GraphAware Blog - Hume

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Exploring The MET Art Collections with Hume #2

06 Jan 2021 by Antonin Smid Hume Knowledge Graph

Exploring The MET Art Collections with Hume #2

In our last MET Art Collections post we ingested and processed part of a dataset containing more than 470,000 artworks from The Metropolitan Museum of Art and created a knowledge graph using Hume, GraphAware’s insights engine.This time, we will have a look at four use cases demonstrating how to get insights from the knowledge graph. We will start with Hume Visualisations to explore tag’s context; create Hume Actions to analyse the donors, and finally, use the Graph Data Science Library to suggest similar paintings.Exploring tag’s contextWe do not need complex queries to find interesting facts in the Art knowledge graph....

Exploring The MET Art Collections with Hume #1

10 Dec 2020 by Antonin Smid Hume Knowledge Graph

Exploring The MET Art Collections with Hume #1

The Metropolitan Museum of Art recently published a dataset of more than 470,000 works of art under the CC-zero License. Representing such a collection as a knowledge graph allows us to explore it in a unique way - seeing the artworks, their authors, donors, mediums, tags, or art movements deeply connected, being able to traverse the links between them and discover unexpected relations.The inspiration to explore this dataset spring from an exciting challenge by Neo4j, the Summer of Nodes: Week 2, make sure to check it out.To create and explore the Art knowledge graph we will use Hume insights engine....

Welcome to the Hume 2.6 live event

04 Dec 2020 by Michal Bachman, Alessandro Negro, Miro Marchi Hume Webinar

Welcome to the Hume 2.6 live event

In an increasingly complex and hyperconnected world, organizations need a level of insight, collaboration and optimization into their data that is locked away within different systems and siloed within the different teams. Information is hidden and opportunities are missed because of the lack of a single system to host, analyze, and visualize their data.Welcome to Hume.Hume is the insights engine that collects your scattered data into one full graph-powered solution for your analysts to make sense of their data. Built on top of the cutting-edge technology by Neo4j, Hume has the ability to connect your structured and unstructured data into...

Insightful IT Operations with Hume

30 Nov 2020 by Luanne Misquitta Hume Neo4j ITOps

Insightful IT Operations with Hume

Graphs are a perfect fit for IT Operations. Right from dependency management to impact analysis and capacity to outage planning, the interconnectedness of the components that make up networks and services, modelled naturally as a graph enable various teams such as support, help desk and devops to navigate potentially complex relationships.BackgroundThe size of networks has been rapidly increasing and along with it, assets such as applications, services, and devices.IT managers and operations teams have been facing challenges around quick response times and incident analysis due to the inability of traditional databases, such as relational, to process heavily hierarchical and interconnected...

New in Hume 2.6: Perspectives, Labs 2.0 and much more

13 Nov 2020 by Dr. Alessandro Negro Hume GraphAware

New in Hume 2.6: Perspectives, Labs 2.0 and much more

GraphAware is proud to announce the release of Hume 2.6. This new release brings some major updates and exciting new features to our customers. In particular: [New] Hume.Perspectives: a mechanism for specifying multiple subschemas of the main Knowledge Graph. It improves security and readability, allowing users to specify who can read what. [Improved] Hume.Labs 2.0: the latest version of Hume.Labs improves security, aligns it to the Hume RBAC model, simplifies management of multiple projects and enormously reduces (almost to 0) the data scientists’ effort for building language models and related skills from an annotated text or dictionary. [Improved] Hume.Viz: the...

Knowledge Graphs with Entity Relations: Is Jane Austen employed by Google?

20 Oct 2020 by Vlasta Kůs NLP Knowledge Graph NER ERE Hume

Knowledge Graphs with Entity Relations: Is Jane Austen employed by Google?

If you have read our post Hume in Space: Monitoring Satellite Technology Markets with a ML-powered Knowledge Graph, you surely wonder: is there a way to extract relations among named entities without heavy investment? Investment in terms of time to label training dataset and to develop, train and deploy a machine learning model?Yes, there is! But first things first …There are many ways to approach the problem. If you are a data scientist, your first instinct is probably Deep Learning (DL). Entity relation extraction, i.e. classifying relation types between named entities such as (:Person)-[:WORKS_FOR]->(:Organization), is clearly a perfect use case...

Hume in Space: Monitoring Satellite Technology Markets with a ML-powered Knowledge Graph

15 Apr 2020 by Vlasta Kůs NLP Knowledge Graph NER ERE Hume

Hume in Space: Monitoring Satellite Technology Markets with a ML-powered Knowledge Graph

Everyone has a passion for something. Be it music, politics, sports, coffee or … pancakes. Such passion makes you strive for new information, for understanding of the current trends. Take pancakes: you might watch for new recipes on your favourite website, you might look at cooking shows or youtube videos to get more inspiration about how to serve them … but overall, you can probably handle this pretty well. It’s not like there is much room for revolutionising the pancake recipe.Imagine a different context: let’s say that your passion is not limited to your kitchen, but reaches from the ground...

Contact Tracing Using GraphAware Hume (COVID-19)

01 Apr 2020 by Michal Bachman Neo4j GraphAware Hume Coronavirus

Contact Tracing Using GraphAware Hume (COVID-19)

GraphAware Hume helps governments in keeping their countries safe. In this 15-minute video, we demonstrate the use of Hume for contact tracing and smart quarantine in the context of the current coronavirus pandemic. Specifically, we will see how Hume can identify people at risk using actual and potential contact tracing, suggest who should be informed or quarantined, visually explain why someone is at risk, find quarantine offenders, and much more.Hume can do much more than structured data analysis. It is a full blown ecosystem for intelligent systems built upon the combined power of collaborative knowledge graphs and machine learning.Hume’s unique...

GraphAware Announces Hume Platform R&D Center

23 Jul 2019 by Kyle McNamara GraphAware Hume

BOSTON, July 23, 2019 /PRNewswire/ – GraphAware, a leading Neo4j ISV and consulting practice, today announced the official launch of its Italian Research and Development entity Graph Aware S.r.l., headquartered in Lecce, Italy.This strategic investment by GraphAware represents a significant expansion as an ISV, with a fast growing development team of thought-leaders in GraphDBs with Neo4j, Natural Language Processing (NLP), Machine Learning (ML) and Artificial Intelligence (AI).Led by Chief Scientist Alessandro Negro and CTO Christophe Willemsen,the Lecce R&D center is the main lab and development center for GraphAware’s flagship software platform Hume- with a dedicated local and remote development team...