Workday Delivers Machine Learning-Powered Skills Cloud to Unlock Workforce...
According to a recent press release, “Workday, Inc., a leader in enterprise cloud applications for finance and human resources, today announced the general availability of its skills cloud, a universal...
View ArticleKBpedia is Now Open Source
According to a recent press release, “The editors of KBpedia, a computable knowledge structure that combines seven major public knowledge bases, announced they were releasing the entire structure as...
View ArticleSemantic Web and Semantic Technology Trends in 2019
What to expect of Semantic Web and other Semantic Technologies in 2019? Quite a bit. DATAVERSITY® engaged with leaders in the space to get their thoughts on how Semantic Technologies will have an...
View ArticleKnowledge Graphs, Ontologies, and AI
This past fall, all aspects of the computable knowledge structure KBpedia – its upper ontology (KKO), full knowledge graph, mappings to major leading knowledge bases, and 70 logical concept groupings...
View ArticleGraph Database vs. Document Database: Different Levels of Abstraction
“Remember that every science is based upon an abstraction. An abstraction is taking a point of view or looking at things under a certain aspect or from a particular angle. All sciences are...
View ArticleGraph Databases in the Spotlight
Graph databases are distinguished by relationships. Users can query, for example, the connections that relate a customer to an account that he or she owns, or how many degrees of separation exist...
View ArticleCase Study: Semantic Web Ontologies and Geoscience Collaboration Helps the...
In the geoscience community, collaboration is critical. Different disciplines — engineering geologists, geochemists, hydrologists — need to share their findings with each other to address big questions...
View ArticleData 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...
View ArticleData Modeling on the Other Side of the Quagmire
Click to learn more about author Thomas Frisendal. At the DATAVERSITY® Graphorum Conference in Chicago in October I attended Dave McComb’s tutorial on “Data-Centric: Models and Architectures”. At the...
View ArticleKnowledge Graphs: Context, Compliance, and Connections
“Graph is leaving a larger and larger footprint. And that is good,” said Thomas Frisendal in Knowledge Graphs and Data Modeling. Gartner named knowledge graphs as part of an emerging trend toward...
View ArticleGenerally Accepted Data Modeling Principles
Click to learn more about author Thomas Frisendal. What can data modelers learn from accountants? Accounting is a solidly established practice that the world cannot live without. One of the established...
View ArticleExploring a Chemistry Ontology
Click to learn more about author Martyna Pawletta. We are often asked if it’s possible to work with ontologies. By “work with ontologies,” people can mean many different things, but let’s focus today...
View ArticleWhat Is a Knowledge Graph?
A knowledge graph, which can be considered a type of ontology, depicts “knowledge in terms of entities and their relationships,” according to GitHub. An example of a knowledge graph is shown below....
View ArticleA Brief History of Data Ontology
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....
View ArticleKnowledge Graphs 101: The Story (and Benefits) Behind the Hype
Knowledge graphs, while not as well-known as other data management offerings, are a proven dynamic and scalable solution for addressing enterprise data management requirements across several verticals....
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