Human Experiences Ontology Data Model and its Design Environment

Abstract

Structuring data, content, video, texts, and other narratives for researching complex adaptive systems requires new approaches and flexible data modelling tools. Those tools have to allow conceptualizing contexts and other semantic structures of the information. The invention addresses the problem with a method for designing and transmitting semantic digital codes and semantic digital structures of human experiences. The method can be applied to the processes of seeking patterns in big volume of information within various professional areas like Social Studies, Genomics, Mathematical Sociology, Digital Humanities, and other knowledge domains. The frameworks and semantic digital structures of human experiences provided with the Human Experiences Ontology Data Model can be integrated into metadata, systems of tags and training datasets for Machine Learning. The semantic digital structures of human experiences which are created in one professional area or language can be transmitted to other knowledge domains and languages.

Dependencies are inferred from the claim text.