News from the world of graphs, semantics, and Semantic AI
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.
We need to disambiguate words, that is to discover which concepts stand behind these words. Read further PoolParty’s Director of Research’ explanation of how machines can understand language, in his series “Label unstructured data using Enterprise Knowledge Graphs” on Medium.
Have you ever wondered how you could easily transfer your taxonomy from a table or a spreadsheet to PoolParty? In the PoolParty Semantic Suite you can easily do just that. Structure Your Existing Table You need to consider a couple of things before you start to upload your spreadsheet. First, you need to know about the structure of a PoolParty …
The COVID-19 crisis has exposed critical deficits in AI. AI architectures need to be changed. Is Semantic AI the solution and the beginning of a new era of AI? Find out more!
Learn how combining machine learning and knowledge graphs, shortly known as Semantic AI, can accelerate the development of new drugs amid COVID-2019.
The benefits of Semantic AI are many. Power AI with human capabilities, make machine learning more explainable and produce relevant results with less data.
How to use a Knowledge Graph for Entity Linking to process unstructured data, such as text documents, automatically? Read until the end to get the code!