Sup_Ont: An Upper Ontology

Sonika Malik, Sarika Jain

Source Title: International Journal of Web-Based Learning and Teaching Technologies (IJWLTT)16(3)

ISSN: 1548-1093|EISSN: 1548-1107|EISBN13: 9781799859345|DOI: 10.4018/IJWLTT.20210501.oa6

MLA

Malik, Sonika, and Sarika Jain. "Sup_Ont: An Upper Ontology." IJWLTT vol.16, no.3 2021: pp.79-99. http://doi.org/10.4018/IJWLTT.20210501.oa6

APA

Malik, S. & Jain, S. (2021). Sup_Ont: An Upper Ontology. International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 16(3), 79-99. http://doi.org/10.4018/IJWLTT.20210501.oa6

Chicago

Malik, Sonika, and Sarika Jain. "Sup_Ont: An Upper Ontology," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) 16, no.3: 79-99. http://doi.org/10.4018/IJWLTT.20210501.oa6

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Abstract

A domain-independent conceptual model that aims to be highly reusable across specific domain applications is provided by upper-level ontologies which usually describe abstract concepts. In this paper, the authors proposed Sup_Ont, a fundamental upper ontology. In this ontology, the structure of the universe shows the concept of reality that is defined to have an existence which is known as truth. The devised super ontology and hence the domain ontologies can be reused across applications because of the generalized representation scheme used that is an EHCPR. An extended hierarchical censored production rules (EHCPRs) system is a knowledge representation system for reasoning with real-life problems and a step towards a generalized representation system. An EHCPR is a unit of knowledge resulting in a knowledge base that shows modularity and hierarchy. Extended hierarchical censored production rules (EHCPRs) have been used to represent the knowledge in intelligent systems.