4 Tracks = 4 Great Panels @ CDL18

We’re pleased to feature 4 great panel discussions throughout the day at CDL18 featuring an array of industry experts sharing their experience on the do’s & don’ts of Connected Data. These are informal opportunities to discuss interesting topics, gain valuable perspectives & ask the experts those questions that have been burning away in your mind. […]

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SHACL-based data life cycle management

PoolParty Semantic Suite is Semantic Web Company’s platform for enterprise information integration based on Linked Data principles. PoolParty consists of several components that process and manage RDF based data sets. These components have consistency requirements towards the data they work on. Also, users have requirements towards the quality of the data they manage. We want […]

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Graph intelligence: the future of data-driven investigations

RDF and graph databases are on the rise. The performances, flexibility, and scalability of these systems are attracting a large number of organizations struggling with complex and connected data. While the graph approach offers several advantages, finding insights into the enormous volume of data remains a challenge. In this presentation, we will introduce Graph Intelligence, […]

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Enabling the Next-Generation of Intelligent Applications

Graph databases have demonstrated the ability for organizations, from cutting-edge startups to global enterprises, to extract data intelligence that was next to impossible with traditional DBMS. However, first-generation graph databases fall short when it comes to delivering the real-time performance and scalability required to build modern applications. Memgraph is on a mission to fulfil the […]

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Graphs in space: a guide to visualizing geospatial networks

Many of today’s geospatial graph projects deal with distance queries or path-finding problems such as, ‘what’s my fastest route to the airport?’, or, ‘where’s the nearest 5* restaurant?’. Geospatial graphs are good at providing answers fast, but their value doesn’t stop there. They can solve many more complex problems too. Drawing from Cambridge Intelligence’s rich […]

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Analytics on Big Knowledge Graphs deliver entity awareness and help data linking

To make adequate decisions, businesses have to combine their databases – their own view of the world – with non-proprietary data. However, combining diverse data from multiple sources is a complex task. Matching concepts and entities across disparate data sources and recognizing their mentions in texts requires disambiguation of their meaning – something that comes […]

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Scaling up business value with real-time operational graph analytics

Graph-based solutions have been in the market for over a decade with deployments in financial services, healthcare, retail, and manufacturing. The graph technology of the past limited them to simple queries (1 or 2 hops), modest data sizes, or slow response times, which limited their value. A new generation of fast, scalable graph databases, led […]

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RDF Data Quality Assessment – connecting the pieces

RDF and graph databases are steadily increasing their adoption and are no longer choices of niche-only communities. For almost 20 years, a constraint language for RDF was a big missing piece in the technology stack and a prohibiting factor for further adoption. Even though most RDF-based systems were performing data validation and quality assessment, there […]

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The Year of the Graph: Evaluating graph databases

2018 has been another exciting year for the Graph Database landscape with several key developments, new entrants & increasing adoption. So, do you really need a graph database, and what for? How do you choose one? This panel offers a rapid introduction to the rich landscape of Graph Databases discussing options, starting points, common patterns […]

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