updating documentation nav bar

Author: telmomenezes

docs/index.md

@@ -1,22 +1,23 @@
-# hyperbase
+# Hyperbase
+
 ## A foundational library for Semantic Hypergraphs
 
 !!! note
-    Read our publications and explore some use cases [here](pubs-cases.md).
+    [Read our publications and explore some use cases](pubs-cases.md).
 
-hyperbase is an Artificial Intelligence open-source software library and scientific research tool. Its aim is to facilitate automated meaning extraction and text understanding, as well as the exploration and inference of knowledge. It is part of [socsemics](https://socsemics.huma-num.fr/), a research project funded by the European Research Council and focused on the fragmentation in online public spaces.
+Hyperbase is an Artificial Intelligence open-source software library and scientific research tool. Its aim is to facilitate automated meaning extraction and text understanding, as well as the exploration and inference of knowledge. It is part of [socsemics](https://socsemics.huma-num.fr/), a research project funded by the European Research Council and focused on the fragmentation in online public spaces.
 
 The ambition of this project is not simply to contribute to advancing the state-of-the-art in AI, but principally to be an effective interdisciplinary research tool. More specifically, we are interested in advancing the possibilities of automated meaning extraction for research in fields such as Computational Social Sciences, Cognitive Science and the Humanities.
 
-hyperbase is built around a unifying concept: the *Semantic Hypergraph (SH)*, which makes it possible to represent a natural language sentence such as "Einstein first published the theory of relativity in 1905" as an ordered, recursive hyperlink of the form:
+Hyperbase is built around a unifying concept: the *Semantic Hypergraph (SH)*, which makes it possible to represent a natural language sentence such as "Einstein first published the theory of relativity in 1905" as an ordered, recursive hyperlink of the form:
 
 <figure markdown="span">
   ![Einstein first published the Theory of Relativity in 1905.](assets/images/hyperedge-blocks.png){ width="75%" }
 </figure>
 
-The aim of SH and hyperbase is to enable hybrid approaches, combining symbolic AI and statistical/connectionist Machine Learning methods. This is for two main reasons: to facilitate understandability and reproducibility for human researchers and to combine the strengths of both approaches.
+The aim of SH and Hyperbase is to enable hybrid approaches, combining symbolic AI and statistical/connectionist Machine Learning methods. This is for two main reasons: to facilitate understandability and reproducibility for human researchers and to combine the strengths of both approaches.
 
-hyperbase is written in Python, to both take advantage and facilitate integration with the rich environment of scientific libraries available in this language. It is released under the highly permissive MIT open source license.
+Hyperbase is written in Python, to both take advantage and facilitate integration with the rich environment of scientific libraries available in this language. It is released under the highly permissive MIT open source license.
 
 ## Funding
 

mkdocs.yml

@@ -1,4 +1,4 @@
-site_name: hyperbase
+site_name: Hyperbase
 site_description: A foundational library for Semantic Hypergraphs
 site_url: https://hyperquest.ai/hyperbase
 repo_url: https://github.com/hyperquest-hq/hyperbase
@@ -62,32 +62,18 @@ nav:
   - Tutorials:
     - tutorials/index.md
     - Parsing a Sentence: tutorials/parsing-a-sentence.md
-    - Hypergraph Operations: tutorials/hypergraph-operations.md
     - Conflict Networks: tutorials/conflicts.md
     - Parsing a Book: tutorials/parsing-a-book.md
     - Actors Making Claims: tutorials/claims.md
   - Manual:
     - manual/index.md
     - Overview: manual/overview.md
     - Notation: manual/notation.md
-    - Special Relations: manual/special-relations.md
-    - Hypergraph Operations: manual/hypergraph-operations.md
+    - Hyperedge Operations: manual/hyperedge-operations.md
     - Patterns: manual/patterns.md
     - Discovering Patterns: manual/discovering-patterns.md
     - Parsing: manual/parsing.md
-    - Readers: manual/readers.md
-    - Coreference Resolution: manual/corefs.md
-    - Meaning Extraction: manual/meaning.md
-    - Database Backends: manual/backends.md
-    - Notebooks & Visualizations: manual/notebooks.md
-    - CLI: manual/cli.md
-    - Internals:
-      - manual/internals/index.md
-      - Creating a Parser: manual/internals/create-parser.md
-      - Creating a Backend: manual/internals/create-backend.md
-    - API Reference: manual/api.md
   - Team: team.md
-  - Thanks: thanks.md
 
 extra_css:
   - assets/stylesheets/extra.css