Knowledge graphs are an area of data science concerned with relationships between things. And so it is perhaps no surprise that the relationships between the practitioners of the art keep expanding.

Everyone who has tried to figure out something has experienced the pleasure of seeing how things fit together — connecting the dots, or following the money, as they say. One of the most fascinating ...

In the quest to teach software to understand language, scientists have mainly focused on text as a source of data to help train their algorithms. Among other things, text is used to populate a ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

When we ask Siri, Alexa or Google Home a question, we often get alarmingly relevant answers. Why? And more importantly, why don’t we get the same quality of answers and smooth experience in our ...

A knowledge graph can even eliminate the need for large amounts of data to train machine learning algorithms (known as the “cold start problem”). When data is classified and linked, algorithms require ...

Even though it probably affects our lives every single day, most of us have no idea what a “knowledge graph” is. Asking your favorite voice assistant what the weather will be like tomorrow? That’s ...

Google's Knowledge Graph is an important element of Search. Here's what it is and how to use it to drive more visitors to your website. Google’s introduction of the Knowledge Graph in 2012 was a ...