Nettsider med emneord «ontology»

Reasonable Ontology Templates (OTTR) is a framework and language with supporting tools for engineering ontologies. It is designed to improve the efficiency and quality of building, using, and maintaining ontologies and knowledge bases.

Biases, in general, describe errors in decision making. A number of cognitive biases have been identified in the area of human decision making (see, e.g., here, here, and here). In the context of Artificial Intelligence, algorithmic biases have become more and more relevant for data-driven decision (see, e.g., here).

The aim of this thesis is to categorize, organize, and interrelate various types of  biases (both cognitive and algorithmic) by developing a formal ontology for cognitive and algorithmic biases. Furthermore, this ontology will be used as a foundation for the development of a system for bias management whose aim would be to help identify biases in decision making in a more automated way.

In this thesis, you will investigate how semantic technologies, together with recent trends in software engineering, can help solve information architecture challenges of complex enterprises. You will put your ideas to the test on selected case studies in DNB.

The digital transformation of the industry depends on rich information models in order to support
automation of specialized and knowledge intensive tasks.

Work in this research program is primarily performed in two
projects: the Reasonable Ontology Templates (OTTR) project and the Information Modelling Framework (IMF) project.

Reasonable Ontology Templates (OTTR) is a framework and language with supporting tools for engineering ontologies. It is designed to improve the efficiency and quality of building, using, and maintaining ontologies and knowledge bases.