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Graphs on the Ground Part I: The Power of Knowledge Graphs within the Financial Industry

Ontotext

In the past year, knowledge graphs topped the curve of the Gartner Hype Cycle for Artificial Intelligence, and graph database vendors raised more than half a billion dollars in venture capital funding. It’s safe to say knowledge graphs have entered the spotlight. Drawing More Value Out of Existing Data.

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RDF-Star: Metadata Complexity Simplified

Ontotext

Graph Databases vs Relational Databases. With graph databases the representation of relationships as data make it possible to better represent data in real time, addressing newly discovered types of data and relationships. Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter.

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How ZS built a clinical knowledge repository for semantic search using Amazon OpenSearch Service and Amazon Neptune

AWS Big Data

In this blog post, we will highlight how ZS Associates used multiple AWS services to build a highly scalable, highly performant, clinical document search platform. We serve clients in a wide range of industries, including pharmaceuticals, healthcare, technology, financial services, and consumer goods.

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The Power of Ontologies and Knowledge Graphs: Practical Examples from the Financial Industry

Ontotext

An ontology is a formal and systematic way of representing knowledge within a particular domain, including the concepts and the relationships between them. Ontologies can be applied to collections of facts to create knowledge graphs. and product (What?).

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

Seen through the three days of Ontotext’s Knowledge Graph Forum (KGF) this year, complexity was not only empowering but key to the growth of knowledge and innovation. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

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Exploring FIBO Using the Inference and Property Path Features of GraphDB

Ontotext

An ontology or a knowledge graph of any appreciable size requires some effort on the part of the consumer before it becomes a useful tool. Knowledge of the subject domain is always helpful, but rarely sufficient as there are many choices to be made in representing domain knowledge as data in a graph.

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At Center Stage: 2 Ontotext Webinars About Reasoning with Big Knowledge Graphs and the Power of Cognitive Graph Analytics

Ontotext

This post continues the series of posts we started with At Center Stage: 2 Ontotext Webinars About Reasoning with Big Knowledge Graphs and Power of Graph Analytics. These are: Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven Recipes and Graph Analytics on Company Data and News.