It can be said that the history of data ontology starts with the development of ontology as a concept in Greece, back in the fourth century B.C.E. It was developed by Aristotle, the famous philosopher. Ontology is a branch of philosophy that is used to classify and explain “that which exists” or answer the question […]
Semantic Web and AI: Empowering Knowledge Graphs for Smarter Applications
Data is the cornerstone of innovation in today’s highly digital world. However, in its raw state, data isn’t very useful as it lacks meaning and context. This is where the Semantic Web comes in – it provides a framework that imbues data with meaning, allowing machines to understand and process it just as humans do. […]
Semantic Technology and Integration 101: What It Is and Why It Matters
New technologies like ChatGPT are all the rage, as they aim to answer questions and provide information that makes our lives easier. Yet, the validity of the results generated has come under scrutiny and, as a result, much emphasis has been made on how organizations can get relevant and trustworthy data into the hands of […]
A Brief History of Semantics
As a word, “semantics” was first used by Michel Bréal, a French philologist (a language historian),in 1883. He studied how languages are organized, how languages change as time passes, and the connections within languages. Gen erally speaking, semantics is the study of language and its meaning. More specifically, semantics can be used to describe how […]
Semantic Technology Trends in 2022
Semantic technology trends are expanding well beyond an interesting, more advanced search engine. Besides providing scientists with a more functional search engine, semantic technology is now being used to improve artificial intelligence and machine learning. Semantic technology uses a variety of tools and methods designed to add “meaning” to a computer’s understanding of data. When […]
Property Graphs vs. Knowledge Graphs
One of the greatest strengths of graph databases is their ability to treat “relationships” between the data as being as important as the data itself. They show a visual image of a graph in response to queries. Graph databases are designed to hold data without restricting it to a fixed, predetermined model. As a consequence, […]
Why Graph Databases Are an Essential Choice for Master Data Management
Click to learn more about author Brian Platz. Within the Data Management industry, it’s becoming clear that the old model of rounding up massive amounts of data, dumping it into a data lake, and building an API to extract needed information isn’t working. It’s outdated, it’s clunky, and it was built for a different era. […]
Will They Blend? Meeting the Semantic Web
Click to learn more about author Martyna Pawletta. Let’s see if we can serve pizza via the Semantic Web and an analytics platform. Will they blend? Ontologies study concepts that directly relate to “being,” i.e., concepts that relate to existence and reality as well as the basic categories of being and their relations. In information science, […]
Semantic Web and Semantic Technology Trends in 2020
One way or another, it’s all about graphs. And machine learning. And AI. And what their connections to each other are. Welcome to the world of semantic technology in 2020. The year ahead largely picks up the pace on what industry experts predicted would happen in 2019. Graph technologies have finally become mainstream, says Andreas […]
Data Ontology is the Future, and I Can’t Wait
Click to learn more about author Mike Brody. When the inventor of the World Wide Web says a new technology is gonna be big, I’m inclined to listen. In this now decade-old TED Talk, W3C Director Sir Tim Berners-Lee makes a convincing case for the critical importance of what he calls “data linking,” a technology that […]