Today, data is key to everything. Enterprises are struggling with cataloging, analyzing and extracting needed information from their own antiquated knowledge and data management systems. As Gartner highlighted in their latest Hype Cycle for Artificial Intelligence (2018):
“The rising role of content and context for delivering insights with AI technologies, as well as recent knowledge graph offerings for AI applications have pulled knowledge graphs to the surface.”
PoolParty Semantic Suite helps enterprises break down data silos by assisting in the building and managing of knowledge graphs as a basis for various AI applications. Join Semantic Web Company CEO and Founder, Andreas Blumauer, to learn more about:
- Creating a Knowledge Graph using PoolParty Semantic Suite
- How PoolParty works across the whole Linked Data Life Cycle
- The new GraphEditor from our latest PoolParty 7.0 release
- Real life use cases of PoolParty Semantic Suite
What is a Knowledge Graph? “It’s all about things, not strings: A Knowledge Graph represents a knowledge domain. It connects things of different types in a systematic way. Knowledge graphs encode knowledge arranged in a network of nodes and links rather than tables of rows and columns. By that, people and machines can benefit from a dynamically growing semantic network of facts about things and can use it for data integration, knowledge discovery, and in-depth analyses.”Andreas Blumauer
150 + customers trust us.
We are also recognized as one of the 100 companies that matter in Knowledge Management.
Awards and Recognitions
KMWorld 100 COMPANIES That Matter in Knowledge Management
KMWorld Trend-Setting Product of 2016, 2017 and 2018