The schema.org Global Semantic Vocabulary expands its reach through means including hosted/reviewed and external extensions. The former is managed and published as part of the schema.org project, while the latter live elsewhere in the Semantic Web, typically managed by third parties with their own processes and collaboration mechanisms. Examples of extensions in various stages of […]
Data Cataloging vs. Data Modeling: Reporting from EDW2017
The Enterprise Data World 2017 Conference in Atlanta in the beginning of April was one of the best I have attended in recent years. At least 50 sessions for a guy like me interested in modeling. I chose to focus on sessions possibly related to Data Modeling in the new worlds of NoSQL, Big Data […]
Cognonto Takes On Knowledge-Based Artificial Intelligence
Knowledge-based Artificial Intelligence. That’s the direction taken by startup Cognonto, co-founded by Michael Bergman, a man whose history in the AI, Machine Learning, Semantic technologies, Internet search and data arenas goes back a long way. That includes his additional duties as CEO of Structured Dynamics, birthplace of UMBEL (Upper-level Mapping and Binding Exchange Layer), a […]
Banking on FIBO: Financial Institutions Turn to Semantic Standard
What is a Semantic Bank? One thing is for sure: The Financial Industry Business Ontology (FIBO) developed by the EDM Council, which semantically defines core financial industry concepts and relationships, probably plays a big role in it. A look at Deutsche Bank should help clarify the concept. The bank has leveraged FIBO as the basic […]
The Knowledge Representation Corner: Procedural vs. Declarative Part 2 – Logical Languages
Click here to learn more about author Adam Pease. In Part 1 I discussed the difference between procedural and declarative languages, and mentioned the confusion that can come from thinking that Turing equivalence applies to declarative languages. Now I’ll discuss some different logical languages. This is just an informal introduction. For the formal logician who is […]
The Knowledge Representation Corner: Procedural vs. Declarative
Click to learn more about author Adam Pease. Programmers that are new to ontology may be prone to think that any tool or language can be used to represent terms, definitions, and facts about the world. After all, as programmers, we’re used to solving problems in code and know that whether we use Perl, C++, Java, […]
Semantic Technology is Ready to Power Next-Generation Cyber Security
Cyber security is always a hot topic, but every time another Big Data exposure makes headlines, it becomes even hotter. The leak of some 11 million records held in a database operated by offshore law firm Mossack Fonseca, which led to the Panama Papers investigation, is just the latest example of a massive breach generating […]
Smart Data Plus Deep Reasoning Equals Business Value from Data Analysis
Coherent Knowledge would like businesses that want to make more effective use of the knowledge they capture and distribute to become more familiar with Rulelog. That is the logic underlying knowledge representation languages such as Vulcan’s Silk and the rule language used by its own Ergo Suite semantic rules and reasoning platform. Smart Data is […]
Names, Naming, and Ontology
Click here to learn more about author Adam Pease. Last month I looked at representing some simple statements with binary relations. This month, let’s look at what is possibly an even more fundamental issue, that of naming. It comes up often in knowledge representation and people can have very strong opinions about the “right” name […]
Ontology Plays a Part in United Nations Sustainable Development Goals Project
How do you define “basic services”? What’s the difference between them and “essential services”? What is meant by terms like “natural capital”, “raw material” or “essential medicines”? How do these all fit into an ontology? The truth is that there often aren’t universally accepted or precise definitions for terms like these – or even more […]