Machine Learning, Graphs and the Fake News Epidemic (Part 1)
By Bryce Merkl Sasaki | August 2, 2017
Regardless of your political affiliation or demographic it’s difficult to deny the effects of the recent fake news boom. The Pew Research Center conducted a survey that found that two in three adults in U.S. believe that the upsurge of… Learn More →
Keywords: ai • artificial intelligence • BuzzFeed News • Connected Data • fake news • graph database • graph technology • Knowledge Graph • machine learning • machine learning algorithms
This Week in Neo4j – 29 July 2017
By Mark Needham | July 29, 2017
Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. Featured Community Member: Dave Bennett This week’s featured community member is Dave Bennett, Identity Solution Architect… Learn More →
Keywords: APOC • Game of Thrones • Knowledge Graph • nlp • openthebox • security engineering • twin4j
Graph Technology for Enterprise Master Data Management (MDM)
By Rachel Howard | July 14, 2017
Editor’s Note: This presentation was given by Aaron Wallace at GraphConnect San Francisco in October 2016. Presentation Summary Modern enterprises need to have a full, 360-view of their customers drive their bottom line. This requires the integration of data from… Learn More →
Keywords: customer information management • data quality • fraud detection • graphconnect • Knowledge Graph • Master Data Management • MDM • metadata management • Pitney Bowes • single customer view
How NASA Finds Critical Data through a Knowledge Graph
By Rachel Howard | May 17, 2017
Editor’s Note: This presentation was given by David Meza at GraphConnect San Francisco in October 2016. Here’s a quick review of what he covered: What is a knowledge architecture? What are the benefits of a knowledge architecture? The power of… Learn More →
Keywords: data science • graph visualization • graphconnect • knowledge architecture • Knowledge Graph • knowledge management • latent Dirichlet allocation • MongoDB • nasa • r
Relevant Search Leveraging Knowledge Graphs with Neo4j
By Bryce Merkl Sasaki | May 5, 2017
“Relevance is the practice of improving search results for users by satisfying their information needs in the context of a particular user experience, while balancing how ranking impacts business’s needs.”[1] Providing relevant information to the user performing search queries or… Learn More →
Keywords: artificial intelligence • conceptnet • ecommerce • elasticsearch • Knowledge Graph • machine learning • natural language processing • product catalog • Recommendation Engine • user experience
From the Neo4j Community: September 2016
By Rachel Howard | October 31, 2016
The Neo4j community has been busy this autumn, and September (as the month before GraphConnect) was exceptional. Read on to see this past month’s top content, including great articles on polyglot persistence with MongoDB, RDF-to-graph transitions and using Neo4j with… Learn More →
Keywords: cypher • graph database • Information Security • Knowledge Graph • Neo4j Community • nosql • property graph • real-time data analytics • spring data neo4j
Your Technical Documentation Should Be a Graph: Here’s Why
By Bryce Merkl Sasaki | April 25, 2016
TL;DR: This blog post is mainly about how technical documentation should ideally be structured: as a graph (not to be confused with a chart). As a software developer and author I have had the chance (and also the obligation) to… Learn More →
Keywords: github • graph • graphconnect • Knowledge Graph • natural language processing • nlp • software developer • stack overflow • Structr • technical documentation
Graph Databases in the Enterprise: Graph-Based Search
By Bryce Merkl Sasaki | November 9, 2015
Graph-based search is a new approach to data and digital asset management originally pioneered by Facebook and Google. Search powered by a graph database delivers relevant information that you may not have specifically asked for – offering a more proactive… Learn More →
Keywords: digital asset management • facebook • google • graph database • graph model • Graph Search • Knowledge Graph • relational database • search experience • use case
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