Ontology-Driven Processing of Unstructured Text

Abstract

A lot of projects on ontologies focus on describing some aspect of reality: objects, relations, states of affairs, events, and processes in the world. Another approach is using ontologies for problem-solving. In this paper we discuss an approach for designing NLP tasks based on a multilevel system of ontological models. We developed a system of ontological models which is used for ontology-driven computational processing of unstructured texts. The components of the system are the ontology of task designing, the ontology of applied models, and the domain ontology. We discuss the general schema of designing solutions of applied tasks and some applications.