PoolParty Blog
News from the world of graphs, semantics, and Semantic AI
The PoolParty Semantic Suite is labelled a “one-stop-shop” by data science influencer Ashleigh Faith. Watch the Knowledge Graph Technology Showcase on YouTube here!
By now Semantic Web Company’s Information Security Management Systems (ISMS) has been certified according to the standard ISO 27001:2013 for the third year in a row. At the core is an annual check where all critical factors of the certifications are re-assessed by CIS – Certification & Information Security Services GmbH. This ensures a continuously high level of security for …
Benefit from 360-degree views of your data. Get started with premium knowledge organization systems powered by Enterprise 360!
Manage enriched data with smart classification tools. Get started with premium knowledge organization systems!
Deliver contextualized information in search applications and automate tagging processes. Join the world of premium taxonomy management software!
How can you prepare your business for sustainable growth similarly to how Fortune 500 companies had? We have the answer for you in this blog post.
Semantic Web Company’s researcher Anna Breit has recently started a series of blog posts in the ML ED (Machine Learning, Easily Digestible) series on medium.com that focuses on explaining the key principles behind word embeddings.
There are endless possibilities how to start a taxonomy or a knowledge graph from scratch but it is a daunting process. With PoolParty CardSorting we offer an easy way into the semantic world of taxonomies and knowledge graphs online. No prior semantic knowledge or physical presence is required!
The article gives insights into the mission and focuses of Semantic Web Company, how CEO Andreas Blumauer positioned the Company and it’s Product PoolParty Semantic Suite as a leading Middleware, how they deliver cutting edge technology to partners and customers, and how the team behind PoolParty is passionate about innovating and pioneering Semantic Web Technologies.
With the power of knowledge graphs at one’s disposal, enterprise data can be efficiently prepared in such a way that it can be mapped to natural language questions. That might sound like magic, but it’s not. It is actually a well-established method to successfully roll out AI applications like QA systems in numerous industries.