([https://2023.emnlp.org/](https://lrec2026.info/))
-[![Paper](http://img.shields.io/badge/paper-LREC--2026-fb44ce.svg)]([https://2023.emnlp.org/](https://lrec2026.info/))
-
-# Unified Dynamic Annotation Visualizer
+<div align="center">
+  <a href="/LICENSE"> <img src="https://img.shields.io/github/license/Texttechnologylab/Unified-Dynamic-Annotation-Visualizer"></a>
+  <a href="https://github.com/texttechnologylab/Unified-Dynamic-Annotation-Visualizer/releases"> <img src="https://img.shields.io/github/v/release/Texttechnologylab/Unified-Dynamic-Annotation-Visualizer"></a>
+  <a href="https://lrec2026.info/"> <img src="https://img.shields.io/badge/conference-LREC--2026-4b44ce.svg"></a>
+  <a href="https://lrec2026.info/"> <img src="https://img.shields.io/badge/paper-LREC--2026-fb44ce.svg"></a>
+</div>
+
+<div align="center">
+  <h1>Unified Dynamic Annotation Visualizer</h1>
+  <img height="200px" src="/src/main/resources/static/img/logo.png"/>
+  <hr/>
+</div>
 
 UDAV is designed to enable different disciplines to display their automatic pre-processing results in a schema-based and reproducible, dynamic and interactive way without the need to hard-code manual and user-defined visualizations for each new project.
 
@@ -16,36 +21,65 @@ UDAV is designed to enable different disciplines to display their automatic pre-
 ### Requirements
 
 - Java version 21 or higher
-
+  
 ### Usage
 
 1. Clone the repository:
 
-```
-git clone https://github.com/texttechnologylab/Unified-Dynamic-Annotation-Visualizer.git
-```
-
-2. Start the `App.java` file
-
-### Development
-
-For setting up UDAV in an development environment, refer to our [documentation](https://texttechnologylab.github.io/Unified-Dynamic-Annotation-Visualizer/).
+   ```
+   git clone https://github.com/texttechnologylab/Unified-Dynamic-Annotation-Visualizer.git
+   ```
+
+2. In the root folder, create an `.env` file that holds the following environment variables:
+
+   ```env
+   DB_URL=jdbc:postgresql://postgres:5432/udav
+   DB_USER=postgres
+   DB_PASS=postgres
+   DB_SCHEMA=public
+   DB_DIALECT=POSTGRES
+   # Batch size for database inserts (default: 5000)
+   # Higher = fewer DB roundtrips, more memory. Range: 1000-15000
+   DB_BATCH_SIZE=5000
+   # Max identifier length (PostgreSQL: 63, MySQL: 64, MSSQL: 128)
+   DB_MAX_IDENT=255
+   # Enable/disable DUUI importer
+   DUUI_IMPORTER=false
+   # Path to input files
+   DUUI_IMPORTER_PATH=/app/data/input
+   # File extension: .xmi (uncompressed) or .gz (gzip compressed)
+   DUUI_IMPORTER_FILE_ENDING=.xmi
+   # Number of parallel workers (default: 4, rule: 1 per CPU core)
+   DUUI_IMPORTER_WORKERS=4
+   # UIMA CAS pool size (default: 2×workers)
+   DUUI_IMPORTER_CAS_POOL_SIZE=8
+   # Optional: External TypeSystem XML file path (auto-detected from XMI if not set)
+   DUUI_IMPORTER_TYPE_SYSTEM_PATH=
+   PIPELINE_IMPORTER=true
+   PIPELINE_IMPORTER_FOLDER=/app/data/pipelines
+   PIPELINE_IMPORTER_REPLACE_IF_DIFFERENT=false
+   SROUCE_BUILDER=false
+   JAVA_OPTS=-Xmx2048m -Xms1024m
+   ```
+
+3. Run the File Importer to import the annotation data
+
+4. Start the `App.java` file
+
+> [!NOTE]
+> The webpage, by deafult, is reachable under: [http://localhost:8080](http://localhost:8080/). If you're looking for a small demo without creating it yourself, please check our [open demo](udav/demo).
 
 ## License
 
 This project is published under the AGPL-3.0 [license](/LICENSE).
 
-
 # Cite
 If you want to use the project please quote this as follows:
 
 Thiemo Dahmann, Julian Schneider, Philipp Stephan, Giuseppe Abrami and Alexander Mehler. 2026. "Towards the Generation and Application of Dynamic Web-Based Visualization of UIMA-based Annotations for Big-Data Corpora with the Help of Unified Dynamic Annotation Visualizer". Proceedings of the 15th International Conference on Language Resources and Evaluation (LREC 2026). _accepted_.
 
-
-
 ## BibTeX
-```
-
+```bib
 @inproceedings{Dahmann:et:al:2026,
   title     = {Towards the Generation and Application of Dynamic Web-Based Visualization
                of UIMA-based Annotations for Big-Data Corpora with the Help of
@@ -70,5 +104,4 @@ Thiemo Dahmann, Julian Schneider, Philipp Stephan, Giuseppe Abrami and Alexander
                the integration into existing big data frameworks.},
   note      = {accepted}
 }
-
 ```