Why Question-Answering Engines? The search only for documents is outdated. Users who have already adopted a question-answering (QA) approach with their personal devices, e.g., those… Read More »Question Answering based on Knowledge Graphs
The still young discipline of the management and governance of knowledge graphs (KG) is gradually beginning to consolidate on the basis of concrete project experience. It… Read More »The Rise of the Knowledge Scientist
A little soup is quickly cooked. But if many chefs are working together on a larger menu that will eventually be appreciated by a banquet… Read More »Introducing Knowledge Graphs into Organizations
Tips Don’t try to put the cart before the horse: realize that efficient data preparation (and thus interoperable standards) and data quality, especially in the… Read More »Implementing Knowledge Graphs in Enterprises – Some Tips and Trends
Hybrid approach: Semantic AI is the combination of methods derived from symbolic AI and statistical AI. Virtuously playing the AI piano means that for a… Read More »Six Core Aspects of Semantic AI
These days, many organisations have begun to develop their own knowledge graphs. One reason might be to build a solid basis for various machine learning… Read More »A Standard to build Knowledge Graphs: 12 Facts about SKOS
Will Artificial Intelligence make subject matter experts obsolete? Imagine you want to build an application that helps to identify wine and cheese pairings. Who will… Read More »Why Cognitive Systems should combine Machine Learning with Semantic Technologies
Things, not Strings Entity-centric views on enterprise information and all kinds of data sources provide means to get a more meaningful picture about all sorts… Read More »Introducing a Graph-based Semantic Layer in Enterprises
