Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/jbarrasa/goingmeta

code and resources used in the Going Meta sessions
https://github.com/jbarrasa/goingmeta

graph-data-science integration knowledge-graph ontologies semantics

Last synced: about 2 hours ago
JSON representation

code and resources used in the Going Meta sessions

Awesome Lists containing this project

README 

        
# GoingMeta



We run the live streams on the **first Tuesday of each month**.

(4pm BST, 11am ET, 8am PT, 3pm CEST, 8:30pm IST) 

Streaming on Twitch and Youtube Live.



We will use this repo to share all resources used in the sessions. Give them a try and give us your feedback!



## SEASON 1



### 2022 sessions



| #  | broadcast | title |tags| recording  | code |

|---:|:-----:| -----:|:---------:|:--------------------------:|:---:|

| 1  | Feb 1 | Cypher and SPARQL on the British Library catalog |`Cypher` `SPARQL`| [📺](https://www.youtube.com/watch?v=NQqWBnyQlS4) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session1) |

| 2  | Mar 1 | Semantic search. A worked example |`n10s` `Cypher` `Wikidata`| [📺](https://www.youtube.com/watch?v=y6eCKIRsA64) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session2) |

| 3  | Apr 5 | Controlling the shape of your graph with SHACL |`data quality` `SHACL` `n10s`| [📺](https://youtu.be/Zkgu7YauOfs?t=693) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session3) |

| 4  | May 3 | Ontology based reasoning 101 |`Ontologies` `Inference` `Cypher`| [📺](https://www.youtube.com/watch?v=XX7Ppc5T0GE) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session4) |

| 5  | Jun 13 | Ontology-driven Knowledge Graph construction |`Ontologies` `Python` `ETL`| [📺](https://www.youtube.com/watch?v=05Wkg1p34ek) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session5) |

| 6  | Jul 5 | Ontology learning from graph data |`Graph Algos` `ML` `Ontologies`| [📺](https://www.youtube.com/watch?v=fpt-OsGOzmo&t=1060s) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session6) |

| 7  | Aug 2 | Generating natural language from your KG by annotating ontologies |`NL` `Ontologies` `Cypher`| [📺](https://youtu.be/Y_IygO4MOqc?t=445) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session7) |

| 8  | Sep 6 | Common RDF integration patterns |`Cypher` `JSON-LD` `SPARQL`| [📺](https://www.youtube.com/watch?v=iCrdR86AorU) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session8) |

| 9  | Oct 4 | Unsupervised KG construction. Graph Observability |`Orchestration` `Prefect` `Wikidata`| [📺](https://www.youtube.com/watch?v=YVaj2LEqDn0) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session9) |

| 10  | Nov 1 | SPARQL based integrations |`DBPedia` `Cypher` `SPARQL`| [📺](https://www.youtube.com/watch?v=nG62SzxOBJc) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session10) |

| 11  | Dec 6 | Graph data quality with graph expectations |`Python` `Data Quality` `SHACL`| [📺](https://www.youtube.com/watch?v=JrBOvdVkjU4) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session11) |



### 2023 sessions



| #  | broadcast | title |tags| recording  | code |

|---:|:-----:| -----:|:---------:|:--------------------------:|:---:|

| 12  | Jan 16 | Importing RDF data into AuraDB with Python and RDFLib |`Python` `RDFLib` `AuraDB`| [📺](https://youtu.be/DWINSvRxIbw?t=927) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session12) |

| 13  | Feb 9 | Creating (and RDF-izing) virtual graphs over external data |`SQL` `APOC` `RDF` `Python`| [📺](https://www.youtube.com/watch?v=FoHAyBhcH4s) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session13) |

| 14  | Mar 7 | Taxonomy reconciliation |`RDF` `SPARQL` `Cypher`| [📺](https://www.youtube.com/watch?v=Aurp3eztRHM) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session14) |

| 15  | Apr 5 | Building a Semantic Data App with Streamlit |`Python` `Ontology` `Streamlit` `Protege`| [📺](https://www.youtube.com/watch?v=m7kg33OsI_A) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session15) |

