Open AccessA Framework for Building a Multilingual Industrial Ontology: Methodology and a Case Study for Building Smartphone English-Arabic Ontology
Author(s) -
Amany Alnahdi
Publication year - 2021
Publication title -
international journal of web and semantic technology
Language(s) - English
Resource type - Journals
eISSN - 0976-2280
pISSN - 0975-9026
DOI - 10.5121/ijwest.2021.12302
Subject(s) - ontology , computer science , ontology based data integration , upper ontology , process ontology , suggested upper merged ontology , owl s , information retrieval , ontology alignment , ontology inference layer , world wide web , semantic web , open biomedical ontologies , semantic web stack , philosophy , epistemology
As Web 3.0 is blooming, ontologies augment semantic Web with semi–structured knowledge. Industrial ontologies can help in improving online commercial communication and marketing. In addition, conceptualizing the enterprise knowledge can improve information retrieval for industrial applications. Having ontologies combine multiple languages can help in delivering the knowledge to a broad sector of Internet users. In addition, multi-lingual ontologies can also help in commercial transactions. This research paper provides a framework model for building industrial multilingual ontologies which include Corpus Determination, Filtering, Analysis, Ontology Building, and Ontology Evaluation. It also addresses factors to be considered when modeling multilingual ontologies. A case study for building a bilingual English-Arabic ontology for smart phones is presented. The ontology was illustrated using an ontology editor and visualization tool. The built ontology consists of 67 classes and 18 instances presented in both Arabic and English. In addition, applications for using the ontology are presented. Future research directions for the built industrial ontology are presented.