Popular use cases for graph data

[draggett]

The aim of making RDF easier for the next 33% of developers begs the question of what are the popular application use cases for graph data (as a generalisation of RDF)? Here are some examples taken from graph database vendor websites.

Neo4J: • Recommendation engines for e-commerce • Network and database monitoring • Fraud detection and analytics • Social media and social networks • Knowledge graphs for enhanced search services • Identity and access management • Privacy, risk and compliance • Master data management • Artificial Intelligence and analytics

Amazon Neptune: • Network/IT operations • Social networking • Recommendation engines • Fraud detection • Knowledge graphs • Life sciences

I am sure that this is just a few examples from a much much larger set. How can we reach out and gather information on use cases across different sectors, and the associated challenges facing application developers where new standards would help?

[maximveksler]

Cross linking https://github.com/semantalytics/awesome-semantic-web/issues/32

[VladimirAlexiev]

• Intelligence/security (eg Palantir)
• Science knowledge graphs: for keeping the scientific record organized, for FAIR data and research, for open research, for new ways of tracking and analyzing the ever-exploding patent and publications domain, for recommendations, bibliometric analysis, etc (eg Microsoft Academic Graph, a great resource)
• Industry 4.0: complex engineering artefacts, maintenance info, parts databases (eg International Data Space, several auto makers, etc)
• Sensors
• Web of Things

[VladimirAlexiev]

http://sps.columbia.edu/executive-education/knowledge-graph-conference Storing and Querying Knowledge Graphs Formats and Languages Metadata, Schemas, Ontologies, and Taxonomies Data Governance Data Quality Linked-data Master Data Management Knowledge Graphs for AI Natural Language Processing Understanding Knowledge Graph Embeddings Visualization Search and Answer Engine Optimization Applications in Healthcare, Finance, Media, and Open Data

https://www.eventbrite.com/e/2019-knowledge-graph-conference-tickets-54867900367 Knowlede Graphs everywhere:

• Digital Commerce Airbnb - Knowledge Graph at Airbnb Amazon - Deep Learning for Knowledge Extraction and Integration to build the Amazon Product Graph Uber - Building an Enterprise Knowledge Graph at Uber: Lessons from Reality Pitney Bowes (Single View Solutions) - Intelligent Customer Service Using Knowledge Graphs

• Financial Services Causality Link - A Perspective on the Reasoning Power of Knowledge Graphs Capital One - Knowledge Graph Pilot Provides Value Goldman Sachs - Pythia: the Goldman Sachs Social Graph TigerGraph - Analyzing Time-varying Transitive Risk in Swap Networks using Graphs Refinitiv Financial - Practical Use Cases and Challenges to Implement Graphs in Financial Services: Combating Financial Crime Wells Fargo - Knowledge Graphs and AI: The Future of Financial Data

• Health Care, Government, Supply Chain, Libraries AstraZeneca - Fair Data Knowledge Graphs (From Theory to Practice) Montefiore Hospital - The Chasm of a Million Analytics, and How to Bridge it? United Nations - A Graph as a Means to Store Unpredictable Knowledge – A Practical Implementation JSTOR Labs - Why Wikibase? Why not? Eccenca - Knowledge Graph for Digital Transformation in the Supply-Chain German National Library of Science and Technology - Creating a knowledge graph based Enterprise Innovation Architecture

• Forensics OCCRP - Using Graphs and Data Integration to Track Organised Crime Enigma.io - Impact and Insights from Public Data: Fighting Money Laundering by Linking and Resolving Entities Refinitiv Financial - Practical Use Cases and Challenges to Implement Graphs in Financial Services: Combating Financial Crime

• How To... Diffbot - Knowledge Graphs for AI Accenture Labs - Using a Domain Knowledge Graph to Manage AI at Scale Capsenta - Designing and Building Enterprise Knowledge Graphs from Relational Databases in the Real World Google AI - Wikidata, Knowledge Graphs, and Beyond IBM Research - Extending Knowledge Graphs using Distantly Supervised Deep Nets Microsoft - Building a Large-scale, Accurate and Fresh Knowledge Graph Neo4J - A Real-World Guide to Building Your Knowledge Graphs Collibra - Collibra's Context Graph

[izzykayu]

I would like to learn more about the difference between neo4j and other knowledge graph platforms such as ontotext. I work specifically in clinical natural language processing but leverage various clinical ontologies. hWhat is the difference between the formats and can both provide semantic relationships?

[k00ni]

Could you be more precise what you mean with all these use cases?

Many of the given use cases are buzzwords or don't say anything. For instance, "Sensors" is not a use case. At best it describes an area of expertise which contains hardware and software. Or "Network and database monitoring": Does RDF provide network monitoring now?

I might anticipate what you mean with all these terms, but I am looking forward to a more detailed explanation of the terms used.