| 16  | May 2 | Semantic Similarity Metrics in Taxonomies |`Python` `NLTK` `Semantics` `Taxonomy`| [📺](https://www.youtube.com/watch?v=WwTxlyjY35I) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session16) |

| 17  | June 1 | RDF-ing between OpenAI and Neo4j |`OpenAI` `Generative AI` `APOC` `RDF`| [📺](https://www.youtube.com/watch?v=w-PwMyzokSw) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session17) |

| 18  | July 4 | Easy Full-Graph Migrations from Triple Stores to Neo4j |`Python` `RDF` `Migration` `Triple Store`| [📺](https://www.youtube.com/watch?v=9DDdFKVvZQc) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session18) |

| 19  | Aug 1 | Ontology Versioning in Neo4j |`Python` `Ontologies` `Protege`| [📺](https://www.youtube.com/watch?v=xK_07cqKwMk) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session19) |

| 20  | Sep 12 | Going Meta: A recap |`All`| [📺](https://www.youtube.com/watch?v=Tx1zCnlc0_g) | [💻]([https://github.com/jbarrasa/goingmeta/tree/main/session19](https://medium.com/neo4j/20-episodes-of-going-meta-a-recap-5a0ccd689c6c)) |

| 21  | Oct 6 | Vector-based and Graph-based semantic search |`Cypher` `Ontologies` `Embeddings`| [📺](https://www.youtube.com/watch?v=bRD09ndyJNs) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session21) |

| 22  | Nov 7 | RAG with Knowledge Graphs  |`LLM` `Semantic Search` `Python` `Vector Index`| [📺](https://www.youtube.com/watch?v=9DxwgIKVSHY) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session22) |

| 23  | Dec 6 | Advanced RAG patterns with Knowledge Graphs  |`LLM` `Semantic Search` `Python` `Vector Index` `Streamlit`| [📺](https://www.youtube.com/watch?v=E_JO4-2D5Xs) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session23) |



### 2024 sessions



| #  | broadcast | title |tags| recording  | code |

|---:|:-----:| -----:|:---------:|:--------------------------:|:---:|

| 24  | Jan 4 | KG+LLM: Ontology-driven RAG patterns |`Python` `Ontology` `Langchain` `Vector Index` `Cypher`| [📺](https://www.youtube.com/watch?v=5_WXr0GtVas) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session24) |

| 25  | Feb 5 | LLMs for automated KG construction | `LLM` `Python` `OpenAI` `CompletionsAPI` `Kaggle` `Modelling`| [📺](https://www.youtube.com/watch?v=ViHV16ly-qs) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session25) |

| 26  | Mar 5 | Unpicking the data.world Benchmark on the Role of KGs in LLM QA over relational data|`Benchmark` `SPARQL` `OWL` `LLM` `Python` `R2RML` `Semantic Layer` | [📺](https://www.youtube.com/watch?v=ReRH53amZ4M) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session26) |

| 27  | Apr 2 | Building a Reflection Agent with LangGraph |`LangChain` `LangGraph` `Python` `LLM` `Modelling` | [📺](https://www.youtube.com/watch?v=Sra-1xhNn28) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session27) |



## SEASON 2



### 2024 sessions



| #  | broadcast | title |tags| recording  | code |

|---:|:-----:| -----:|:---------:|:--------------------------:|:---:|

| 1  | Sep 3 | Using Ontologies to Guide Knowledge Graph Creation from Unstructured Data (no code) |`LLM` `Ontology` `Knowledge Garph Builder` `Cypher` `SHACL`| [📺](https://www.youtube.com/watch?v=RYuw4oq0G84) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session28) |

| 2  | Oct 1 | Using Ontologies to Guide KG Creation from Unstructured Data (through code) |`LLM` `Ontology` `Python` `Cypher` `RDFLib`| [📺](https://www.youtube.com/watch?v=rde3ak_H70Y) | [💻](https://github.com/jbarrasa/goingmeta/tree/main/session29) |

| 3  | Nov 5 | TBD | | [📺](#) | [💻](#) |