by Dave McComb | May 15, 2012 | Knowledge Graphs & Ontologies
A good ontology simplifies your information management systems because it creates an enterprise-wide definition of what things are called and their interrelationships. In our experience, even the complex requirements of multi-billion, global companies can be organized...
by Dave McComb | May 15, 2012 | Knowledge Graphs & Ontologies
The world of traditional information technology is black or white. If something isn’t the same, then it is different. Every new distinction requires the creation of a new table. This creates a problem because once a new table is created the concept is considered...
by Dave McComb | May 11, 2012 | Knowledge Graphs & Ontologies
Since the semantic model is free of structure, it is easier to map concepts to different structural representations enabling reuse of classes and properties. Reuse is a profound way to reduce complexity. In a traditional system, attributes are not reused. Every time...
by Dave McComb | May 5, 2011 | Knowledge Graphs & Ontologies
Part 1 & Part 2 We just conducted a weeklong training session on OWL/DL and Ontology Engineering. Several of the participants will be attending the Semantic Technology Conference, and felt they will be getting a lot more out of the conference, because of the...
by Dave McComb | Apr 7, 2011 | Knowledge Graphs & Ontologies
Todd Schneider and Ali Hashemi came up with this in the Ontology Forum email today: Every person, organization or system has an ontology – the things presumed to exist in the world and how they behave. Interactions with the world are based on these internal...
by Dave McComb | Feb 14, 2011 | Knowledge Graphs & Ontologies
There are many differences between an ontologically inspired data model and a traditional data model, but it just occurred to me and I thought I should jot it down before it leaves me: the essential difference is in reducing complexity. By that I mean in the sense...
