Update app.py

app.py

@@ -36,6 +36,25 @@ st.markdown(
 )
 
 st.title("OntoLearner Benchmark – Ontology Metrics Dashboard")
+st.image(
+    "https://raw.githubusercontent.com/sciknoworg/OntoLearner/main/images/logo.png",
+    width=220
+)
+st.markdown("---")
+st.subheader("ℹ️ About OntoLearner")
+
+st.markdown(
+    """
+    **OntoLearner** is an automated ontology learning framework designed to extract, structure, and enrich knowledge from textual data. It provides a modular pipeline combining NLP, machine learning, and ontology engineering
+    principles to generate OWL ontologies with high interpretability and consistency.
+
+    **🔗 Useful Links**
+    - 📦 GitHub Repository: [sciknoworg/OntoLearner](https://github.com/sciknoworg/OntoLearner)
+    - 📚 Documentation: [ontolearner.readthedocs.io](https://ontolearner.readthedocs.io/)
+    
+    OntoLearner is developed and maintained by the **SciKnow Research Group**.
+    """
+)
 
 # =====================
 # LOAD DATA
@@ -89,8 +108,6 @@ slight_summary = summary[['mean', 'std', '25%', '50%', '75%', 'max']]
 st.dataframe(slight_summary, use_container_width=True)
 
 
-st.subheader("📊 Statistical Summary for All Metrics")
-
 # =====================
 # COMPLEXITY SCORE
 # =====================
@@ -218,3 +235,46 @@ plt.tight_layout(rect=[0, 0, 1, 1])
 st.pyplot(fig)
 
 st.write("\n\n")
+
+st.markdown(
+    """
+    ## 🔗 Useful Links
+    - 📦 GitHub Repository: [sciknoworg/OntoLearner](https://github.com/sciknoworg/OntoLearner)
+    - 📚 Documentation: [ontolearner.readthedocs.io](https://ontolearner.readthedocs.io/)
+    - 💡 Acknowledgements: OntoLearner is developed and maintained by the **SciKnow Research Group**.
+
+    Moreover:
+    
+    - If you encounter any issues or have questions, please submit them in the [GitHub issues tracker](https://github.com/sciknoworg/OntoLearner/issues).
+    - If you find this repository helpful or use OntoLearner in your work or research, feel free to cite our publication:
+
+    ```bibtex
+    @inproceedings{babaei2023llms4ol,
+      title={LLMs4OL: Large language models for ontology learning},
+      author={Babaei Giglou, Hamed and D’Souza, Jennifer and Auer, S{\"o}ren},
+      booktitle={International Semantic Web Conference},
+      pages={408--427},
+      year={2023},
+      organization={Springer}
+    }
+    ```
+    or:
+    ```bibtex
+    @software{babaei_giglou_2025_15399783,
+      author       = {Babaei Giglou, Hamed and D'Souza, Jennifer and Aioanei, Andrei and Mihindukulasooriya, Nandana and Auer, Sören},
+      title        = {OntoLearner: A Modular Python Library for Ontology Learning with LLMs},
+      month        = may,
+      year         = 2025,
+      publisher    = {Zenodo},
+      version      = {v1.3.0},
+      doi          = {10.5281/zenodo.15399783},
+      url          = {https://doi.org/10.5281/zenodo.15399783},
+    }
+    ```
+
+    ------------
+    
+    This OntoLearner is licensed under [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT).
+    """
+)
+