Multi-Connected Ontologies
Philip Davies, David Newell, Abigail Davies, Damla Karagozlu

TL;DR
This paper critiques current ontology structures and proposes a novel multi-connected complex network model represented as an asymmetric probability matrix to better capture diverse expressions of knowledge domains.
Contribution
It introduces a new multi-connected complex network framework for ontologies, extending beyond traditional structures to enhance representational capacity.
Findings
Traditional ontologies are insufficient for representing diverse knowledge expressions.
The proposed multi-connected structure is modeled as an asymmetric probability matrix.
This new approach offers a richer, more flexible representation of subject domains.
Abstract
Ontologies have been used for the purpose of bringing system and consistency to subject and knowledge areas. We present a criticism of the present mathematical structure of ontologies and indicate that they are not sufficient in their present form to represent the many different valid expressions of a subject knowledge domain. We propose an alternative structure for ontologies based on a richer multi connected complex network which contains the present ontology structure as a projection. We demonstrate how this new multi connected ontology should be represented as an asymmetric probability matrix.
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Taxonomy
TopicsSemantic Web and Ontologies · Advanced Database Systems and Queries · Service-Oriented Architecture and Web Services
