This Week in Neo4j: RDF, SPARQL, Pathfinder Algorithms, Graph Data Science, Predictive Analytics, and More

In this week’s featured article, Agustin Martinez presents a comprehensive overview of RDF (Resource Description Framework) and LPG (Labeled Property Graph) models. He describes the various elements that exist in both models, and reviews the languages used to model, ingest, query, and validate data. There are links to source materials throughout, so it can be used as a point of departure for further research.

To help expand your graph skills leading up to NODES 2022, expert practitioners are offering the Road to NODES workshops. In these free two-hour workshops, you can learn about Apache Hop, Graph EDA, Apache Arrow, healthcare analytics, and Neo4j graph database. Register.

Yolande Poirier

PS: Be sure to register for NODES 2022 soon. The 24-hour conference will be live, with local and international speakers sharing their expertise in your time zone. Register for free!

Ward Cunningham has served as CTO, Director, Fellow, Principal Engineer, and Inventor. He is best known for creating Wiki. He leads an open-source project rebuilding Wiki to solve more complex sharing situations addressing some of society’s toughest problems. He co-authored (with Bo Leuf) a book about wikis, “The Wiki Way,” and invented the Framework for Integrated Tests.

Ward founded movements in object-oriented, agile software, extreme programming, and pattern languages. His session at NODES 2022 is: Hypertext Super Collaborator. Don’t miss it: save your seat now!

You can also follow him on Twitter.

ANALYTICS: A Machine Learning Innovation in Predictive Analytics
Nicolas Rouyer demonstrates the predictive capabilities of Neo4j Graph Data Science on the CORA dataset of scientific publications to predict the category of a given research paper. Before diving into the demo, he presents a nicely structured introduction to the graph data science platform.
KNOWLEDGE GRAPH: The Future of Data Structures
In this post, Hugo Jiménez describes the RDF standard model and SPARQL protocol. He discusses the advantages of knowledge graphs in the areas of data portals, semantic information on websites, search, question answering, and knowledge exploration.
LIVE: Pathfinding Algorithms Using Neo4j

Mehul Gupta discusses pathfinding algorithms and their implementation using the Neo4j Graph Data Science library over SpiceJet’s (one of India’s biggest airlines) airline network in India.

LEARNING: What Is a Graph Database?

This article presents a useful overview of RDF (Resource Description Framework) and LPG (Labeled Property Graph) models. There are links to source materials throughout.

INDUSTRIAL STRENGTH: Combining Three Biochemical Datasets in a Graph Database

Tom Nijhof populates the knowledge graph created with chemical compounds and their synonyms in his previous blog with NCI-60 measurements. The NCI-60 Human Tumor Cell Lines Screen identifies and characterizes novel compounds with growth inhibition or killing of tumor cell lines.

GDS: Neo4J Graph Data Science With Verifiable Credential Data

Nis Jespersen creates a knowledge graph that clusters organizations based on the types of verifiable credentials they are connected to. He gets there by isolating the relevant data and running a community detection algorithm.

TWEET OF THE WEEK: @tlarsendataguy
Don’t forget to retweet if you like it!
… Of Special Interest

    • This slide deck gives an overview of Jennifer Reif’s presentation on building Java applications on Neo4j. Check it out!
    • Graphville is a graph educational platform for beginners learning the Neo4j graph database and Cypher. They just released a new Neo avatar, based on “The Matrix.”