Browsing by Author "AbdulRaheem, M."

Now showing 1 - 4 of 4
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    A semantic framework for e-commerce using web ontology language 2
    (the Faculty of Natural and Applied Sciences, Al-Hikmah University, Ilorin, 2017) Jimoh, R. G.; Kinssinger, S.; Agbo, F. J.; AbdulRaheem, M.; Tomori, R. A.; Salimonu, I. R.
    Several web applications have been deployed by business enterprises through which their products would not only be made available on the internet, but also enable their prospective consumers to be able to follow some procedures to make their purchases online. This is normally achieved with the help of some technologies provided by the Semantic Web, namely Resource Description Framework (RDF), Resource Description Framework Schema (RDFS), DARPA Agent Markup Language (DAML) plus Ontology Inference Layer (OIL) and Web Ontology Language (OWL1). The Present study leverages on some of the Semantic Web technologies mentioned in the previous sentence in order to design a Semantic framework for enhancing Business to Consumer (B2C) e-commerce applications. In this paper, the researchers developed OWL 2 ontology rich in more expressive OWL constructs for rich entailments. Qualified Cardinality Restriction (QCR) which OWL 2 is known for, is also applied to the ontology. Also in this paper, the researchers compared two popular reasoners in querying the underlying ontology in a programmatic way. The overall aim of this research is to provide a more efficient framework for B2C through the right choice and combination of some Semantic Web languages.
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    Customer Churn Prediction in Telecommunications Using Ensemble Technique
    (Department of Computer Science, University of Ibadan, Ibadan, Nigeria, 2023) Oladipo, I. D.; Awotunde, J. B.; AbdulRaheem, M.; Taofeek-Ibrahim, F. A.; Obaje, O.; Ndunagu, J. N.
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    Design of intelligence gathering model: A semantic web based approach
    (the Faculty of Natural and Applied Sciences, Al-Hikmah University, Ilorin, Nigeria, 2018) Jimoh, R. G.; Agbo, F. J.; Kinssinger, S.; AbdulRaheem, M.; Tomori, R. A.; Salimonu, I. R.
    Intelligence information gathering, investigation and analysis are vital components of security management in any given society. The ability to know what, where and when events occur is a key element of investigation process especially in a large dataset. This is a thematic, spatial and temporal (TST) reporting issue. Semantic Web technologies such as Resource Description Framework (RDF), Resource Description Framework Schema (RDFS) and Web Ontology Language (OWL) have been discovered to be a good approach to solving this problem. In this study, the researchers proposed a semantic web based intelligence gathering model for TST using OWL ontology, which has more expressive constructs than RDF. The study further demonstrated the use of Semantic Query-enhanced Web Rule Language (SQWRL), Semantic Web Rule Language (SWRL), Jess and OWL APIs for ontology reasoning and inferences. The model presents university ontology, which could be applied in implementing security intelligence gathering in university community. Thus, this paper established the possibility of gathering intelligence information that satisfied TST through semantic web based tools.
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    Office Application in Digital Skill Acquisition, GNS 312,
    (General Studies Division, University of Ilorin, 2017) Jimoh, R. G.; Ahmed, M. I.,; Mabayoje, M. A.; AbdulRaheem, M.; Salihu, S. A
    GNS NOTE