Resources - KG

Videos, Slides, Case Studies and other GraphAware related resources

New Case Study

Hume for Law Enforcement

Harness connected data to safeguard your community

16 Sep 2022 casestudies Hume Law enforcement

Hume provides a single view of intelligence enabling analysts to quickly identify links and patterns of interest in the vast amounts of information they have access to. On a single canvas, analysts quickly find connections between entities, understand geographical and temporal context, and perform advanced network analysis.

Learn more about how Law enforcement agencies are already using Hume to power their intelligence analysis and achieve success.

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Knowledge Graphs for Regulatory Compliance with Neo4j and GraphAware Hume

06 Oct 2021 videos compliance KG Hume

GraphAware and Neo4j experts demonstrate how you can leverage knowledge graphs to help with compliance challenges.

Knowledge Graphs Powered By NLP and Network Science

20 Oct 2020 videos NLP KG

Vlasta Kůs takes us through converting a corpus of research papers through Natural Language Processing, entity (relation) extraction and graph algorithms to highly informative connected insights organized in a knowledge graph.

Improving Information Retrieval with Knowledge Graphs and Natural Language Processing

25 Aug 2020 videos NLP search KG

Christophe Willemsen, CTO, GraphAware, explains how to apply NLP to extract entities and key phrases to build and search knowledge graphs

Knowledge Graphs to Power Financial Chat Bots

28 May 2020 videos KG chatbots search

Mayank Gupta, SVP of Data and Wren Chan, VP of Foundational Architecture and Innovation from LPL Financial present how they use GraphAware Hume and Neo4j to power financial chat bots.

Knowledge Graphs in Action

17 Dec 2019 videos KG

In this presentation, you’ll learn how companies are building Knowledge Graphs with Neo4j and the Hume platform in order to surface previously undiscoverable insights. We’ll go over the process of analysing unstructured data using Machine Learning techniques and how graphs are a wonderful representation for storing Knowledge, making it naturally connectable. Lastly, a Graph Visualisation demonstration will take place, showing new insights discovered from the results of the previous operations.

Social media monitoring with ML-powered Knowledge Graph

10 Oct 2019 videos ML KG

Ever wondered how ML can be used to build a Knowledge Graph to allow businesses to successfully differentiate and compete today? We will demonstrate how Computer Vision, NLP/U, knowledge enrichment and graph-native algorithms fit together to build powerful insights from various unstructured data sources.

Challenges in knowledge graph visualization

10 Oct 2019 videos KG visualisation

Visualizing a complex graph is a task of graph simplification and providing well-thought visual cues, the best UI goes unnoticed. This talk will summarize current approaches and present a novel user interaction pattern, which takes advantage of a performant Neo4j graph engine.

Using Knowledge Graphs to predict customer needs, improve product quality and save costs

29 Apr 2019 videos KG predictive analytics

Alessandro Negro, Chief Scientist at GraphAware, delivers a presentation called Using Knowledge Graphs to predict customer needs, improve product quality and save costs during the SmartData Summit 2019 in Dubai.

Connect, Enrich, Evolve: Convert Unstructured Data Silos to Knowledge Graphs

22 Aug 2018 videos KG unstructured data NLP

Dr. Alessandro Negro, Chief Scientist at GraphAware, presents on knowledge graphs at GraphTour DC.

Knowledge Graphs and Chatbots with Neo4j and Amazon Alexa

28 Mar 2018 videos KG Neo4j NLP chatbots

Knowledge Graphs are becoming the de-facto solution for managing complex aggregated knowledge, and Neo4j is the leading platform for storing and querying connected data. In this talk, Christophe will describe a graph-centric cognitive computing pipeline and detail the process from the ingestion of unstructured text up to the generation of a knowledge graph, queryable using natural language through chatbots built with IBM Watson Conversation.