OntoM: An Ontological Approach for Automatic Classification

Abstract

The concept of Ontologies has been used in a wide range of application domains, due to the fact that ontologies provide a useful mean for establishing a formal, shared and collective understanding of the concepts and their underlying relations at a certain domain of interest, which allows for interoperability and information exchange in a formal an understandable way for both humans and machines. In Cultural Heritage (CH) domain, ontologies serve as a fundamental building block for the traceability of the cultural heritage objects, especially with the increasing demand of providing digital formats for cultural objects and make them available for public. In this paper we implement OntoM; an Ontology model that incorporates the relevant concepts of the Cultural Heritage (CH) domain in Qatar. Then, we will use such an ontology to perform inferences about cultural object classifications via two approaches: string matching, that allows for direct matching between the object and the ontology concepts, and semantic matching, in which we use WordNet lexical database to find all possible synonyms for properties of a given anonymous object. 2020 IEEE.