24 Oct 2017
by
Neo4j
Security
We are becoming increasingly dependent on technology. Yet, without diligent attention paid to cybersecurity, technology is vulnerable to unauthorized access, change or even destruction. These vulnerabilities pose threats to our individual and collective safety, security and human and economic well-being.
Cybersecurity is therefore a vitally important global issue with substantial consequences that depends on safe, stable, and resilient security of our data, devices, and systems.
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15 Oct 2017
by Miro Marchi
Neo4j
Graph Visualization
Connected Data
Analytics
The success of many enterprises greatly depends on their ability to gather useful information and process it in a timely manner. Automation is essential and so is presentation, giving tangible feedback, to decision makers. This is where technology reaches out to management, where science and design are combined to put the right people in the position of making better and more sustainable choices.
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03 Oct 2017
by Alessandro Negro, Vlasta Kůs, Miro Marchi, Christophe Willemsen
Neo4j
NLP
Knowledge Platform
Cognitive Computing
Companies of any size have to manage and access huge amounts of data providing advanced services for their end-users or to handle their internal processes. The greater part of this data is usually stored in the form of text. Processing and analyzing this huge source of knowledge represents a competitive advantage, but often, even providing simple and effective access to it is a complex task, due to the unstructured nature of the textual data. This blog post will focus on a specific use case: provide effective access to a huge set of documents - later referred as a corpus - identifying main concepts , organizing indexes and providing an adequate visualization.
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24 Jul 2017
by Christophe Willemsen
Neo4j
NLP
Cypher
A book tells us a story, but for a computer it is a wall of text. How can we use graphs and NLP to help our machines make more sense of a story?
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05 May 2017
by Alessandro Negro
Neo4j
Elasticsearch
Knowledge Graph
Search
NLP
Recommendations
“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]
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27 Apr 2017
by Vince Bickers
Neo4j
ETL
Databridge
Since our first post a few months back, Neo4j-Databridge has seen a number of improvements and enhancements. In this post, we’ll take a quick tour of the latest features.
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08 Mar 2017
by Miro Marchi
Neo4j
Recommendations
Recommendation engines are a crucial element in the global trend towards a push-based web experience and away from a pull-based one. They provide the ability to personalize content offered to each user by predicting the interest the user will have in the recommended items. This is not only a powerful business tool for content providers, but also a vital improvement to the user experience. In today’s world where the volume, interdependence, variety and speed of information is overwhelming, recommendation engines can significantly reduce the gap between us and what we search for. Indeed, these engines are used even to enhance common text based search (read more about graph-aided search in our blog).
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25 Nov 2016
by Miro Marchi
Neo4j
Conference
GraphAware
Last month, the 5th edition of GraphConnect San Francisco took place at the Hyatt Regency SF. It was the biggest graph technology event ever and GraphAware proudly contributed as a sponsor, with one main talk, two lightning talks and our GraphHero stand ｡^‿^｡ This edition’s big announcement was the upcoming new landmark release of Neo4j 3.1, “The database for the connected enterprise”, which introduces a new state-of-the-art clustering architecture and new security architecture to meet enterprise requirements for scale and security. There will be a lot to say about this release, but you can already try the beta release as we have done!
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10 Oct 2016
by Vince Bickers
Neo4j
ETL
Databridge
Introduction
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04 Oct 2016
by Alessandro Negro
Neo4j
NLP
In recent years, the rapid growth of social media communities has created a vast amount of digital documents on the web. Recommending relevant documents to users is a strategic goal for the effectiveness of customer engagement but at the same time is not a trivial problem.
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