OMU: An Ontology For Mosul University
Author(s) -
Ban Mustafa,
Ibrahiem Adnan
Publication year - 2019
Publication title -
maǧallaẗ al-rāfidayn li-ʿulūm al-ḥāsibāt wa-al-riyāḍiyyāẗ/al-rafidain journal for computer sciences and mathematics
Language(s) - English
Resource type - Journals
eISSN - 2311-7990
pISSN - 1815-4816
DOI - 10.33899/csmj.2020.163515
Subject(s) - ontology , computer science , upper ontology , ontology based data integration , owl s , information retrieval , ontology inference layer , semantic web , suggested upper merged ontology , ontology alignment , inference , process ontology , visualization , data science , world wide web , data mining , artificial intelligence , semantic web stack , philosophy , epistemology
Nowadays, data from different real-time data streams are coming in. The classical relational database systems cannot manage such big data. Big data should be managed in a way that keeps the semantic relations between different concepts. Ontology is a powerful tool that comes from the concept of the semantic web, can formulate data schema as semantically connected objects. Ontology can be shared and reused across different domains and sites. In this paper, an ontology that captures the main concepts and their relationships in Mosul university is proposed. The main steps for OMU (ontology for Mosul University) development are showen using protégé ontology editor. Also, several queries are implemented to show how we can use inference engine to infer new and implicit knowledge from ontologies. visualization tools are used to visualize OMU ontology.
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