Update README.md

README.md

@@ -118,6 +118,74 @@ The system is modular, consisting of several Python components:
 - **Visualization: Customize graph appearance in src/visualization/plotting.py.**
 - **Data Storage: Modify src/data_management/storage.py to use different formats or databases.**
 
+  ## 🚧 Limitations
+
+- **Language**  
+  Optimized for English. Performance may degrade significantly on other languages.
+
+- **Domain Specificity**  
+  Achieves best results in AI/ML domains. Adaptation (e.g., domain-specific rules or keywords) is required for other fields.
+
+- **PDF Quality**  
+  Heavily reliant on clean text extraction. Scanned PDFs, complex layouts, or poor OCR significantly reduce accuracy.
+
+- **Scalability**  
+  Processing very large corpora (e.g., >10,000 papers) may require significant computational resources or distributed infrastructure.
+
+- **Relationship Nuance**  
+  Relationships are extracted based on co-occurrence and semantic similarity. Logical or causal connections may not be captured.
+
+- **Temporal Accuracy**  
+  Depends on accurate publication date extraction from metadata or filenames. Errors may affect timeline analysis.
+
+- **Visualization Clutter**  
+  Interactive graph visualizations become cluttered and less interpretable when node count exceeds ~1000.
+
+---
+
+## 🌱 Future Work
+
+- **Multi-language Support**  
+  Integration of multilingual NLP models to support non-English documents.
+
+- **Citation Integration**  
+  Incorporating citation links and citation graph data into network analysis.
+
+- **ML-based Extraction**  
+  Training supervised or semi-supervised models to improve concept and relation extraction quality.
+
+- **Advanced Visualizations**  
+  Implementation of timeline views, dashboards, and alternative graph layouts (e.g., hierarchical, clustered).
+
+- **Improved Temporal Modeling**  
+  Use of advanced time-series techniques to detect emerging trends and historical shifts.
+
+- **Web Interface**  
+  A user-friendly UI for uploading documents, viewing visualizations, and downloading results.
+
+- **Knowledge Graph Export**  
+  Export capabilities for standard knowledge graph formats like RDF, OWL, or JSON-LD.
+
+- **Concept Disambiguation**  
+  Methods to differentiate between identically named but contextually distinct concepts.
+
+---
+
+## 📋 Citation
+
+If you use **ChronoSense** in your research or projects, please cite the following:
+
+```bibtex
+@software{chronosense2025,
+  author    = {Abdullah Kocaman (Zayn)},
+  title     = {ChronoSense: Scientific Concept Analysis and Visualization System},
+  year      = {2025},
+  version   = {1.0},
+  url       = {https://huggingface.co/NextGenC/ChronoSense},
+  note      = {A system for extracting, analyzing, and visualizing concepts and trends from scientific documents using NLP and Network Analysis}
+}
+
+
 ## 📁 Project Structure
 
 ```bash