A partial ontology on DAOs, built manually

Abstract

This work presents a manually built ontology to aggregate and knowledge systematization of Decentralized Autonomous Organizations (DAOs) obtained from web pages. An ontology is a formal description of knowledge as a set of concepts within a domain and the relationships between them, providing a common vocabulary for researchers to share information. Ontology construction from text involves analyzing collected text, identifying relevant terms and concepts, and representing the ontology using representation languages such as OWL, RDF, or RDFS. Manual ontology construction can be performed using applications such as Protege. This work describes the methodology used, how to use the ontology created through Protege using SPARQL, and presents future work proposals, including creating the same ontology using Deep Learning from Machine Learning techniques.